A performance testing method and system for oil well cement

Abstract

The present invention relates to the technical field of cement performance detection, and in particular to a performance detection method and system for oil well cement. The method comprises the following steps: by deploying pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors in the process of oil well cement slurry injection, and collecting process parameters in real time, obtaining real-time pressure strength data, real-time temperature data and real-time flow data of oil well cement; obtaining oil well cement flow performance index parameters, oil well cement compressive strength performance index parameters and oil well cement anti-permeability performance index parameters, and performing comprehensive cement performance detection on the oil well cement in the process of oil well cement slurry injection, generating a comprehensive detection report of the oil well cement slurry performance influencing system, so as to perform corresponding oil well cement slurry performance optimization operations. The present invention can comprehensively and accurately evaluate various performance parameters of oil well cement.

Description

Technical Field

[0001] The present invention relates to the technical field of cement performance detection, and in particular to a method and system for detecting the performance of oil well cement. Background Art

[0002] In the process of oil well drilling and completion, cement cementing is a key link to ensure wellbore integrity and safe production. With the advancement of science and technology and the improvement of industrial demand, oil well cement performance testing methods based on new technologies have become an urgent need of the industry, providing new solutions for improving cement cementing quality and engineering safety. By introducing non-destructive testing technologies such as ultrasonic testing, X-ray diffraction, infrared thermal imaging, sensor detection, acoustic wave detection, etc., these technologies can obtain key parameters such as cement curing state, strength characteristics, permeability and structural uniformity in real time without destroying cement samples. For example, acoustic wave technology can penetrate cement materials and measure the propagation speed and attenuation of sound waves to infer the density and anti-permeability of cement, while X-ray diffraction technology can analyze the crystal structure and component distribution of cement and provide more detailed physical and chemical information. It also combines machine learning algorithms to establish a prediction model related to cement performance, which can automatically identify and analyze the characteristics and defects in different cement samples. However, traditional cement performance testing methods mainly rely on laboratory testing and manual observation, and there are problems such as untimely data acquisition and low accuracy of test results. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a method and system for detecting the performance of oil well cement to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for testing the performance of oil well cement comprises the following steps:

[0005] Step S1: deploying a pressure sensor, an acoustic wave transmitter, an acoustic wave receiver, a temperature sensor and a flow sensor during the oil well cement slurry injection process, and collecting process parameters of the oil well cement in the oil well cement slurry injection process in real time through the pressure sensor, the temperature sensor and the flow sensor, so as to obtain real-time pressure strength data, real-time temperature data and real-time flow data of the oil well cement;

[0006] Step S2: Based on the real-time pressure strength data of oil well cement, the real-time flow rate data of oil well cement is evaluated and analyzed for flow performance index, and the flow performance index parameters of oil well cement are obtained; based on the real-time temperature data of oil well cement and the real-time flow rate data of oil well cement, the real-time pressure strength data of oil well cement is evaluated and analyzed for compressive strength performance index, and the compressive strength performance index parameters of oil well cement are obtained;

[0007] Step S3: starting the acoustic wave transmitter to transmit acoustic waves to the oil well cement in the oil well cement slurry injection process to generate an oil well cement acoustic wave penetration transmission signal; performing an anti-permeability performance index evaluation and analysis on the oil well cement acoustic wave penetration transmission signal based on the acoustic wave receiver to obtain an oil well cement anti-permeability performance index parameter;

[0008] Step S4: Based on the oil well cement flow performance index parameters, oil well cement compressive strength performance index parameters and oil well cement anti-permeability performance index parameters, the oil well cement in the oil well cement slurry injection process is subjected to a comprehensive cement performance test, and a comprehensive test report of the oil well cement slurry performance influencing system is generated to perform corresponding oil well cement slurry performance optimization operations.

[0009] Further, step S1 includes the following steps:

[0010] Step S11: performing oil well structure topology analysis on the oil well cement slurry injection process to obtain a complex structure distribution framework of the oil well cement slurry injection process;

[0011] Step S12: performing a sensor coverage deployment strategy analysis on the oil well cement slurry injection process based on the complex structure distribution framework of the oil well cement slurry injection process to generate an optimal deployment strategy solution for oil well sensors; deploying a pressure sensor, an acoustic wave transmitter, an acoustic wave receiver, a temperature sensor, and a flow sensor in the oil well cement slurry injection process based on the optimal deployment strategy solution for oil well sensors;

[0012] Step S13: using a pressure sensor to collect the pressure strength of the oil well cement in the oil well cement slurry injection process in real time to obtain real-time pressure strength data of the oil well cement;

[0013] Step S14: using a temperature sensor to collect the temperature of the oil well cement in the oil well cement slurry injection process in real time to obtain real-time temperature data of the oil well cement;

[0014] Step S15: The flow rate of the oil well cement in the oil well cement slurry injection process is collected in real time by means of a flow sensor to obtain real-time flow rate data of the oil well cement.

[0015] Further, step S12 includes the following steps:

[0016] Step S121: performing three-dimensional modeling processing on the complex structure distribution framework of the oil well cement slurry injection process to obtain a three-dimensional model of the spatial structure of the oil well cement slurry injection process;

[0017] Step S122: performing fluid dynamics simulation processing on the three-dimensional model of the spatial structure of the oil well cement slurry injection process to obtain a simulation process of fluid flow changes in the three-dimensional model of the spatial structure of the oil well;

[0018] Step S123: Designing a flow change grid for the fluid flow change simulation process of the three-dimensional model of the oil well space structure, and obtaining a fluid flow change process path grid for the three-dimensional model of the oil well; performing flow path identification and analysis on the fluid flow change simulation process of the three-dimensional model of the oil well space structure based on the fluid flow change process path grid for the three-dimensional model of the oil well space structure, and obtaining a fluid flow change path for the three-dimensional model of the oil well space structure;

[0019] Step S124: determining flow monitoring nodes for the fluid flow change path of the three-dimensional model of the oil well spatial structure, and obtaining key nodes for monitoring flow changes in the three-dimensional model of the oil well structure;

[0020] Step S125: Based on the key nodes of flow change monitoring of the three-dimensional model of the oil well structure, the sensor coverage deployment strategy of the oil well cement slurry injection process is analyzed to generate the optimal deployment strategy plan for the oil well sensors; based on the optimal deployment strategy plan for the oil well sensors, pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors are deployed during the oil well cement slurry injection process.

[0021] Further, step S124 includes the following steps:

[0022] Perform flow path inflection point statistical analysis on the fluid flow change path of the three-dimensional model of the oil well spatial structure to obtain the fluid flow path inflection point of the three-dimensional model of the oil well structure;

[0023] Positioning the spatial coordinates of the inflection point of the fluid flow path of the three-dimensional model of the oil well structure to obtain the spatial coordinates of the inflection point of the fluid flow of the oil well structure;

[0024] Performing fluid flow velocity measurement processing on the inflection points of the fluid flow path of the three-dimensional model of the oil well structure to obtain the fluid flow velocity at the inflection points of the flow path of each oil well structure;

[0025] Based on the spatial position coordinates of the inflection point of the fluid flow inflection point of the oil well structure, the instantaneous velocity of the flow in the preceding and following periods of the inflection point of the fluid flow path of the three-dimensional model of the oil well structure is statistically analyzed to obtain the instantaneous velocity of the flow in the preceding period and the instantaneous velocity of the flow in the following period at the inflection point of the flow path of each oil well structure;

[0026] Based on the instantaneous flow velocity of the preceding time period and the instantaneous flow velocity of the following time period at the inflection point of the flow path of each oil well structure, the degree of velocity mutation of the fluid flow velocity at the inflection point of the flow path of each oil well structure is quantitatively calculated to obtain the degree of fluid velocity mutation at the inflection point of the flow path of each oil well structure; according to the degree of fluid velocity mutation at the inflection point of the flow path of each oil well structure, the inflection point of the fluid flow path of the three-dimensional model of the oil well structure is screened and processed for flow monitoring key nodes to obtain the key nodes for flow change monitoring of the three-dimensional model of the oil well structure.

[0027] Further, step S2 includes the following steps:

[0028] Step S21: Draw a cement pressure strength curve based on the real-time pressure strength data of oil well cement to generate a real-time pressure strength change curve of oil well cement;

[0029] Step S22: performing cement pressure gradient division on the real-time oil well cement pressure strength change curve to obtain the oil well cement pressure strength change gradient interval; performing pressure gradient constraint analysis on different oil well cement pressure strength change gradient intervals to generate different oil well cement pressure strength gradient constraint conditions;

[0030] Step S23: performing time-series synchronization processing on the real-time flow rate data of the oil well cement based on the time-series variation range of the real-time pressure strength data of the oil well cement to obtain the time-series synchronized flow rate data of the oil well cement;

[0031] Step S24: performing flow rate change statistics analysis on the oil well cement time series synchronous flow rate data based on different oil well cement pressure strength gradient constraints to obtain the flow rate change rate of the oil well cement under given pressure gradient conditions; performing flow performance index evaluation and analysis on the oil well cement real-time flow rate data according to the flow rate change rate of the oil well cement under given pressure gradient conditions to obtain the flow performance index parameters of the oil well cement;

[0032] Step S25: Based on the real-time temperature data and the real-time flow data of the oil well cement, the real-time pressure strength data of the oil well cement is evaluated and analyzed for the compressive strength performance index, and the compressive strength performance index parameters of the oil well cement are obtained.

[0033] Further, step S25 includes the following steps:

[0034] Step S251: performing temperature impact correlation analysis on real-time pressure strength data of oil well cement based on real-time temperature data of oil well cement, and obtaining a correlation model of the impact of temperature-pressure strength changes of oil well cement;

[0035] Step S252: performing flow rate impact correlation analysis on the real-time pressure strength data of oil well cement based on the real-time flow rate data of oil well cement, and obtaining the oil well cement flow rate-pressure strength change impact correlation model;

[0036] Step S253: Based on the oil well cement temperature-pressure strength change impact correlation mode and the oil well cement flow-pressure strength change impact correlation mode, the real-time oil well cement pressure strength data is analyzed for pressure strength change fluctuation, so as to obtain the pressure strength change fluctuation range of the oil well cement under different temperature and flow conditions;

[0037] Step S254: performing compressive strength performance index evaluation and analysis on the real-time pressure strength data of oil well cement according to the pressure strength variation fluctuation range of oil well cement under different temperature and flow conditions, and obtaining the compressive strength performance index parameters of oil well cement.

[0038] Further, step S3 includes the following steps:

[0039] Step S31: starting the acoustic wave transmitter to transmit acoustic waves to the oil well cement in the oil well cement slurry injection process to generate an oil well cement acoustic wave penetration transmission signal;

[0040] Step S32: Performing initial monitoring of the emission point signal of the oil well cement acoustic wave penetration emission signal to obtain the initial intensity of the oil well cement acoustic propagation emission point signal;

[0041] Step S33: Start the acoustic wave receiver to record the acoustic wave propagation time of the oil well cement acoustic wave penetration transmission signal and monitor the receiving point signal to obtain the acoustic propagation time between the oil well cement and the signal strength of the oil well cement acoustic propagation receiving point;

[0042] Step S34: performing signal propagation attenuation evaluation and analysis on the initial signal strength of the oil well cement acoustic propagation emission point and the signal strength of the oil well cement acoustic propagation receiving point to obtain the attenuation degree of the acoustic propagation signal strength change between the oil well cement;

[0043] Step S35: Based on the acoustic propagation time between oil well cements and the attenuation degree of the acoustic propagation signal intensity change between oil well cements, the oil well cement acoustic wave penetration emission signal is evaluated and analyzed to obtain the oil well cement anti-permeability performance index parameters.

[0044] Further, step S35 includes the following steps:

[0045] Step S351: Based on the long acoustic propagation time between oil well cements, a propagation velocity statistical analysis is performed on the oil well cement acoustic wave penetration emission signal to obtain the acoustic signal propagation velocity between oil well cements;

[0046] Step S352: analyzing the impact of the acoustic signal propagation speed between oil well cements and the attenuation degree of the acoustic signal intensity between oil well cements on the anti-permeability performance of the oil well cement acoustic wave penetration emission signal, and obtaining the anti-permeability performance impact factor of the signal propagation speed between oil well cements and the anti-permeability performance impact factor of the signal intensity attenuation between oil well cements;

[0047] Step S353: evaluating and analyzing the anti-permeability performance index of the oil well cement acoustic wave penetration emission signal according to the anti-permeability performance influencing factor of the signal propagation speed between oil well cement and the anti-permeability performance influencing factor of the signal intensity attenuation between oil well cement, and obtaining the oil well cement anti-permeability performance index parameter.

[0048] Further, step S4 includes the following steps:

[0049] Step S41: Based on the oil well cement flow performance index parameter, the oil well cement compressive strength performance index parameter and the oil well cement anti-permeability performance index parameter, the oil well cement performance impact assessment analysis is performed on the oil well cement in the oil well cement slurry injection process to obtain the performance impact degree of the oil well cement under different performance index parameter conditions;

[0050] Step S42: assigning performance influence weights to the flow performance index parameter, the compressive strength performance index parameter and the anti-permeability performance index parameter of the oil well cement according to the performance influence degree of the oil well cement under different performance index parameter conditions, and obtaining the performance influence sub-weights of the oil well cement under different performance index parameter conditions;

[0051] Step S43: quantifying the performance of cement based on the performance influencing sub-weights of the oil well cement under different performance index parameter conditions, the oil well cement flow performance index parameter, the oil well cement compressive strength performance index parameter and the oil well cement anti-permeability performance index parameter, and obtaining a comprehensive performance score of the oil well cement slurry performance influencing system;

[0052] Step S44: Perform performance test feedback analysis on the oil well cement in the oil well cement slurry injection process according to the comprehensive performance score of the oil well cement slurry performance influence system, generate a comprehensive test report of the oil well cement slurry performance influence system, and perform corresponding oil well cement slurry performance optimization operations.

[0053] Furthermore, the present invention also provides a performance detection system for oil well cement, which is used to perform the performance detection method for oil well cement as described above. The performance detection system for oil well cement comprises:

[0054] The oil well cement process parameter real-time acquisition module is used to deploy pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors in the oil well cement slurry injection process, and to collect process parameters of the oil well cement in the oil well cement slurry injection process in real time through the pressure sensors, temperature sensors and flow sensors, so as to obtain real-time pressure strength data, real-time temperature data and real-time flow data of the oil well cement;

[0055] The cement flow and compressive performance index evaluation module is used to evaluate and analyze the flow performance index of the oil well cement real-time flow data based on the oil well cement real-time pressure strength data, and obtain the oil well cement flow performance index parameters; based on the oil well cement real-time temperature data and the oil well cement real-time flow data, the oil well cement real-time pressure strength data is evaluated and analyzed to obtain the oil well cement compressive strength performance index parameters;

[0056] The oil well cement acoustic anti-permeability performance index evaluation module is used to start the acoustic wave transmitter to transmit the acoustic wave penetration to the oil well cement in the oil well cement slurry injection process to generate the oil well cement acoustic wave penetration transmission signal; based on the acoustic wave receiver, the oil well cement acoustic wave penetration transmission signal is evaluated and analyzed for the anti-permeability performance index, so as to obtain the oil well cement anti-permeability performance index parameters;

[0057] The oil well cement performance comprehensive detection module is used to conduct comprehensive cement performance detection on the oil well cement in the oil well cement slurry injection process based on the oil well cement flow performance index parameters, oil well cement compressive strength performance index parameters and oil well cement anti-permeability performance index parameters, and generate a comprehensive detection report on the oil well cement slurry performance influencing system to perform corresponding oil well cement slurry performance optimization operations.

[0058] Beneficial effects of the present invention:

[0059] 1. Compared with the prior art, the performance detection method of oil well cement proposed in the present invention has the beneficial effect of deploying pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors in the process of oil well cement slurry injection, comprehensively considering the physical form of the oil well structure, the liquid flow characteristics and the changes in process parameters, and formulating the best sensor deployment position. The position and quantity of each sensor need to be accurately planned according to the actual situation, so as to ensure that the key process data changes and abnormal conditions can be captured. At the same time, by using pressure sensors to collect the pressure strength of oil well cement in the process of oil well cement slurry injection in real time, pressure is one of the important parameters in the process of evaluating oil well cement slurry injection, which directly affects the stability and safety of the oil well structure. By collecting the pressure strength data of oil well cement in real time, abnormal conditions can be discovered in time and measures can be taken to ensure the smooth progress of the injection process. The temperature of the oil well cement in the oil well cement slurry injection process is collected in real time by using temperature sensors. Temperature is another important monitoring parameter that can reflect the thermal state and possible thermal deformation inside the oil well. This step helps prevent structural problems caused by overheating or overcooling and optimize the temperature control strategy of the injection process by real-time monitoring of the temperature changes of the oil well cement. The flow rate of the oil well cement in the oil well cement slurry injection process is also collected in real time by using flow sensors. The flow rate data is the key basis for evaluating the injection rate and fluid movement state, and is crucial for controlling and optimizing the injection process. By collecting the flow rate data of the oil well cement in real time, the stability of the injection rate and the control of the fluidity can be ensured, the process can be carried out efficiently, and the basic data guarantee can be provided for the subsequent processing process, so that the corresponding oil well cement process parameters can be obtained in time. Secondly, the flow performance index evaluation and analysis of the real-time flow data of the oil well cement based on the real-time pressure strength data of the oil well cement can not only quantify the specific performance and response ability of the cement, but also provide a scientific basis for subsequent engineering design and operation optimization, thereby maximizing the production efficiency and resource utilization of the oil field. The compressive strength performance index of oil well cement real-time pressure strength data is evaluated and analyzed based on the real-time temperature data of oil well cement and the real-time flow data of oil well cement. The key to this step is to comprehensively consider the compressive performance of cement under different temperature and flow conditions to evaluate its stability and safety in actual operations. Through this evaluation, the actual working capacity and scope of application of cement can be determined, thereby providing comprehensive technical support and risk management strategies for oil well operations. Then, the acoustic wave transmitter is started to transmit acoustic waves to the oil well cement in the oil well cement slurry injection process in order to generate acoustic wave penetration transmission signals of oil well cement. This process applies acoustic waves to cement to generate acoustic signals for subsequent acoustic wave propagation and monitoring analysis.The penetration emission of acoustic waves can not only detect the internal structure and characteristics of cement, but also evaluate its stability and performance in the oil well environment. The application of this technology can effectively help determine the quality and reliability of cement, and provide important support for the safety and efficiency of oil well engineering. By evaluating and analyzing the anti-penetration performance index of the acoustic wave penetration emission signal of oil well cement based on the acoustic wave receiver, this step can evaluate and analyze the anti-penetration ability and structural stability of oil well cement under the acoustic wave monitoring conditions. Through this evaluation, the applicability and reliability of cement in downhole operations can be determined, providing a scientific basis and technical guarantee for material selection and process optimization in oilfield engineering. Finally, the cement performance of oil well cement in the oil well cement slurry injection process is comprehensively tested based on the flow performance index parameters of oil well cement, the compressive strength performance index parameters of oil well cement, and the anti-penetration performance index parameters of oil well cement. This step aims to generate a comprehensive test report on the oil well cement slurry performance influence system through a detailed analysis of the evaluation results. This report can not only guide the adjustment and improvement of the current cement injection process, but also provide a reference for future engineering design and operation. Through regular performance testing and feedback analysis, the performance of oil well cement slurry can be continuously optimized to ensure its stability and reliability in complex oilfield environments, thereby improving the accuracy of oil well cement slurry performance test results.

[0060] 2. The oil well cement performance detection system proposed in the present invention is generally composed of an oil well cement process parameter real-time acquisition module, a cement flow and compression resistance performance index evaluation module, an oil well cement acoustic anti-permeability performance index evaluation module and an oil well cement performance comprehensive detection module. It can realize any oil well cement performance detection method described in the present invention, and is used to combine the operations between computer programs running on each module to realize the oil well cement performance detection method. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient oil well cement performance detection process, thereby simplifying the operating procedures of the oil well cement performance detection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0062] Figure 1 It is a schematic diagram of the steps of the performance testing method of oil well cement of the present invention;

[0063] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0064] Figure 3 for Figure 2Detailed step flow chart of step S12 in FIG. DETAILED DESCRIPTION

[0065] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0066] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0067] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0068] To achieve this, please refer to Figures 1 to 3 The present invention provides a method for detecting the performance of oil well cement, the method comprising the following steps:

[0069] Step S1: deploying a pressure sensor, an acoustic wave transmitter, an acoustic wave receiver, a temperature sensor and a flow sensor during the oil well cement slurry injection process, and collecting process parameters of the oil well cement in the oil well cement slurry injection process in real time through the pressure sensor, the temperature sensor and the flow sensor, so as to obtain real-time pressure strength data, real-time temperature data and real-time flow data of the oil well cement;

[0070] Step S2: Based on the real-time pressure strength data of oil well cement, the real-time flow rate data of oil well cement is evaluated and analyzed for flow performance index, and the flow performance index parameters of oil well cement are obtained; based on the real-time temperature data of oil well cement and the real-time flow rate data of oil well cement, the real-time pressure strength data of oil well cement is evaluated and analyzed for compressive strength performance index, and the compressive strength performance index parameters of oil well cement are obtained;

[0071] Step S3: starting the acoustic wave transmitter to transmit acoustic waves to the oil well cement in the oil well cement slurry injection process to generate an oil well cement acoustic wave penetration transmission signal; performing an anti-permeability performance index evaluation and analysis on the oil well cement acoustic wave penetration transmission signal based on the acoustic wave receiver to obtain an oil well cement anti-permeability performance index parameter;

[0072] Step S4: Based on the oil well cement flow performance index parameters, oil well cement compressive strength performance index parameters and oil well cement anti-permeability performance index parameters, the oil well cement in the oil well cement slurry injection process is subjected to a comprehensive cement performance test, and a comprehensive test report of the oil well cement slurry performance influencing system is generated to perform corresponding oil well cement slurry performance optimization operations.

[0073] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the performance testing method of oil well cement of the present invention. In this example, the performance testing method of oil well cement includes the following steps:

[0074] Step S1: deploying a pressure sensor, an acoustic wave transmitter, an acoustic wave receiver, a temperature sensor and a flow sensor during the oil well cement slurry injection process, and collecting process parameters of the oil well cement in the oil well cement slurry injection process in real time through the pressure sensor, the temperature sensor and the flow sensor, so as to obtain real-time pressure strength data, real-time temperature data and real-time flow data of the oil well cement;

[0075] In an embodiment of the present invention, by using advanced computer-aided design (CAD) software, such as AutoCAD or professional oilfield software Petrel, etc., the overall structure of the oil well during the oil well cement slurry injection process is topologically analyzed to achieve a comprehensive understanding of the oil well structure, including the layout and connection methods of key parts such as the wellbore, wellhead and pipeline to establish a structural distribution framework, and after obtaining the structural distribution framework, a corresponding sensor coverage deployment strategy is formulated. This step is intended to determine the best sensor layout scheme to monitor and control the process requirements during the cement slurry injection process and analyze the appropriate positions and quantities of various sensors. For example, assuming that engineers have determined the cement slurry injection area based on the topological analysis of the oil well structure, they will use simulation software to determine the best deployment position of the pressure sensor to monitor the pressure change and filling effect of the cement slurry in real time, and will use the determined best deployment scheme of the oil well sensor to deploy pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors at the corresponding key node positions during the oil well cement slurry injection process. Then, the pressure intensity of the oil well cement in the oil well cement slurry injection process is collected in real time by using the deployed pressure sensor, so as to collect the pressure intensity generated by the oil well cement during the injection process in real time. The temperature of the oil well cement in the oil well cement slurry injection process is collected in real time by using the deployed temperature sensor, so as to monitor the temperature change of the oil well cement slurry in real time. The flow rate of the oil well cement in the oil well cement slurry injection process is collected in real time by using the deployed flow sensor, so as to monitor the injection rate and flow rate of the cement slurry in real time. These sensors are installed on the pipeline system or the injection device, and can accurately measure the flow rate change of the cement slurry during the injection process, and finally obtain the real-time pressure intensity data, real-time temperature data and real-time flow data of the oil well cement.

[0076] Step S2: Based on the real-time pressure strength data of oil well cement, the real-time flow rate data of oil well cement is evaluated and analyzed for flow performance index, and the flow performance index parameters of oil well cement are obtained; based on the real-time temperature data of oil well cement and the real-time flow rate data of oil well cement, the real-time pressure strength data of oil well cement is evaluated and analyzed for compressive strength performance index, and the compressive strength performance index parameters of oil well cement are obtained;

[0077] In an embodiment of the present invention, a pressure change curve is drawn for the real-time pressure strength data of oil well cement by using a visualization analysis tool. In actual operation, it is necessary to obtain real-time pressure strength from the oil well, which is usually achieved by sensors installed on oil pipes or downhole equipment. These sensors will continuously record the pressure changes of oil well cement, and then transmit the data to the data acquisition system. By processing and analyzing these data, a curve of the relationship between time and pressure strength can be drawn to show the real-time pressure strength change trend of oil well cement during operation, and the real-time pressure strength change curve of oil well cement is divided into different cement pressure gradient intervals according to the change trend of the curve to more accurately define different operating states and pressure ranges. This involves being able to divide the pressure strength curve into several gradient intervals according to different rates or amplitudes of pressure change, such as high pressure gradient, medium pressure gradient and low pressure gradient. At the same time, by performing pressure gradient constraint analysis on each different oil well cement pressure strength change gradient interval, the main purpose of this step is to determine the pressure strength of the oil well cement according to the actual pressure gradient. Operation requirements and safety standards, formulate corresponding pressure gradient constraints, which will be defined as the maximum and minimum pressure changes allowed in each pressure gradient interval, and synchronize the timing of the corresponding oil well cement real-time flow data according to the time series change range of the real-time pressure intensity data of the oil well cement, so as to match and synchronize the pressure intensity and flow data, and use mathematical statistical methods to perform statistical analysis of the flow change rate of the corresponding oil well cement time series synchronized flow data by combining the pressure intensity gradient constraints obtained by the previous constraints, so as to analyze the actual performance of the oil well cement flow under different pressure gradient conditions, and statistically analyze its change trends and laws under different pressure constraints, and secondly, by combining the flow change rate of the oil well cement under the given pressure gradient conditions obtained by the previous analysis, the corresponding oil well cement real-time flow data is statistically calculated to calculate the flow performance performance, so as to quantitatively calculate the specific performance score of the oil well cement (for example, viscosity), for example, the calculation formula for the corresponding flow viscosity performance of the oil well cement can be: ,in Score the specific performance of oil well cement (i.e., the flow viscosity of oil well cement), is the oil well cement flow adjustment factor, is the minimum pressure under the pressure intensity gradient constraint, is the maximum pressure under the pressure intensity gradient constraint, is the pressure integral variable parameter under the current oil well cement flow rate, is the flow rate change rate, is the oil well cement flow viscosity pressure influence index, thereby obtaining the oil well cement flow performance index parameter. Then, by combining the oil well cement real-time temperature data and oil well cement real-time flow data previously collected in real time, the corresponding oil well cement real-time pressure strength data is comprehensively evaluated and analyzed for compressive strength performance, so as to comprehensively consider the compressive performance of cement under different temperature and flow conditions, and evaluate and determine the specific parameters and performance indicators of its compressive performance. For example, assuming that during the pressure test, the compressive strength of cement can be evaluated by monitoring the temperature change and flow fluctuation of cement. If the pressure strength of cement is stable under high temperature and high flow conditions, and its pressure strength will decrease under low temperature or low flow conditions, according to these data analysis, the compressive performance parameters of cement under different working conditions can be determined, and finally the oil well cement compressive strength performance index parameters are obtained.

[0078] Step S3: starting the acoustic wave transmitter to transmit acoustic waves to the oil well cement in the oil well cement slurry injection process to generate an oil well cement acoustic wave penetration transmission signal; performing an anti-permeability performance index evaluation and analysis on the oil well cement acoustic wave penetration transmission signal based on the acoustic wave receiver to obtain an oil well cement anti-permeability performance index parameter;

[0079] In an embodiment of the present invention, the acoustic wave transmitter previously deployed is activated to transmit the acoustic wave signal to the oil well cement in the oil well cement slurry injection process. In actual operation, the operator will install an acoustic wave transmitter, such as an ultrasonic transmitter, in the oil well, and apply sound waves to the cement slurry in the oil well by controlling the frequency and intensity of the transmitter, thereby generating an oil well cement acoustic wave penetration transmission signal. The acoustic sensor is also used to record the previously emitted oil well cement acoustic wave penetration emission signal at different depths to monitor and record the initial emission signal strength of the acoustic wave, and the acoustic wave propagation time of the previously emitted oil well cement acoustic wave penetration emission signal is recorded by starting the acoustic wave receiver and the signal strength at the receiving point is monitored in real time. This step involves using an acoustic wave receiver, such as an ultrasonic receiver, to record the propagation time of the sound wave in the oil well cement and the signal strength at the receiving point of the acoustic wave receiver. The signal strength difference calculation method is also used to quantitatively calculate the propagation attenuation of the signal initial strength obtained by the previous analysis and the signal strength when received. This process includes analyzing the signal attenuation of the sound wave from the emission point to the receiving point. The calculation is usually evaluated by comparing the changes in the sound wave intensity at different depths or under different conditions, so as to quantitatively calculate the intensity attenuation of the acoustic wave during the propagation process in the oil well cement. Then, the propagation speed of the acoustic wave in the oil well cement is calculated based on the propagation time obtained from the previous measurement record, and The anti-permeability performance of the corresponding oil well cement acoustic wave penetration emission signal is evaluated and analyzed by combining the acoustic signal propagation speed and the signal intensity change attenuation degree obtained by analysis, so as to input the signal propagation speed and signal intensity attenuation data into the corresponding mathematical regression analysis model, and the specific influence degree of the signal propagation speed between oil well cement on the anti-permeability performance (that is, the signal propagation speed anti-permeability performance influencing factor) and the specific influence degree of the signal intensity attenuation on the anti-permeability performance (that is, the signal intensity attenuation anti-permeability performance influencing factor) are quantitatively calculated by applying the least squares method. The anti-permeability performance index of the corresponding oil well cement acoustic wave penetration emission signal is quantitatively calculated by combining the signal propagation speed anti-permeability performance influencing factor and the signal intensity attenuation anti-permeability performance influencing factor obtained by the previous evaluation and analysis, so as to evaluate and analyze the influence of the acoustic signal propagation speed and intensity attenuation on the cement performance, and calculate the anti-permeability performance score or grade of the oil well cement sample. For example, the calculation formula of the corresponding quantitative calculation can be specifically: , where is the oil well cement anti-permeability performance index parameter (that is, it can be the anti-permeability performance score), is the influencing factor of the anti-permeability performance of the signal propagation speed between oil well cements, is the propagation speed of acoustic signals between oil well cements, Adjust the parameter for the propagation speed exponentially, is the influencing factor of signal intensity attenuation and anti-permeability performance between oil well cements, It is the attenuation degree of the acoustic propagation signal intensity change between oil well cements, and finally the oil well cement anti-permeability performance index parameters are obtained.

[0080] Step S4: Based on the oil well cement flow performance index parameters, oil well cement compressive strength performance index parameters and oil well cement anti-permeability performance index parameters, the oil well cement in the oil well cement slurry injection process is subjected to a comprehensive cement performance test, and a comprehensive test report of the oil well cement slurry performance influencing system is generated to perform corresponding oil well cement slurry performance optimization operations.

[0081] In an embodiment of the present invention, the oil well cement flow performance index parameters (such as viscosity), oil well cement compressive strength performance index parameters (such as compressive strength) and oil well cement anti-permeability performance index parameters (such as anti-permeability performance score) obtained by combining the previously analyzed parameters are input into the data analysis software, and the oil well cement in the corresponding oil well cement slurry injection process is evaluated and analyzed using a multivariate regression analysis method, so as to evaluate and analyze the regression coefficients corresponding to different performance index parameter conditions (viscosity, compressive strength and permeability coefficient under different numerical conditions) by using the multivariate regression method in the data analysis software, for example, the multivariate regression calculation formula shown below can be used: ,in is the oil well cement strength, is the multivariate regression intercept, is the viscosity of oil well cement, is the viscosity regression coefficient, is the compressive strength of oil well cement, is the regression coefficient of compressive strength, is the permeability coefficient of oil well cement, is the regression coefficient of the permeability coefficient, and the least squares method is also used to calculate the corresponding regression coefficient according to the multivariate regression change mathematical model constructed previously, to determine the performance influence degree of the corresponding performance index parameter, and to determine the importance and contribution of the corresponding oil well cement flow performance index parameter, oil well cement compressive strength performance index parameter and oil well cement anti-permeability performance index parameter in the overall performance, so as to determine the appropriate weight for each index according to the actual influence degree of different performance indexes, and combine the previously allocated influence weights of oil well cement under different performance index parameter conditions with the corresponding oil well cement flow performance index parameter, oil well cement compressive strength performance index parameter and oil well cement anti-permeability performance index parameter The specific values ​​of each performance indicator are multiplied and accumulated to calculate a comprehensive performance score by combining the specific values ​​of each performance indicator with its corresponding weight. According to the comprehensive performance score, feedback analysis is conducted on the actual performance of the corresponding oil well cement in the oil well cement slurry injection process to compare the performance of the oil well cement slurry in actual application with the expected comprehensive score, and to identify potential performance gaps or optimization spaces, thereby generating a comprehensive test report on the oil well cement slurry performance influencing system, including performance evaluation results, problem point analysis, and optimization suggestions. Finally, a comprehensive test report on the oil well cement slurry performance influencing system is generated, which can guide the adjustment and improvement of the current cement injection process, thereby helping to improve the performance stability and efficiency of the oil well cement slurry in actual production.

[0082] Further, step S1 includes the following steps:

[0083] Step S11: performing oil well structure topology analysis on the oil well cement slurry injection process to obtain a complex structure distribution framework of the oil well cement slurry injection process;

[0084] Step S12: performing a sensor coverage deployment strategy analysis on the oil well cement slurry injection process based on the complex structure distribution framework of the oil well cement slurry injection process to generate an optimal deployment strategy solution for oil well sensors; deploying a pressure sensor, an acoustic wave transmitter, an acoustic wave receiver, a temperature sensor, and a flow sensor in the oil well cement slurry injection process based on the optimal deployment strategy solution for oil well sensors;

[0085] Step S13: using a pressure sensor to collect the pressure strength of the oil well cement in the oil well cement slurry injection process in real time to obtain real-time pressure strength data of the oil well cement;

[0086] Step S14: using a temperature sensor to collect the temperature of the oil well cement in the oil well cement slurry injection process in real time to obtain real-time temperature data of the oil well cement;

[0087] Step S15: The flow rate of the oil well cement in the oil well cement slurry injection process is collected in real time by means of a flow sensor to obtain real-time flow rate data of the oil well cement.

[0088] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0089] Step S11: performing oil well structure topology analysis on the oil well cement slurry injection process to obtain a complex structure distribution framework of the oil well cement slurry injection process;

[0090] In an embodiment of the present invention, by using advanced computer-aided design (CAD) software, such as AutoCAD or professional oilfield software Petrel, a topological analysis of the overall structure of the oil well during the oil well cement slurry injection process is performed to achieve a comprehensive understanding of the oil well structure, including the layout and connection methods of key parts such as the wellbore, wellhead and pipeline to establish a structural distribution framework, which can accurately grasp the position, relationship and interaction of each component, and finally obtain a complex structural distribution framework for the oil well cement slurry injection process.

[0091] Step S12: performing a sensor coverage deployment strategy analysis on the oil well cement slurry injection process based on the complex structure distribution framework of the oil well cement slurry injection process to generate an optimal deployment strategy solution for oil well sensors; deploying a pressure sensor, an acoustic wave transmitter, an acoustic wave receiver, a temperature sensor, and a flow sensor in the oil well cement slurry injection process based on the optimal deployment strategy solution for oil well sensors;

[0092] In the embodiment of the present invention, after obtaining the complex structure distribution framework of the oil well cement slurry injection process, it is necessary to formulate a sensor coverage deployment strategy. This step is to determine the best sensor layout scheme to monitor and control the process requirements during the cement slurry injection process and analyze the appropriate positions and quantities of various sensors. For example, assuming that engineers have determined the cement slurry injection area based on the oil well structure topology analysis, they will use simulation software to determine the best deployment position of the pressure sensor to monitor the pressure change and filling effect of the cement slurry in real time, thereby generating the best deployment strategy for the oil well sensor. At the same time, by using the previously determined best deployment strategy for the oil well sensor, pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors are deployed at the corresponding key node positions during the oil well cement slurry injection process, thereby achieving comprehensive monitoring of the cement slurry injection process inside the oil well.

[0093] Step S13: using a pressure sensor to collect the pressure strength of the oil well cement in the oil well cement slurry injection process in real time to obtain real-time pressure strength data of the oil well cement;

[0094] In an embodiment of the present invention, the pressure strength of the oil well cement in the oil well cement slurry injection process is collected in real time by using deployed pressure sensors, so as to collect the pressure strength generated by the oil well cement during the injection process in real time. These sensors are usually directly installed inside the wellbore or at the wellhead. By connecting to the data acquisition system, the data can be instantly transmitted to the monitoring center for analysis and recording. For example, in cement performance testing, the pressure sensor can help engineers accurately evaluate the density and fluidity of the cement slurry to ensure its uniformity and strength during the injection process, and finally obtain the real-time pressure strength data of the oil well cement.

[0095] Step S14: using a temperature sensor to collect the temperature of the oil well cement in the oil well cement slurry injection process in real time to obtain real-time temperature data of the oil well cement;

[0096] In an embodiment of the present invention, the temperature of the oil well cement in the oil well cement slurry injection process is collected in real time by using the deployed temperature sensor to monitor the temperature change of the oil well cement slurry in real time, which is very important for controlling the hardening speed and reactivity of the cement. For example, in a high temperature environment, the temperature sensor can help engineers adjust the cement formula to ensure its performance stability and durability under extreme conditions, and finally obtain the real-time temperature data of the oil well cement.

[0097] Step S15: The flow rate of the oil well cement in the oil well cement slurry injection process is collected in real time by means of a flow sensor to obtain real-time flow rate data of the oil well cement.

[0098] In an embodiment of the present invention, the flow rate of oil well cement in the oil well cement slurry injection process is collected in real time by using deployed flow sensors to monitor the injection rate and flow rate of cement slurry in real time. These sensors are installed on the pipeline system or injection device, and can accurately measure the flow change of cement slurry during the injection process. For example, when conducting cement performance testing, the flow sensor can help engineers ensure the uniform distribution and injection rate of cement slurry, thereby ensuring the integrity and sealing effect of the oil well wellbore, and finally obtaining real-time flow data of oil well cement.

[0099] Further, step S12 includes the following steps:

[0100] Step S121: performing three-dimensional modeling processing on the complex structure distribution framework of the oil well cement slurry injection process to obtain a three-dimensional model of the spatial structure of the oil well cement slurry injection process;

[0101] Step S122: performing fluid dynamics simulation processing on the three-dimensional model of the spatial structure of the oil well cement slurry injection process to obtain a simulation process of fluid flow changes in the three-dimensional model of the spatial structure of the oil well;

[0102] Step S123: Designing a flow change grid for the fluid flow change simulation process of the three-dimensional model of the oil well space structure, and obtaining a fluid flow change process path grid for the three-dimensional model of the oil well; performing flow path identification and analysis on the fluid flow change simulation process of the three-dimensional model of the oil well space structure based on the fluid flow change process path grid for the three-dimensional model of the oil well space structure, and obtaining a fluid flow change path for the three-dimensional model of the oil well space structure;

[0103] Step S124: determining flow monitoring nodes for the fluid flow change path of the three-dimensional model of the oil well spatial structure, and obtaining key nodes for monitoring flow changes in the three-dimensional model of the oil well structure;

[0104] Step S125: Based on the key nodes of flow change monitoring of the three-dimensional model of the oil well structure, the sensor coverage deployment strategy of the oil well cement slurry injection process is analyzed to generate the optimal deployment strategy plan for the oil well sensors; based on the optimal deployment strategy plan for the oil well sensors, pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors are deployed during the oil well cement slurry injection process.

[0105] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S12 in the embodiment, step S12 includes the following steps:

[0106] Step S121: performing three-dimensional modeling processing on the complex structure distribution framework of the oil well cement slurry injection process to obtain a three-dimensional model of the spatial structure of the oil well cement slurry injection process;

[0107] In an embodiment of the present invention, by using professional 3D modeling software, such as AutoCAD, SolidWorks or software specifically used for oil well engineering such as Petrel, the complex structural distribution framework of the oil well cement slurry injection process obtained by previous topological analysis is 3D modeled, so as to construct an accurate spatial structure model according to the actual geological structure and wellbore design data of the oil well. These models not only include the three-dimensional morphology of the formation, but also involve specific process details such as the wellbore, casing, and cement slurry injection position. For example, when conducting cement performance testing, it is necessary to accurately model the spatial structure inside the oil well bore in order to simulate and analyze the flow behavior of cement slurry under different pressure and temperature conditions, and finally obtain a three-dimensional model of the spatial structure of the oil well cement slurry injection process.

[0108] Step S122: performing fluid dynamics simulation processing on the three-dimensional model of the spatial structure of the oil well cement slurry injection process to obtain a simulation process of fluid flow changes in the three-dimensional model of the spatial structure of the oil well;

[0109] In an embodiment of the present invention, computational fluid dynamics (CFD) software, such as ANSYS Fluent, COMSOL Multiphysics, etc., is used to simulate the fluid flow inside the three-dimensional model of the spatial structure of the oil well cement slurry injection process obtained by previous three-dimensional modeling to set boundary conditions and initial conditions, and simulate the fluid flow change process after the cement slurry is injected, including changes in parameters such as flow rate, flow path and pressure. For example, when performing cement performance testing, CFD is used to simulate the distribution of cement slurry in the wellbore during the injection process to evaluate its filling effect and sealing performance, and finally obtain the fluid flow change simulation process of the three-dimensional model of the oil well spatial structure.

[0110] Step S123: Designing a flow change grid for the fluid flow change simulation process of the three-dimensional model of the oil well space structure, and obtaining a fluid flow change process path grid for the three-dimensional model of the oil well; performing flow path identification and analysis on the fluid flow change simulation process of the three-dimensional model of the oil well space structure based on the fluid flow change process path grid for the three-dimensional model of the oil well space structure, and obtaining a fluid flow change path for the three-dimensional model of the oil well space structure;

[0111] In an embodiment of the present invention, according to the requirements of the fluid flow change simulation process of the three-dimensional model of the oil well spatial structure, a suitable grid structure is designed to describe the flow change of the fluid inside the three-dimensional model of the oil well. This process usually involves the refinement and coarsening of the grid to ensure that there is sufficient resolution in key areas (such as the wellbore mouth and the cement slurry injection area), and at the same time accurately capture the detailed changes of the fluid flow, and in order to more accurately capture the details and changes of the complex fluid flow inside the oil well, a fluid flow change process path grid of the three-dimensional model of the oil well is obtained. Then, by combining the previously designed fluid flow change process path grid of the three-dimensional model of the oil well, the corresponding fluid flow change simulation process of the three-dimensional model of the oil well spatial structure is subjected to flow path identification and analysis, aiming to accurately identify the main path and key areas of the fluid flow inside the oil well according to the simulation results, and by designing an appropriate grid to simulate the movement of the fluid under different pressure and temperature conditions, the flow path of the cement slurry in different time periods is analyzed, and finally the fluid flow change path of the three-dimensional model of the oil well spatial structure is obtained.

[0112] Step S124: determining flow monitoring nodes for the fluid flow change path of the three-dimensional model of the oil well spatial structure, and obtaining key nodes for monitoring flow changes in the three-dimensional model of the oil well structure;

[0113] In an embodiment of the present invention, after completing the flow path identification and analysis, the flow monitoring nodes of the corresponding fluid flow change path of the three-dimensional model of the oil well spatial structure are determined to identify and determine the key monitoring nodes on the fluid flow change path in the oil well spatial structure, wherein the key nodes generally refer to important position points that affect the flow behavior and effect during the fluid flow process, such as areas with significant flow velocity changes or abnormal flow rates. For example, in cement performance testing, key nodes where flow velocity changes or pressure fluctuations occur during the injection process will be identified to adjust the injection rate and method of the cement slurry, and ultimately obtain the key nodes for monitoring flow changes in the three-dimensional model of the oil well structure.

[0114] Step S125: Based on the key nodes of flow change monitoring of the three-dimensional model of the oil well structure, the sensor coverage deployment strategy of the oil well cement slurry injection process is analyzed to generate the optimal deployment strategy plan for the oil well sensors; based on the optimal deployment strategy plan for the oil well sensors, pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors are deployed during the oil well cement slurry injection process.

[0115] In an embodiment of the present invention, by combining the previously determined key nodes for monitoring flow changes in the three-dimensional model of the oil well structure, a sensor coverage deployment strategy analysis is performed on the corresponding oil well cement slurry injection process. This step includes evaluating the best strategy for deploying sensors during the oil well cement slurry injection process to ensure that the dynamic changes of the fluid at the key node positions can be effectively monitored and recorded, wherein the deployment of sensors can cover a variety of types, such as pressure sensors, acoustic wave transmitters and receivers, temperature sensors, and flow sensors, etc. These sensors can provide real-time data on fluid flow status and environmental changes. For example, in the cement performance detection process, pressure sensors are deployed at key nodes to monitor the pressure changes during the cement slurry injection process, thereby formulating the best oil well sensor deployment strategy plan to ensure comprehensive monitoring and control during the oil well cement slurry injection process. At the same time, by using the previously determined best oil well sensor deployment strategy plan, pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors, and flow sensors are deployed at the corresponding key node positions during the oil well cement slurry injection process, thereby achieving comprehensive monitoring of the cement slurry injection process inside the oil well.

[0116] Further, step S124 includes the following steps:

[0117] Perform flow path inflection point statistical analysis on the fluid flow change path of the three-dimensional model of the oil well spatial structure to obtain the fluid flow path inflection point of the three-dimensional model of the oil well structure;

[0118] In an embodiment of the present invention, the inflection points of the previously determined fluid flow change path of the three-dimensional model of the spatial structure of the oil well are identified and analyzed to convert the corresponding fluid flow change path of the three-dimensional model of the spatial structure of the oil well into a two-dimensional coordinate system, and at the same time, the inflection points of the flow path where the flow changes dramatically or has a turning change on the corresponding flow change path are identified and determined. These inflection points mark the flow turning points and changes of the fluid in the complex structure inside the oil well. The inflection points here refer to the change points of the fluid flow path, such as the places where the wellbore bends or turns, or the places where the flow velocity suddenly changes, etc. These inflection points can reflect the locations where the fluid flow direction or velocity changes significantly, so that the key turning points of the fluid flow path in the three-dimensional model of the oil well structure can be determined, and finally the inflection points of the fluid flow path in the three-dimensional model of the oil well structure are obtained.

[0119] Preferably, the spatial position coordinates of the inflection points of the fluid flow path of the three-dimensional model of the oil well structure are located to obtain the spatial position coordinates of the inflection points of the fluid flow of the oil well structure;

[0120] In an embodiment of the present invention, the inflection points of the fluid flow path of the previously determined three-dimensional model of the oil well structure are spatially located, which means that the position of each inflection point needs to be accurately mapped to the actual physical space of the oil well. A three-dimensional coordinate system is usually used to describe its position. These spatial position coordinates are crucial to subsequent fluid dynamics analysis and flow rate measurement because they determine the exact position of the fluid inside the oil well structure, and ultimately the spatial position coordinates of the inflection points of the fluid flow in the oil well structure are obtained.

[0121] Preferably, the fluid flow velocity measurement process is performed on the inflection points of the fluid flow path of the three-dimensional model of the oil well structure to obtain the fluid flow velocity at the inflection points of the flow path of each oil well structure;

[0122] In an embodiment of the present invention, the fluid flow velocity is measured and processed at the inflection point positions of the fluid flow path of the previously determined three-dimensional model of the oil well structure, where the fluid flow velocity refers to the movement speed of the fluid at each inflection point, which can be obtained through numerical simulation, laboratory experiments or field measurements, so as to obtain the specific flow velocity information of the fluid at each inflection point, and finally obtain the fluid flow velocity at the inflection point of the flow path of each oil well structure.

[0123] Preferably, based on the spatial position coordinates of the inflection point of the fluid flow inflection point of the oil well structure, the instantaneous velocity of the preceding and following time periods of the inflection point of the fluid flow path of the three-dimensional model of the oil well structure is statistically analyzed to obtain the instantaneous velocity of the flow in the preceding time period and the instantaneous velocity of the flow in the following time period at the inflection point of the flow path of each oil well structure;

[0124] In an embodiment of the present invention, by combining the previously determined corresponding inflection point at the spatial position coordinates of the inflection point of the fluid flow inflection point of the oil well structure, a statistical analysis of the instantaneous velocity of the previous and subsequent time periods is performed to compare and evaluate the changes in the fluid flow velocity in different time periods before and after the corresponding position. This step can identify whether there is a significant flow velocity change or a sudden change in flow velocity by analyzing the flow velocity data of the preceding and following time periods, which can help us understand the dynamic changes in the fluid movement inside the oil well, such as detecting whether there is an abnormal flow velocity or a periodic change in the flow velocity, and finally obtaining the instantaneous flow velocity of the preceding time period and the instantaneous flow velocity of the following time period at the inflection point of the flow path of each oil well structure.

[0125] Preferably, the degree of fluid velocity mutation at the turning point of the flow path of each oil well structure is quantitatively calculated based on the instantaneous velocity of the flow in the preceding time period and the instantaneous velocity of the flow in the succeeding time period at the turning point of the flow path of each oil well structure, so as to obtain the degree of fluid velocity mutation at the turning point of the flow path of each oil well structure; and the key nodes for flow monitoring of the turning points of the fluid flow path of the three-dimensional model of the oil well structure are screened and processed according to the degree of fluid velocity mutation at the turning point of the flow path of each oil well structure, so as to obtain the key nodes for flow change monitoring of the three-dimensional model of the oil well structure.

[0126] In an embodiment of the present invention, the degree of mutation of the fluid flow velocity at the inflection point of the flow path of each oil well structure obtained by previously quantitatively calculating the instantaneous flow velocity in the leading time period and the instantaneous flow velocity in the trailing time period at the inflection point of the flow path of each oil well structure is quantitatively calculated, wherein the degree of mutation of the flow velocity refers to the amplitude and frequency of the velocity change of the fluid in different time periods, which can be analyzed by mathematical and statistical methods. This quantitative calculation can help determine which inflection points have undergone significant changes in flow velocity, thereby identifying potential fluid movement anomalies or optimization points, and quantitatively calculating the strain rate differences in different loading stages by evaluating the changes in deformation rates at different inflection points under different stress levels, thereby obtaining the degree of mutation of the fluid flow velocity at the inflection point of the flow path of each oil well structure. At the same time, key nodes are screened by combining the degree of fluid velocity mutation at the inflection points of the flow path of each oil well structure obtained by quantitative calculation, so as to screen out the inflection points of the fluid flow path of the three-dimensional model of the oil well structure where the velocity mutation degree exceeds the preset threshold and the corresponding inflection points as the key nodes for flow monitoring. The key nodes refer to the inflection point positions under the conditions of high velocity mutation degree or abnormal conditions. These positions indicate important change points or potential problems in the movement of cement fluid inside the oil well, and finally the key nodes for flow change monitoring of the three-dimensional model of the oil well structure are obtained.

[0127] Further, step S2 includes the following steps:

[0128] Step S21: Draw a cement pressure strength curve based on the real-time pressure strength data of oil well cement to generate a real-time pressure strength change curve of oil well cement;

[0129] In an embodiment of the present invention, a pressure change curve is drawn for the real-time pressure strength data of oil well cement by using a visualization analysis tool. In actual operation, it is necessary to obtain real-time pressure strength from the oil well, which is usually achieved by sensors installed on oil pipes or downhole equipment. These sensors will continuously record the pressure changes of oil well cement, and then transmit the data to the data acquisition system. By processing and analyzing these data, a curve of the relationship between time and pressure strength can be drawn to show the real-time pressure strength change trend of oil well cement during operation. For example, assuming that in an oil well, the data obtained by the pressure sensor installed in the deep well part shows that within 24 hours, the pressure strength of oil well cement gradually increases from 1000 psi in the morning to 1500 psi at noon, and then drops again in the afternoon to 800 psi in the evening. After drawing such a curve, the pressure change of cement in one day can be clearly observed, and finally a real-time pressure strength change curve of oil well cement is generated.

[0130] Step S22: performing cement pressure gradient division on the real-time oil well cement pressure strength change curve to obtain the oil well cement pressure strength change gradient interval; performing pressure gradient constraint analysis on different oil well cement pressure strength change gradient intervals to generate different oil well cement pressure strength gradient constraint conditions;

[0131] In the embodiment of the present invention, the real-time pressure strength change curve of the oil well cement is divided into different cement pressure gradient intervals according to the change trend of the curve, so as to more accurately define different operating states and pressure ranges. This involves being able to divide the pressure strength curve into several gradient intervals according to different rates or amplitudes of pressure change, such as high pressure gradient, medium pressure gradient and low pressure gradient. For example, if in the aforementioned oil well, the pressure strength rises from 800 psi to 1500 psi in a short period of time, and only rises from 1000 psi to 1100 psi in another period of time, this indicates that there are two different pressure gradient intervals and they are divided out, so as to obtain the oil well cement pressure strength change gradient interval. At the same time, by performing pressure gradient constraint analysis on each different oil well cement pressure strength change gradient interval, the main purpose of this step is to determine and set corresponding constraint conditions according to the specific limit change range of the pressure strength change amplitude in the oil well cement pressure strength change gradient interval. These constraint conditions will be defined as the maximum and minimum pressure changes allowed in each pressure gradient interval, and ensure that the oil well cement operates in a safe and stable state, and finally generate different oil well cement pressure strength gradient constraint conditions.

[0132] Step S23: performing time-series synchronization processing on the real-time flow rate data of the oil well cement based on the time-series variation range of the real-time pressure strength data of the oil well cement to obtain the time-series synchronized flow rate data of the oil well cement;

[0133] In an embodiment of the present invention, the timing of the corresponding real-time flow data of the oil well cement is synchronized according to the timing change range of the real-time pressure intensity data of the oil well cement, so as to time-match and synchronize the pressure intensity and flow data to ensure that they correspond and are consistent in time. For example, assuming that in the same oil well, real-time flow data is obtained through a flow meter, and these data are recorded synchronously with the aforementioned pressure intensity data, it can be ensured that the corresponding pressure intensity and flow data are obtained at the same time point, and finally the oil well cement timing synchronized flow data is obtained.

[0134] Step S24: performing flow rate change statistics analysis on the oil well cement time series synchronous flow rate data based on different oil well cement pressure strength gradient constraints to obtain the flow rate change rate of the oil well cement under given pressure gradient conditions; performing flow performance index evaluation and analysis on the oil well cement real-time flow rate data according to the flow rate change rate of the oil well cement under given pressure gradient conditions to obtain the flow performance index parameters of the oil well cement;

[0135] In an embodiment of the present invention, by combining different oil well cement pressure strength gradient constraint conditions obtained by previous constraints, a mathematical statistical method is used to perform a statistical analysis of the flow change rate of the corresponding oil well cement time series synchronous flow data, so as to analyze the actual performance of the oil well cement flow under different pressure gradient conditions, and statistically analyze its change trend and law under different pressure constraints, so as to obtain the flow change rate of the oil well cement under given pressure gradient conditions. At the same time, by combining the flow change rate of the oil well cement under given pressure gradient conditions obtained by previous analysis, the corresponding oil well cement real-time flow data is statistically calculated for the flow performance performance, so as to quantitatively calculate the specific performance score of the oil well cement (for example, viscosity), for example, the calculation formula for the flow viscosity performance can be: ,in Score the specific performance of oil well cement (i.e., the flow viscosity of oil well cement), is the oil well cement flow adjustment factor, is the minimum pressure under the pressure intensity gradient constraint, is the maximum pressure under the pressure intensity gradient constraint, is the pressure integral variable parameter under the current oil well cement flow rate, is the flow rate change rate, is the oil well cement flow viscosity pressure influence index, and finally the oil well cement flow performance index parameters are obtained.

[0136] Step S25: Based on the real-time temperature data and the real-time flow data of the oil well cement, the real-time pressure strength data of the oil well cement is evaluated and analyzed for the compressive strength performance index, and the compressive strength performance index parameters of the oil well cement are obtained.

[0137] In an embodiment of the present invention, a comprehensive evaluation and analysis of the compressive strength performance of the corresponding real-time oil well cement pressure strength data is performed by combining the real-time temperature data of the oil well cement and the real-time flow data of the oil well cement previously collected in real time, so as to comprehensively consider the compressive performance of the cement under different temperature and flow conditions to evaluate and determine the specific parameters and performance indicators of its compressive performance. For example, assuming that during the pressure test, the compressive strength of the cement can be evaluated by monitoring the temperature changes and flow fluctuations of the cement, if the pressure strength of the cement is stable under high temperature and high flow conditions, and its pressure strength will decrease under low temperature or low flow conditions, based on these data analyses, the compressive performance parameters of the cement under different working conditions can be determined, and finally the compressive strength performance index parameters of the oil well cement can be obtained.

[0138] Further, step S25 includes the following steps:

[0139] Step S251: performing temperature impact correlation analysis on real-time pressure strength data of oil well cement based on real-time temperature data of oil well cement, and obtaining a correlation model of the impact of temperature-pressure strength changes of oil well cement;

[0140] In an embodiment of the present invention, the real-time temperature data of oil well cement obtained in real time by combining it with the real-time pressure strength data of oil well cement is analyzed for the impact correlation between temperature and pressure changes, so as to reveal how temperature changes affect the pressure strength performance of cement. For example, by installing a sensor on the oil pipe or the wall of the oil well, the pressure strength changes of cement at different temperatures can be recorded. After the data is collected, statistical methods or machine learning models can be used to analyze the relationship between temperature and pressure strength, and the specific impact pattern of temperature changes on cement pressure strength can be identified, and finally the oil well cement temperature-pressure strength change impact correlation pattern can be obtained.

[0141] Step S252: performing flow rate impact correlation analysis on the real-time pressure strength data of oil well cement based on the real-time flow rate data of oil well cement, and obtaining the oil well cement flow rate-pressure strength change impact correlation model;

[0142] In an embodiment of the present invention, the real-time flow data of oil well cement obtained in real time by combining it with the real-time pressure strength data of oil well cement is analyzed for the influence correlation between flow and pressure changes, so as to explore the specific influence pattern of flow change on cement pressure strength. For example, the flow data of cement can be obtained in real time by a sensor installed in the pipeline. Then, the pressure strength data collected previously is combined to analyze the changes in cement pressure strength under different flow conditions. By establishing a mathematical model or a data analysis method, the influence pattern of flow change on cement pressure strength is revealed, and finally the influence correlation pattern of oil well cement flow-pressure strength change is obtained.

[0143] Step S253: Based on the oil well cement temperature-pressure strength change impact correlation mode and the oil well cement flow-pressure strength change impact correlation mode, the real-time oil well cement pressure strength data is analyzed for pressure strength change fluctuation, so as to obtain the pressure strength change fluctuation range of the oil well cement under different temperature and flow conditions;

[0144] In an embodiment of the present invention, a fluctuation analysis of pressure strength changes is performed on the corresponding real-time pressure strength data of oil well cement by combining the oil well cement temperature-pressure strength change influence association pattern and the oil well cement flow-pressure strength change influence association pattern obtained in the previous analysis, including combining the influence association patterns obtained in steps S251 and S252 to comprehensively analyze the combined influence fluctuations of temperature and flow on cement pressure strength. For example, these patterns can be used to predict how the pressure strength of cement fluctuates under different temperature and flow conditions, and then evaluate its stability and safety in actual operation. Through real-time monitoring and analysis, the pressure strength change range of cement under different working conditions can be determined, and finally the pressure strength change fluctuation range of oil well cement under different temperature and flow conditions can be obtained.

[0145] Step S254: performing compressive strength performance index evaluation and analysis on the real-time pressure strength data of oil well cement according to the pressure strength variation fluctuation range of oil well cement under different temperature and flow conditions, and obtaining the compressive strength performance index parameters of oil well cement.

[0146] In an embodiment of the present invention, by combining the pressure strength change fluctuation range of oil well cement under different temperature and flow conditions obtained by previous analysis, the corresponding real-time pressure strength data of oil well cement is evaluated and analyzed for compressive strength performance, so as to quantitatively analyze the compressive strength performance of oil well cement under various working conditions, and determine the specific parameters and performance indicators of its compressive performance, and finally obtain the compressive strength performance index parameters of oil well cement.

[0147] Further, step S3 includes the following steps:

[0148] Step S31: starting the acoustic wave transmitter to transmit acoustic waves to the oil well cement in the oil well cement slurry injection process to generate an oil well cement acoustic wave penetration transmission signal;

[0149] In an embodiment of the present invention, the acoustic wave transmitter previously deployed is activated to transmit the acoustic wave signal to the oil well cement in the oil well cement slurry injection process. In actual operation, the operator will install an acoustic wave transmitter, such as an ultrasonic transmitter, in the oil well, and apply sound waves to the cement slurry in the oil well by controlling the frequency and intensity of the transmitter, thereby finally generating an oil well cement acoustic wave penetration transmission signal.

[0150] Step S32: Performing initial monitoring of the emission point signal of the oil well cement acoustic wave penetration emission signal to obtain the initial intensity of the oil well cement acoustic propagation emission point signal;

[0151] In an embodiment of the present invention, an acoustic sensor is used to record the previously emitted oil well cement acoustic wave penetration emission signal at different depths to monitor and record the initial emission signal intensity of the acoustic wave, thereby preliminarily evaluating the acoustic properties of the cement and the uniformity of the material, and ultimately obtaining the initial intensity of the oil well cement acoustic propagation emission point signal.

[0152] Step S33: Start the acoustic wave receiver to record the acoustic wave propagation time of the oil well cement acoustic wave penetration transmission signal and monitor the receiving point signal to obtain the acoustic propagation time between the oil well cement and the signal strength of the oil well cement acoustic propagation receiving point;

[0153] In an embodiment of the present invention, an acoustic wave receiver is started to record the acoustic wave propagation time of the previously emitted oil well cement acoustic wave penetration transmission signal and monitor the signal strength at the receiving point in real time. This step involves using an acoustic wave receiver, such as an ultrasonic receiver, to record the propagation time of the sound wave in the oil well cement and the signal strength at the receiving point of the acoustic wave receiver. For example, multiple receivers are set at different positions to monitor the propagation of sound waves, and the propagation characteristics of the sound waves in the oil well cement are analyzed by time recording and changes in signal strength, and finally the acoustic propagation time between the oil well cement and the signal strength at the receiving point of the oil well cement acoustic propagation are obtained.

[0154] Step S34: performing signal propagation attenuation evaluation and analysis on the initial signal strength of the oil well cement acoustic propagation emission point and the signal strength of the oil well cement acoustic propagation receiving point to obtain the attenuation degree of the acoustic propagation signal strength change between the oil well cement;

[0155] In an embodiment of the present invention, a signal strength difference calculation method is used to quantitatively calculate the propagation attenuation of the initial signal strength of the oil well cement acoustic propagation emission point and the signal strength of the oil well cement acoustic propagation receiving point obtained by previous analysis. This process includes analyzing the signal attenuation of the sound wave from the emission point to the receiving point. The calculation is usually evaluated by comparing the changes in sound wave intensity at different depths or under different conditions. For example, the attenuation rate of the sound wave under different cement densities or temperature conditions is calculated through experimental data and mathematical models to reveal the propagation characteristics of the acoustic wave under different environments, thereby quantitatively calculating the intensity attenuation of the acoustic wave during the propagation process in the oil well cement, and finally obtaining the attenuation degree of the acoustic propagation signal intensity change between the oil well cement.

[0156] Step S35: Based on the acoustic propagation time between oil well cements and the attenuation degree of the acoustic propagation signal intensity change between oil well cements, the oil well cement acoustic wave penetration emission signal is evaluated and analyzed to obtain the oil well cement anti-permeability performance index parameters.

[0157] In the embodiment of the present invention, the propagation speed of the corresponding oil well cement acoustic wave penetration emission signal is statistically calculated by combining the acoustic propagation time between the oil well cements obtained by previous measurement records, so as to calculate the propagation speed of the acoustic wave in the oil well cement, and the anti-permeability performance of the corresponding oil well cement acoustic wave penetration emission signal is evaluated and analyzed by combining the acoustic signal propagation speed obtained by analysis and the attenuation degree of the acoustic propagation signal intensity change, so as to input the signal propagation speed and signal intensity attenuation data into the mathematical regression analysis model, and the specific influence degree of the signal propagation speed between the oil well cement on the anti-permeability performance is obtained by quantitative calculation through the corresponding least squares method. The specific degree of influence of the signal propagation speed anti-permeability performance influencing factor (i.e., the signal propagation speed anti-permeability performance influencing factor) and the signal strength attenuation on the anti-permeability performance (i.e., the signal strength attenuation anti-permeability performance influencing factor), and the corresponding oil well cement acoustic wave penetration emission signal is quantitatively calculated for the anti-permeability performance index by combining the signal propagation speed anti-permeability performance influencing factor and the signal strength attenuation anti-permeability performance influencing factor obtained by the previous evaluation and analysis, so as to evaluate and analyze the influence of the propagation speed and strength attenuation of the acoustic signal on the cement performance, and calculate the anti-permeability performance score or grade of the oil well cement sample. For example, the specific formula for the quantitative calculation can be: , where is the oil well cement anti-permeability performance index parameter (that is, it can be the anti-permeability performance score), is the influencing factor of the anti-permeability performance of the signal propagation speed between oil well cements, is the propagation speed of acoustic signals between oil well cements, Adjust the parameter for the propagation speed exponentially, is the influencing factor of signal intensity attenuation and anti-permeability performance between oil well cements, It is the attenuation degree of the acoustic propagation signal intensity change between oil well cements, and finally the oil well cement anti-permeability performance index parameters are obtained.

[0158] Further, step S35 includes the following steps:

[0159] Step S351: Based on the long acoustic propagation time between oil well cements, a propagation velocity statistical analysis is performed on the oil well cement acoustic wave penetration emission signal to obtain the acoustic signal propagation velocity between oil well cements;

[0160] In an embodiment of the present invention, a statistical calculation of the propagation speed of the corresponding oil well cement acoustic wave penetration emission signal is performed by combining the acoustic propagation time between oil well cement obtained by previous measurement records to calculate the propagation speed of the acoustic wave in the oil well cement. For example, an acoustic sensor is placed at a position with a known distance, and an acoustic wave is sent and the time it takes to reach the sensor is recorded. After repeating the experiment many times, the average propagation speed can be obtained, thereby determining the propagation speed of the acoustic wave in the cement, and finally obtaining the propagation speed of the acoustic signal between oil well cement.

[0161] Step S352: analyzing the impact of the acoustic signal propagation speed between oil well cements and the attenuation degree of the acoustic signal intensity between oil well cements on the anti-permeability performance of the oil well cement acoustic wave penetration emission signal, and obtaining the anti-permeability performance impact factor of the signal propagation speed between oil well cements and the anti-permeability performance impact factor of the signal intensity attenuation between oil well cements;

[0162] In an embodiment of the present invention, the anti-permeability performance of the corresponding oil well cement acoustic wave penetration emission signal is evaluated and analyzed by combining the acoustic signal propagation speed between oil well cements and the attenuation degree of the acoustic propagation signal intensity change between oil well cements obtained by previous analysis, so as to analyze the actual influence of the corresponding propagation speed change and the signal intensity attenuation on the anti-permeability performance of the cement by using a mathematical regression analysis method. For example, by inputting the signal propagation speed and signal intensity attenuation data into a mathematical regression analysis model, the specific influencing factors of the signal propagation speed between oil well cements on the anti-permeability performance and the specific influencing factors of the signal intensity attenuation on the anti-permeability performance are obtained by quantitative calculation through the corresponding least squares method. These factors will reflect the specific degree of influence of the acoustic signal on the anti-permeability performance during the propagation between cements, and finally the influencing factors of the anti-permeability performance of the signal propagation speed between oil well cements and the influencing factors of the anti-permeability performance of the signal intensity attenuation between oil well cements are obtained.

[0163] Step S353: evaluating and analyzing the anti-permeability performance index of the oil well cement acoustic wave penetration emission signal according to the anti-permeability performance influencing factor of the signal propagation speed between oil well cement and the anti-permeability performance influencing factor of the signal intensity attenuation between oil well cement, and obtaining the oil well cement anti-permeability performance index parameter.

[0164] In the embodiment of the present invention, the anti-permeability performance index of the corresponding oil well cement acoustic wave penetration emission signal is quantitatively calculated by combining the anti-permeability performance influencing factor of the signal propagation speed between oil well cements and the anti-permeability performance influencing factor of the signal intensity attenuation between oil well cements obtained by previous evaluation and analysis, so as to evaluate and analyze the influence of the propagation speed and intensity attenuation of the acoustic signal on the cement performance, and calculate the anti-permeability performance score or grade of the oil well cement sample. For example, the specific formula for the quantitative calculation can be: , where is the oil well cement anti-permeability performance index parameter (that is, it can be the anti-permeability performance score), is the influencing factor of the anti-permeability performance of the signal propagation speed between oil well cements, is the propagation speed of acoustic signals between oil well cements, Adjust the parameter for the propagation speed exponentially, is the influencing factor of signal intensity attenuation and anti-permeability performance between oil well cements, It is the attenuation degree of the acoustic propagation signal intensity change between oil well cements, and finally the oil well cement anti-permeability performance index parameters are obtained.

[0165] Further, step S4 includes the following steps:

[0166] Step S41: Based on the oil well cement flow performance index parameter, the oil well cement compressive strength performance index parameter and the oil well cement anti-permeability performance index parameter, the oil well cement performance impact assessment analysis is performed on the oil well cement in the oil well cement slurry injection process to obtain the performance impact degree of the oil well cement under different performance index parameter conditions;

[0167] In an embodiment of the present invention, the oil well cement flow performance index parameters (such as viscosity), oil well cement compressive strength performance index parameters (such as compressive strength) and oil well cement anti-permeability performance index parameters (such as anti-permeability performance score) obtained by combining the previously analyzed parameters are input into the data analysis software, and the oil well cement in the corresponding oil well cement slurry injection process is evaluated and analyzed using a multivariate regression analysis method, so as to evaluate and analyze the regression coefficients corresponding to different performance index parameter conditions (viscosity, compressive strength and permeability coefficient under different numerical conditions) by using the multivariate regression method in the data analysis software, so as to indicate the actual contribution degree of each group of performance index parameter numerical conditions to the overall cement performance. For example, the multivariate regression calculation formula shown below can be used: ,in is the oil well cement strength, is the multivariate regression intercept, is the viscosity of oil well cement, is the viscosity regression coefficient, is the compressive strength of oil well cement, is the regression coefficient of compressive strength, is the permeability coefficient of oil well cement, is the regression coefficient of permeability coefficient, and the least square method is used to calculate the corresponding regression coefficient according to the multivariate regression change mathematical model constructed previously to determine the corresponding performance impact degree, and finally the performance impact degree of oil well cement under different performance index parameter conditions is obtained.

[0168] Step S42: assigning performance influence weights to the flow performance index parameter, the compressive strength performance index parameter and the anti-permeability performance index parameter of the oil well cement according to the performance influence degree of the oil well cement under different performance index parameter conditions, and obtaining the performance influence sub-weights of the oil well cement under different performance index parameter conditions;

[0169] In an embodiment of the present invention, the importance and contribution of the corresponding oil well cement flowability performance index parameters, oil well cement compressive strength performance index parameters and oil well cement anti-permeability performance index parameters in the overall performance are determined by using the performance influence degree of oil well cement under different performance index parameter conditions obtained by previous evaluation and analysis, so as to determine the appropriate weight for each indicator according to the actual influence degree of different performance indicators, and quantify the importance of different performance indicators in cement performance evaluation, and finally obtain the performance influence sub-weights of oil well cement under different performance index parameter conditions.

[0170] Step S43: quantifying the performance of cement based on the performance influencing sub-weights of the oil well cement under different performance index parameter conditions, the oil well cement flow performance index parameter, the oil well cement compressive strength performance index parameter and the oil well cement anti-permeability performance index parameter, and obtaining a comprehensive performance score of the oil well cement slurry performance influencing system;

[0171] In an embodiment of the present invention, the performance influencing sub-weights of oil well cement under different performance index parameter conditions obtained by combining the previously allocated performance influencing sub-weights with the corresponding oil well cement flowability performance index parameters, oil well cement compressive strength performance index parameters and oil well cement anti-permeability performance index parameters, and the cumulative sum is calculated to combine the specific values ​​of each performance index with its corresponding weight to calculate a comprehensive performance score. These scores reflect the comprehensive performance of oil well cement under different performance parameter conditions, and finally obtain a comprehensive performance score of the oil well cement slurry performance influencing system.

[0172] Step S44: Perform performance test feedback analysis on the oil well cement in the oil well cement slurry injection process according to the comprehensive performance score of the oil well cement slurry performance influence system, generate a comprehensive test report of the oil well cement slurry performance influence system, and perform corresponding oil well cement slurry performance optimization operations.

[0173] In an embodiment of the present invention, by combining the comprehensive performance score of the oil well cement slurry performance influence system obtained by previous quantitative calculation, feedback analysis is performed on the actual performance of the corresponding oil well cement in the oil well cement slurry injection process to compare the performance of the oil well cement slurry in actual application with the expected comprehensive score, and identify potential performance gaps or optimization spaces therefrom, thereby generating a comprehensive detection report of the oil well cement slurry performance influence system, including performance evaluation results, problem point analysis, and optimization suggestions, etc., and finally generating a comprehensive detection report of the oil well cement slurry performance influence system, which can guide the adjustment and improvement of the current cement injection process, thereby helping to improve the performance stability and efficiency of the oil well cement slurry in actual production.

[0174] Furthermore, the present invention also provides a performance detection system for oil well cement, which is used to perform the performance detection method for oil well cement as described above. The performance detection system for oil well cement comprises:

[0175] The oil well cement process parameter real-time acquisition module is used to deploy pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors in the oil well cement slurry injection process, and to collect process parameters of the oil well cement in the oil well cement slurry injection process in real time through the pressure sensors, temperature sensors and flow sensors, so as to obtain real-time pressure strength data, real-time temperature data and real-time flow data of the oil well cement;

[0176] The cement flow and compressive performance index evaluation module is used to evaluate and analyze the flow performance index of the oil well cement real-time flow data based on the oil well cement real-time pressure strength data, and obtain the oil well cement flow performance index parameters; based on the oil well cement real-time temperature data and the oil well cement real-time flow data, the oil well cement real-time pressure strength data is evaluated and analyzed to obtain the oil well cement compressive strength performance index parameters;

[0177] The oil well cement acoustic anti-permeability performance index evaluation module is used to start the acoustic wave transmitter to transmit the acoustic wave penetration to the oil well cement in the oil well cement slurry injection process to generate the oil well cement acoustic wave penetration transmission signal; based on the acoustic wave receiver, the oil well cement acoustic wave penetration transmission signal is evaluated and analyzed for the anti-permeability performance index, so as to obtain the oil well cement anti-permeability performance index parameters;

[0178] The oil well cement performance comprehensive detection module is used to conduct comprehensive cement performance detection on the oil well cement in the oil well cement slurry injection process based on the oil well cement flow performance index parameters, oil well cement compressive strength performance index parameters and oil well cement anti-permeability performance index parameters, and generate a comprehensive detection report on the oil well cement slurry performance influencing system to perform corresponding oil well cement slurry performance optimization operations.

[0179] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0180] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for testing the performance of oil well cement, characterized in that: The following steps are involved: Step S1: deploying a pressure sensor, an acoustic wave transmitter, an acoustic wave receiver, a temperature sensor and a flow sensor during the oil well cement slurry injection process, and collecting process parameters of the oil well cement in the oil well cement slurry injection process in real time through the pressure sensor, the temperature sensor and the flow sensor, so as to obtain real-time pressure strength data, real-time temperature data and real-time flow data of the oil well cement; Step S2: Based on the real-time pressure strength data of the oil well cement, flow performance index evaluation and analysis is performed on the real-time flow data of the oil well cement to obtain the flow performance index parameters of the oil well cement; Based on the real-time temperature data and the real-time flow data of the oil well cement, the real-time pressure strength data of the oil well cement is evaluated and analyzed for the compressive strength performance index, so as to obtain the compressive strength performance index parameter of the oil well cement; wherein step S2 includes the following steps: Step S21: Draw a cement pressure strength curve based on the real-time pressure strength data of oil well cement to generate a real-time pressure strength change curve of oil well cement; Step S22: performing cement pressure gradient division on the real-time oil well cement pressure strength change curve to obtain the oil well cement pressure strength change gradient interval; performing pressure gradient constraint analysis on different oil well cement pressure strength change gradient intervals to generate different oil well cement pressure strength gradient constraint conditions; Step S23: performing time-series synchronization processing on the real-time flow rate data of the oil well cement based on the time-series variation range of the real-time pressure strength data of the oil well cement to obtain the time-series synchronized flow rate data of the oil well cement; Step S24: performing flow rate change statistics analysis on the oil well cement time series synchronous flow rate data based on different oil well cement pressure strength gradient constraints to obtain the flow rate change rate of the oil well cement under given pressure gradient conditions; performing flow performance index evaluation and analysis on the oil well cement real-time flow rate data according to the flow rate change rate of the oil well cement under given pressure gradient conditions to obtain the flow performance index parameters of the oil well cement; Step S25: Based on the real-time temperature data and the real-time flow data of the oil well cement, the real-time pressure strength data of the oil well cement is evaluated and analyzed for the compressive strength performance index, and the oil well cement compressive strength performance index parameter is obtained; wherein, step S25 includes the following steps: Step S251: performing temperature impact correlation analysis on real-time pressure strength data of oil well cement based on real-time temperature data of oil well cement, and obtaining a correlation model of the impact of temperature-pressure strength changes of oil well cement; Step S252: performing flow rate impact correlation analysis on the real-time pressure strength data of oil well cement based on the real-time flow rate data of oil well cement, and obtaining the oil well cement flow rate-pressure strength change impact correlation model; Step S253: Based on the oil well cement temperature-pressure strength change impact correlation mode and the oil well cement flow-pressure strength change impact correlation mode, the real-time oil well cement pressure strength data is analyzed for pressure strength change fluctuation, so as to obtain the pressure strength change fluctuation range of the oil well cement under different temperature and flow conditions; Step S254: performing compressive strength performance index evaluation and analysis on the real-time pressure strength data of the oil well cement according to the pressure strength variation fluctuation range of the oil well cement under different temperature and flow conditions, and obtaining the compressive strength performance index parameters of the oil well cement; Step S3: starting the acoustic wave transmitter to transmit acoustic waves to the oil well cement in the oil well cement slurry injection process to generate an oil well cement acoustic wave penetration transmission signal; performing an anti-permeability performance index evaluation and analysis on the oil well cement acoustic wave penetration transmission signal based on the acoustic wave receiver to obtain an oil well cement anti-permeability performance index parameter; Step S4: Based on the oil well cement flow performance index parameter, the oil well cement compressive strength performance index parameter and the oil well cement anti-permeability performance index parameter, the oil well cement in the oil well cement slurry injection process is subjected to a comprehensive cement performance test, and a comprehensive test report on the oil well cement slurry performance influencing system is generated to perform the corresponding oil well cement slurry performance optimization operation; wherein, step S4 includes the following steps: Step S41: Based on the oil well cement flow performance index parameter, the oil well cement compressive strength performance index parameter and the oil well cement anti-permeability performance index parameter, the oil well cement performance impact assessment analysis is performed on the oil well cement in the oil well cement slurry injection process to obtain the performance impact degree of the oil well cement under different performance index parameter conditions; Step S42: assigning performance influence weights to the flow performance index parameter, the compressive strength performance index parameter and the anti-permeability performance index parameter of the oil well cement according to the performance influence degree of the oil well cement under different performance index parameter conditions, and obtaining the performance influence sub-weights of the oil well cement under different performance index parameter conditions; Step S43: quantifying the performance of cement based on the performance influencing sub-weights of the oil well cement under different performance index parameter conditions, the oil well cement flow performance index parameter, the oil well cement compressive strength performance index parameter and the oil well cement anti-permeability performance index parameter, and obtaining a comprehensive performance score of the oil well cement slurry performance influencing system; Step S44: Perform performance test feedback analysis on the oil well cement in the oil well cement slurry injection process according to the comprehensive performance score of the oil well cement slurry performance influence system, generate a comprehensive test report of the oil well cement slurry performance influence system, and perform corresponding oil well cement slurry performance optimization operations.

2. The method for testing the performance of oil well cement according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: performing oil well structure topology analysis on the oil well cement slurry injection process to obtain a complex structure distribution framework of the oil well cement slurry injection process; Step S12: performing a sensor coverage deployment strategy analysis on the oil well cement slurry injection process based on the complex structure distribution framework of the oil well cement slurry injection process to generate an optimal deployment strategy solution for oil well sensors; deploying a pressure sensor, an acoustic wave transmitter, an acoustic wave receiver, a temperature sensor, and a flow sensor in the oil well cement slurry injection process based on the optimal deployment strategy solution for oil well sensors; Step S13: using a pressure sensor to collect the pressure strength of the oil well cement in the oil well cement slurry injection process in real time to obtain real-time pressure strength data of the oil well cement; Step S14: using a temperature sensor to collect the temperature of the oil well cement in the oil well cement slurry injection process in real time to obtain real-time temperature data of the oil well cement; Step S15: The flow rate of the oil well cement in the oil well cement slurry injection process is collected in real time by means of a flow sensor to obtain real-time flow rate data of the oil well cement.

3. The method for testing the performance of oil well cement according to claim 2, characterized in that: Step S12 includes the following steps: Step S121: performing three-dimensional modeling processing on the complex structure distribution framework of the oil well cement slurry injection process to obtain a three-dimensional model of the spatial structure of the oil well cement slurry injection process; Step S122: performing fluid dynamics simulation processing on the three-dimensional model of the spatial structure of the oil well cement slurry injection process to obtain a simulation process of fluid flow changes in the three-dimensional model of the spatial structure of the oil well; Step S123: Designing a flow change grid for the fluid flow change simulation process of the three-dimensional model of the oil well space structure, and obtaining a fluid flow change process path grid for the three-dimensional model of the oil well; performing flow path identification and analysis on the fluid flow change simulation process of the three-dimensional model of the oil well space structure based on the fluid flow change process path grid for the three-dimensional model of the oil well space structure, and obtaining a fluid flow change path for the three-dimensional model of the oil well space structure; Step S124: determining flow monitoring nodes for the fluid flow change path of the three-dimensional model of the oil well spatial structure, and obtaining key nodes for monitoring flow changes in the three-dimensional model of the oil well structure; Step S125: Based on the key nodes of flow change monitoring of the three-dimensional model of the oil well structure, the sensor coverage deployment strategy of the oil well cement slurry injection process is analyzed to generate the optimal deployment strategy plan for the oil well sensors; based on the optimal deployment strategy plan for the oil well sensors, pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors are deployed during the oil well cement slurry injection process.

4. The method for testing the performance of oil well cement according to claim 3, characterized in that: Step S124 includes the following steps: Perform flow path inflection point statistical analysis on the fluid flow change path of the three-dimensional model of the oil well spatial structure to obtain the fluid flow path inflection point of the three-dimensional model of the oil well structure; Positioning the spatial coordinates of the inflection point of the fluid flow path of the three-dimensional model of the oil well structure to obtain the spatial coordinates of the inflection point of the fluid flow of the oil well structure; Performing fluid flow velocity measurement processing on the inflection points of the fluid flow path of the three-dimensional model of the oil well structure to obtain the fluid flow velocity at the inflection points of the flow path of each oil well structure; Based on the spatial position coordinates of the inflection point of the fluid flow inflection point of the oil well structure, the instantaneous velocity of the flow in the preceding and following periods of the inflection point of the fluid flow path of the three-dimensional model of the oil well structure is statistically analyzed to obtain the instantaneous velocity of the flow in the preceding period and the instantaneous velocity of the flow in the following period at the inflection point of the flow path of each oil well structure; Based on the instantaneous flow velocity of the preceding time period and the instantaneous flow velocity of the following time period at the inflection point of the flow path of each oil well structure, the degree of velocity mutation of the fluid flow velocity at the inflection point of the flow path of each oil well structure is quantitatively calculated to obtain the degree of fluid velocity mutation at the inflection point of the flow path of each oil well structure; according to the degree of fluid velocity mutation at the inflection point of the flow path of each oil well structure, the inflection point of the fluid flow path of the three-dimensional model of the oil well structure is screened and processed for flow monitoring key nodes to obtain the key nodes for flow change monitoring of the three-dimensional model of the oil well structure.

5. The method for testing the performance of oil well cement according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: starting the acoustic wave transmitter to transmit acoustic waves to the oil well cement in the oil well cement slurry injection process to generate an oil well cement acoustic wave penetration transmission signal; Step S32: Performing initial monitoring of the emission point signal of the oil well cement acoustic wave penetration emission signal to obtain the initial intensity of the oil well cement acoustic propagation emission point signal; Step S33: Start the acoustic wave receiver to record the acoustic wave propagation time of the oil well cement acoustic wave penetration transmission signal and monitor the receiving point signal to obtain the acoustic propagation time between the oil well cement and the signal strength of the oil well cement acoustic propagation receiving point; Step S34: performing signal propagation attenuation evaluation and analysis on the initial signal strength of the oil well cement acoustic propagation emission point and the signal strength of the oil well cement acoustic propagation receiving point to obtain the attenuation degree of the acoustic propagation signal strength change between the oil well cement; Step S35: Based on the acoustic propagation time between oil well cements and the attenuation degree of the acoustic propagation signal intensity change between oil well cements, the oil well cement acoustic wave penetration emission signal is evaluated and analyzed to obtain the oil well cement anti-permeability performance index parameters.

6. The method for testing the performance of oil well cement according to claim 5, characterized in that: Step S35 includes the following steps: Step S351: Based on the long acoustic propagation time between oil well cements, a propagation velocity statistical analysis is performed on the oil well cement acoustic wave penetration emission signal to obtain the acoustic signal propagation velocity between oil well cements; Step S352: analyzing the impact of the acoustic signal propagation speed between oil well cements and the attenuation degree of the acoustic signal intensity between oil well cements on the anti-permeability performance of the oil well cement acoustic wave penetration emission signal, and obtaining the anti-permeability performance impact factor of the signal propagation speed between oil well cements and the anti-permeability performance impact factor of the signal intensity attenuation between oil well cements; Step S353: evaluating and analyzing the anti-permeability performance index of the oil well cement acoustic wave penetration emission signal according to the anti-permeability performance influencing factor of the signal propagation speed between oil well cement and the anti-permeability performance influencing factor of the signal intensity attenuation between oil well cement, and obtaining the oil well cement anti-permeability performance index parameter.

7. A performance testing system for oil well cement, characterized in that: Used to perform the performance testing method of oil well cement as claimed in claim 1, the performance testing system of oil well cement comprises: The oil well cement process parameter real-time acquisition module is used to deploy pressure sensors, acoustic wave transmitters, acoustic wave receivers, temperature sensors and flow sensors in the oil well cement slurry injection process, and to collect process parameters of the oil well cement in the oil well cement slurry injection process in real time through the pressure sensors, temperature sensors and flow sensors, so as to obtain real-time pressure strength data, real-time temperature data and real-time flow data of the oil well cement; The cement flow and compression performance index evaluation module is used to draw the cement pressure strength curve for the real-time pressure strength data of oil well cement to generate the real-time pressure strength change curve of oil well cement; divide the real-time pressure strength change curve of oil well cement by cement pressure gradient to obtain the oil well cement pressure strength change gradient interval; perform pressure gradient constraint analysis on different oil well cement pressure strength change gradient intervals to generate different oil well cement pressure strength gradient constraint conditions; perform time-series synchronization processing on the real-time flow data of oil well cement based on the time-series change range of the real-time pressure strength data of oil well cement to obtain the time-series synchronized flow data of oil well cement; perform flow flow change statistical analysis on the time-series synchronized flow data of oil well cement based on different oil well cement pressure strength gradient constraint conditions to obtain the flow flow change rate of oil well cement under given pressure gradient conditions; and perform flow analysis on the real-time flow data of oil well cement according to the flow flow change rate of oil well cement under given pressure gradient conditions. Based on the flow performance index evaluation and analysis, the flow performance index parameters of oil well cement are obtained; based on the real-time temperature data of oil well cement, the temperature influence correlation analysis is performed on the real-time pressure strength data of oil well cement to obtain the oil well cement temperature-pressure strength change influence correlation mode; based on the real-time flow data of oil well cement, the flow influence correlation analysis is performed on the real-time pressure strength data of oil well cement to obtain the oil well cement flow-pressure strength change influence correlation mode; based on the oil well cement temperature-pressure strength change influence correlation mode and the oil well cement flow-pressure strength change influence correlation mode, the real-time pressure strength data of oil well cement is subjected to pressure strength change fluctuation analysis to obtain the pressure strength change fluctuation range of oil well cement under different temperature and flow conditions; based on the pressure strength change fluctuation range of oil well cement under different temperature and flow conditions, the real-time pressure strength data of oil well cement is subjected to compressive strength performance index evaluation and analysis to obtain the oil well cement compressive strength performance index parameters; The oil well cement acoustic anti-permeability performance index evaluation module is used to start the acoustic wave transmitter to transmit the acoustic wave penetration to the oil well cement in the oil well cement slurry injection process to generate the oil well cement acoustic wave penetration transmission signal; based on the acoustic wave receiver, the oil well cement acoustic wave penetration transmission signal is evaluated and analyzed for the anti-permeability performance index, so as to obtain the oil well cement anti-permeability performance index parameters; The oil well cement performance comprehensive detection module is used to evaluate and analyze the cement performance impact of oil well cement in the oil well cement slurry injection process based on the oil well cement flow performance index parameter, oil well cement compressive strength performance index parameter and oil well cement anti-permeability performance index parameter, and obtain the performance impact degree of oil well cement under different performance index parameter conditions; according to the performance impact degree of oil well cement under different performance index parameter conditions, the performance impact weights are allocated to the oil well cement flow performance index parameter, oil well cement compressive strength performance index parameter and oil well cement anti-permeability performance index parameter, and the performance impact sub-weights of oil well cement under different performance index parameter conditions are obtained; based on the performance impact sub-weights of oil well cement under different performance index parameter conditions, the cement performance is quantitatively calculated for the oil well cement flow performance index parameter, oil well cement compressive strength performance index parameter and oil well cement anti-permeability performance index parameter, and the comprehensive performance score of the oil well cement slurry performance impact system is obtained; according to the comprehensive performance score of the oil well cement slurry performance impact system, the performance detection feedback analysis of the oil well cement in the oil well cement slurry injection process is performed, and a comprehensive detection report of the oil well cement slurry performance impact system is generated to perform corresponding oil well cement slurry performance optimization operations.

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