Remote real-time monitoring system and method for drilling site

Abstract

The invention discloses a drilling site remote real-time monitoring system and method, and the system comprises a data collection module which is used for collecting initial monitoring data of a drilling site in real time, and an analysis processing module which is used for carrying out the integrated analysis and data preprocessing of the initial monitoring data, and obtaining target monitoring data; and the terminal monitoring module is used for acquiring the target monitoring data in the cloud server module so as to monitor the engineering condition of the drilling field and timely respond to the abnormal alarm of the drilling field through the monitoring result. The system can manage the field, automatically collect, store and process mass data generated in the drilling engineering, remotely check the drilling field, and provide powerful guarantee for safe and efficient operation of the drilling engineering.

Description

Technical Field

[0001] The invention belongs to the technical field of data monitoring, and in particular to a remote real-time monitoring system and method for a drilling site. Background Art

[0002] As drilling equipment and technology are developing towards intelligence, digitization and informatization, intelligent monitoring systems at home and abroad are constantly developing. At present, there are intelligent systems for static and real-time drilling data analysis abroad that are used to transmit drilling data between development systems and process static and real-time drilling data updates from servers; there are also remote and real-time calculations of drilling hydraulic parameters and drill friction and torque with the support of data remote transmission software; compared with some foreign drilling intelligent systems, there are geological drilling process status detection APPs in China for scientific drilling engineering sites, but remote monitoring on wireless terminals has not been effectively promoted.

[0003] In the field of drilling engineering, it is of great significance to realize real-time collection of drilling data, remote monitoring of drilling conditions, communication management, and early warning of abnormal situations such as drill sticking, well collapse, and well leakage during drilling through wireless transmission networks. However, the above-mentioned existing technologies cannot complete the above tasks, which has become a technical problem that urgently needs to be solved. Summary of the invention

[0004] The purpose of the present invention is to provide a remote real-time monitoring system and method for a drilling site to address the deficiencies in the prior art, aiming to achieve comprehensive digital management of engineering inspection work through an intelligent engineering inspection system, thereby improving inspection efficiency and accuracy and reducing labor costs.

[0005] An embodiment of the present application provides a remote real-time monitoring system for a drilling site, the system comprising: The data acquisition module, analysis and processing module and terminal monitoring module are connected by communication; wherein, The data acquisition module is used to collect the initial monitoring data of the drilling site in real time, and the initial monitoring data includes in-hole data and drilling fluid performance parameters; the in-hole data includes drilling pressure, rotation speed, torque and depth; the drilling fluid performance parameters include drilling fluid density, drilling fluid viscosity and sand content; wherein, the in-hole data is obtained by using the data acquisition optical sensor array embedded in the drilling drill pipe, and grating encoding and optical signal demodulation equipment; the drilling fluid performance parameters are determined by using the multi-parameter detection unit in the drilling fluid circulation system; wherein, the multi-parameter detection unit includes a capacitive sensor, an ultrasonic sensor and an electrode array, and the capacitive sensor determines the drilling fluid density by measuring the change of the dielectric constant of the drilling fluid; the ultrasonic sensor determines the drilling fluid viscosity by emitting ultrasonic waves to the drilling fluid, and based on the attenuation and phase change of the reflected wave; the electrode array uses the electrochemical principle to analyze the ion concentration in the drilling fluid to determine the sand content parameter; Among them, multiple data acquisition optical sensors are installed at the drilling rod at preset intervals. By obtaining the phase and intensity information received by the optical sensors and using the optical signal demodulation equipment, the drilling pressure, speed and torque data in the hole data are determined; the fiber grating encoding method is used to locate the depth of the drill rod according to the wavelength difference of the grating reflected light at different positions, and realize real-time depth data feedback; Among them, The data acquisition optical sensors are installed on the drilling rod at a preset interval. A light sensor at a time The received optical signal strength is , the phase is , through the built-in mapping relationship of the optical signal demodulation device , and use the following method to obtain the drilling pressure , speed and torque : in, It is a nonlinear function used to convert the optical signal characteristics collected by the sensor into corresponding mechanical and motion parameters; Among them, the fiber Bragg grating encoding method is used to determine the drill pipe depth calibration function ; Based on the drill pipe depth calibration function , and based on the wavelength difference of the reflected light from the grating at different positions , calculate the depth of the drill pipe by a preset method; wherein the preset method includes calculating the depth of the drill pipe using the following formula : in, Indicates The wavelength of the light reflected from the grating at each position, Indicates the pre-determined depth reference value for each grating. Indicates The depth increment corresponding to the grating satisfies ,in, Indicates the preset calibration scale factor, Indicates wavelength difference; The analysis and processing module is used to perform integrated analysis and data preprocessing on the initial monitoring data to obtain target monitoring data; The terminal monitoring module is used to receive target monitoring data, thereby monitoring the engineering conditions of the drilling site, and responding to abnormal alarms at the drilling site in a timely manner based on the monitoring results.

[0006] Optionally, performing integrated analysis and data preprocessing on the initial monitoring data to obtain target monitoring data includes: Categorize and sort monitoring data of different types and timestamps according to preset logic to generate the initial integrated analysis data set corresponding to the monitoring data ; Build an intelligent processing model for monitoring data vectorization based on machine learning; According to the intelligent processing model, preprocessing of the initial integrated analysis data set is performed to obtain target monitoring data.

[0007] Optionally, the intelligent processing model for monitoring data vectorization based on machine learning is a neural network model including a self-attention mechanism, and the neural network model including a self-attention mechanism calculates the importance index value of each neuron according to the weight and gradient value of each neuron, and measures the matching degree of multiple importance index values ​​with the initial integrated analysis data set through a preset algorithm; wherein, the intelligent processing model for monitoring data vectorization based on machine learning is first The weight vector of a neuron is expressed as , the corresponding gradient vector is , No. The importance index of each neuron It is expressed as: in, Represents an adjustable weight parameter, which is used to balance the contribution of weight and gradient to the importance index value; The matching degree between the multiple importance index values ​​and the initial integrated analysis data set is measured by a preset algorithm, which is expressed as: in, Indicates the matching degree of the importance index value with the initial integrated analysis data set, represents the number of neurons, Represents the integrated analysis dataset vector The transpose of .

[0008] Another embodiment of the present application provides a method for remote real-time monitoring of a drilling site, the method comprising: Collecting initial monitoring data of the drilling site in real time, the initial monitoring data including in-hole data and drilling fluid performance parameters; the in-hole data including drilling pressure, rotation speed, torque and depth; the drilling fluid performance parameters including drilling fluid density, drilling fluid viscosity and sand content; Perform transmission, integration analysis and data preprocessing of the initial monitoring data through a preset wireless transmission method to obtain target monitoring data; According to the target monitoring data, real-time monitoring of the engineering conditions of the drilling site is performed, and abnormal alarms of the drilling site are responded to in a timely manner through the monitoring results.

[0009] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to implement the above-mentioned method when executed.

[0010] Another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement the above-mentioned method.

[0011] Compared with the prior art, the present application uses a data acquisition module, an analysis and processing module, and a terminal monitoring module connected by communication; wherein the data acquisition module is used to collect the initial monitoring data of the drilling site in real time, and the analysis and processing module is used to perform integrated analysis and data preprocessing of the initial monitoring data to obtain the target monitoring data; the terminal monitoring module is used to receive the target monitoring data, thereby realizing the monitoring of the engineering conditions of the drilling site, and responding to abnormal alarms of the drilling site in a timely manner through the monitoring results. The present invention can manage the site, automatically collect, store and process the massive data generated in the drilling project, allow engineering personnel to remotely view the drilling site, collect, process and analyze the drilling information in real time, provide remote technical support, and issue alarms for abnormalities in the drilling process, reminding operators to troubleshoot in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A hardware structure block diagram of a computer terminal for a remote real-time monitoring method of a drilling site provided by an embodiment of the present invention; Figure 2 A structural schematic diagram of a remote real-time monitoring system for a drilling site provided by an embodiment of the present invention; Figure 3 A flowchart of a remote real-time monitoring method for a drilling site provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0013] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0014] The embodiment of the present invention first provides a method for remote real-time monitoring of a drilling site, which can be applied to electronic devices such as computer terminals, specifically ordinary computers, tablets, etc.

[0015] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of a drilling site remote real-time monitoring method provided by an embodiment of the present invention. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0016] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the drilling site remote real-time monitoring methods.

[0017] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0018] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any method for remote real-time monitoring of the drilling site.

[0019] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0020] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0021] See also Figure 2 , Figure 2 A structural diagram of a remote real-time monitoring system for a drilling site provided by an embodiment of the present invention. The remote real-time monitoring system 200 for a drilling site may include: A data acquisition module 201, an analysis and processing module 202 and a terminal monitoring module 203 connected in communication; wherein the data acquisition module 201 is used to collect the initial monitoring data of the drilling site in real time, and the initial monitoring data includes in-hole data and drilling fluid performance parameters; the in-hole data includes drilling pressure, rotation speed, torque and depth; the drilling fluid performance parameters include drilling fluid density, drilling fluid viscosity and sand content; wherein the in-hole data is obtained by using a data acquisition optical sensor array embedded in the drilling drill pipe, and grating encoding and optical signal demodulation equipment; the drilling fluid performance parameters are determined by using a multi-parameter detection unit in the drilling fluid circulation system; wherein the multi-parameter detection unit includes a capacitive sensor, an ultrasonic sensor and an electrode array, wherein the capacitive sensor determines the drilling fluid density by measuring the change in the dielectric constant of the drilling fluid; the ultrasonic sensor determines the drilling fluid viscosity by emitting ultrasonic waves to the drilling fluid, and based on the attenuation and phase change of the reflected wave; the electrode array uses the electrochemical principle to analyze the ion concentration in the drilling fluid to determine the sand content parameter; Among them, multiple data acquisition optical sensors are installed at the drilling rod at preset intervals. By obtaining the phase and intensity information received by the optical sensors and using the optical signal demodulation equipment, the drilling pressure, speed and torque data in the hole data are determined; the fiber grating encoding method is used to locate the depth of the drill rod according to the wavelength difference of the grating reflected light at different positions, and realize real-time depth data feedback; Among them, The data collection optical sensors are installed on the drilling rod at a preset interval. A light sensor at a time The received optical signal strength is , the phase is , through the built-in mapping relationship of the optical signal demodulation device , and use the following method to obtain the drilling pressure , speed and torque : in, It is a nonlinear function used to convert the optical signal characteristics collected by the sensor into corresponding mechanical and motion parameters; Among them, the fiber Bragg grating encoding method is used to determine the drill pipe depth calibration function ; Based on the drill pipe depth calibration function , and based on the wavelength difference of the reflected light from the grating at different positions , calculate the depth of the drill pipe by a preset method; wherein the preset method includes calculating the depth of the drill pipe using the following formula : in, Indicates The wavelength of the light reflected from the grating at each position, Indicates the pre-determined depth reference value for each grating. Indicates The depth increment corresponding to the grating satisfies ,in, Indicates the preset calibration scale factor, Indicates wavelength difference; The analysis and processing module 202 is used to perform integrated analysis and data preprocessing on the initial monitoring data to obtain target monitoring data; The terminal monitoring module 203 is used to receive target monitoring data, thereby monitoring the engineering conditions of the drilling site, and responding to abnormal alarms of the drilling site in a timely manner based on the monitoring results.

[0022] The transmission of the above data can use a transmission module based on low-power, long-distance wireless communication technology such as ZigBee or LoRa. The transmission module has a built-in high-performance microprocessor and wireless radio frequency transceiver, which can achieve stable and real-time data transmission. The transmission module can also have data encryption and verification functions to ensure the security and reliability of data transmission.

[0023] According to the environment and conditions of the drilling site, set appropriate wireless transmission frequency, baud rate and other parameters. Ensure that the transmission module can cover the entire drilling area and achieve stable communication with multiple sensors and analysis and processing modules. The initial monitoring data collected by the sensor is transmitted to the transmission module via wired or wireless means. The transmission module packages and encrypts the received data and sends it to the analysis and processing module via a wireless channel. The analysis and processing module receives and decrypts the data packet and extracts the initial monitoring data.

[0024] The analysis and processing module 202 can perform integrated analysis and data preprocessing on the received initial monitoring data, which may include data cleaning, data verification, data format conversion, etc., to obtain more accurate and useful target monitoring data.

[0025] The terminal monitoring module 203 receives the target monitoring data and monitors the engineering conditions of the drilling site in real time based on it. If abnormal data is found (such as excessive drilling pressure, abnormal drilling fluid viscosity, etc.), the system will issue an alarm in time so that the staff can take corresponding measures. Through wireless transmission and cloud storage, the system can obtain and store the monitoring data of the drilling site in real time, ensuring the timeliness and accuracy of the data. Without going to the drilling site in person, the staff can remotely view the drilling progress and drilling fluid performance through the terminal monitoring module, which improves work efficiency and safety. The system can automatically detect abnormal data and issue an alarm, which helps to timely discover and solve problems in the drilling process and prevent accidents.

[0026] The optical sensor array may include optical fiber sensors, grating sensors, etc., which can sense the force and rotation state of the drill pipe during drilling. Grating encoding is a technology that converts physical displacement or angle change into electrical signals. By reading the coded information on the grating, the drilling pressure, rotation speed, torque and other parameters of the drill pipe can be accurately measured. The optical signal demodulation device is used to convert the optical signal output by the optical sensor array into an electrical signal, and decode and process it to obtain accurate in-hole data.

[0027] The multi-parameter detection unit integrates multiple sensors such as capacitive sensors, ultrasonic sensors, and electrode arrays to comprehensively monitor the performance parameters of drilling fluid. Among them, the capacitive sensor determines the density of drilling fluid by measuring the change in the dielectric constant of drilling fluid. The density of drilling fluid has a certain correlation with its dielectric constant, so the density of drilling fluid can be indirectly measured by capacitive sensors. The ultrasonic sensor emits ultrasonic waves to the drilling fluid and determines the viscosity of the drilling fluid based on the attenuation and phase change of the reflected wave. When ultrasonic waves propagate in the drilling fluid, they are affected by the viscosity. By measuring the propagation characteristics of ultrasonic waves, the viscosity of the drilling fluid can be inferred. The electrode array uses electrochemical principles to analyze the ion concentration in the drilling fluid to determine the sand content parameter. The electrode array can monitor the electrochemical activity of different ions in the drilling fluid, and by analyzing the concentration changes of these ions, the sand content in the drilling fluid can be indirectly inferred.

[0028] The use of grating encoding and optical signal demodulation equipment and a variety of high-precision sensors can ensure that the collected data has high precision and accuracy. The sensor can collect data in real time and transmit it to the analysis and processing module in real time through the wireless transmission module, thereby realizing real-time monitoring of the drilling site. By integrating a variety of sensors, various parameters in the drilling process can be fully monitored to provide comprehensive data support for drilling operations. Combined with cloud computing and data analysis technology, the collected data can be intelligently processed and analyzed to improve the intelligence level of drilling operations.

[0029] Exemplarily, the method of using a data acquisition optical sensor array embedded in a drilling rod and using grating encoding and optical signal demodulation equipment to obtain in-hole data may include: 1. Install multiple data acquisition optical sensors at preset intervals on the drilling rod, obtain the phase and intensity information received by the optical sensors, and use the optical signal demodulation equipment to determine the drilling pressure, speed and torque data in the hole data; 2. Using fiber grating encoding, the depth of the drill pipe is located according to the wavelength difference of the grating reflected light at different positions, realizing real-time depth data feedback.

[0030] Multiple data acquisition optical sensors are installed at key locations of the drilling rod at preset intervals. These sensors may include optical fiber sensors, grating sensors, etc., which can sense various physical parameters of the drill rod during the drilling process. Among them, the optical sensor reflects the working status of the drill rod by receiving information such as the phase and intensity of light. For example, when the drill rod is subjected to drilling pressure, the phase or intensity information of the optical sensor will change; when the drill rod rotates, the optical sensor can sense the change in rotation speed; when the drill rod is subjected to torque, the optical sensor can also capture the corresponding information.

[0031] Optical signal demodulation equipment is used to convert the optical signal output by the optical sensor into an electrical signal, and decode and process it. In this way, the in-hole data such as drilling pressure, rotation speed and torque can be extracted from the optical signal. The optical signal demodulation equipment has the characteristics of high precision, high sensitivity and high stability, which can ensure the accuracy and reliability of the collected data.

[0032] For example, the method includes installing a plurality of data acquisition optical sensors at a preset interval on the drilling rod, obtaining the phase and intensity information received by the optical sensors, and determining the drilling pressure, rotation speed and torque data in the hole data through an optical signal demodulation device, including: Will The data collection optical sensors are installed on the drilling rod at a preset interval. A light sensor at a time The received optical signal strength is , the phase is , through the built-in mapping relationship of the optical signal demodulation device , and use the following method to obtain the drilling pressure , speed and torque : in, It is a nonlinear function used to convert the optical signal characteristics collected by the sensor into corresponding mechanical and motion parameters.

[0033] By using fiber Bragg grating encoding, different wavelengths of reflected light from gratings can be set at different locations on the drill pipe. When light signals pass through these gratings, reflections occur and light signals with specific wavelengths are generated. By analyzing the wavelength differences of the reflected light, the specific depth of the drill pipe can be determined. In this way, real-time depth data feedback can be achieved, providing accurate location information for drilling operations.

[0034] For example, the fiber grating encoding method is used to locate the depth of the drill pipe according to the wavelength difference of the grating reflected light at different positions, and to realize real-time depth data feedback, including: Using fiber Bragg grating encoding to determine the drill pipe depth calibration function ; Drill rod depth calibration function , and based on the wavelength difference of the reflected light from the grating at different positions , calculate the depth of the drill pipe by a preset method; wherein the preset method includes calculating the depth of the drill pipe using the following formula : in, Indicates The wavelength of the light reflected from the grating at each position, Indicates the pre-determined depth reference value for each grating. Indicates The depth increment corresponding to the grating satisfies ,in, Indicates the preset calibration scale factor, Indicates wavelength difference.

[0035] Optical sensors and optical signal demodulation equipment can achieve high-precision measurement of in-hole data such as drilling pressure, rotation speed and torque. This technology can collect and transmit data in real time, providing timely monitoring and feedback for drilling operations. Through fiber grating encoding technology, accurate measurement and positioning of drill pipe depth can be achieved. This technology is suitable for various drilling operation scenarios, including oil exploration, geological exploration, mineral resource exploration, etc.

[0036] In an optional implementation, performing integrated analysis and data preprocessing on the initial monitoring data to obtain target monitoring data may include: Step 1: Classify and sort monitoring data of different types and timestamps according to the preset logic to generate the initial integrated analysis data set corresponding to the monitoring data ; Step 2: Build an intelligent processing model for monitoring data vectorization based on machine learning; Step 3: According to the intelligent processing model, preprocessing of the initial integrated analysis data set is performed to obtain target monitoring data.

[0037] Among them, the intelligent processing model of monitoring data vectorization based on machine learning is used to convert multi-dimensional and heterogeneous monitoring data into a vector representation in a unified format. For example, unsupervised learning methods (such as principal component analysis PCA, autoencoder, etc.) or supervised learning methods (such as neural networks, support vector machines, etc.) can be used to build the model. The model is trained using historical monitoring data so that it can learn the intrinsic connections and feature representations between data. Through vectorization processing, high-dimensional monitoring data can be converted into low-dimensional vector representations, thereby simplifying the data analysis process. The model can automatically extract key features from monitoring data, providing a basis for subsequent data analysis and anomaly detection. Through vectorization processing, the dimensional differences between different monitoring parameters can be eliminated, making the data more uniform and comparable in numerical terms.

[0038] The preprocessing of the initial integrated analysis data set includes taking the initial integrated analysis data set X as input, and using the trained intelligent processing model to vectorize each data point in X to obtain a vectorized data set. Then, invalid data such as outliers and duplicate values ​​are removed from the vectorized data. Finally, the vectorized data is normalized to a unified value range for subsequent data analysis and processing. After the above preprocessing steps, a high-quality preprocessed data set can be obtained, which has a unified format, eliminates heterogeneity, and retains key information in the original data. The preprocessed data set provides a reliable foundation for subsequent data analysis, anomaly detection, pattern recognition and other tasks.

[0039] In an optional embodiment, the intelligent processing model for monitoring data vectorization based on machine learning can be a neural network model including a self-attention mechanism, which calculates the importance index value of each neuron based on the weight and gradient value of each neuron, and measures the matching degree of multiple importance index values ​​with the initial integrated analysis data set through a preset algorithm; wherein, the intelligent processing model for monitoring data vectorization based on machine learning is first The weight vector of a neuron is expressed as , the corresponding gradient vector is , No. The importance index of each neuron It is expressed as: in, Represents an adjustable weight parameter, which is used to balance the contribution of weight and gradient to the importance index value; The matching degree between the multiple importance index values ​​and the initial integrated analysis data set is measured by a preset algorithm, which is expressed as: in, Indicates the matching degree of the importance index value with the initial integrated analysis data set, represents the number of neurons, Represents the integrated analysis dataset vector The transpose of .

[0040] It can be seen that the present application is connected by a data acquisition module, an analysis and processing module, and a terminal monitoring module through communication; wherein the data acquisition module is used to collect the initial monitoring data of the drilling site in real time, and the analysis and processing module is used to perform integrated analysis and data preprocessing of the initial monitoring data to obtain the target monitoring data; the terminal monitoring module is used to receive the target monitoring data, thereby realizing the monitoring of the engineering conditions of the drilling site, and responding to abnormal alarms of the drilling site in a timely manner through the monitoring results. The present invention can manage the site, automatically collect, store and process the massive data generated in the drilling project, allow engineering personnel to remotely view the drilling site, collect, process and analyze the drilling information in real time, provide remote technical support, and issue alarms for abnormalities in the drilling process, reminding operators to troubleshoot in a timely manner.

[0041] See also Figure 3 , Figure 3 A flowchart of a remote real-time monitoring method for a drilling site provided by an embodiment of the present invention includes: S201: collecting initial monitoring data of the drilling site in real time, wherein the initial monitoring data includes in-hole data and drilling fluid performance parameters; the in-hole data includes drilling pressure, rotation speed, torque and depth; the drilling fluid performance parameters include drilling fluid density, drilling fluid viscosity and sand content; S202: performing transmission, integration analysis and data preprocessing of the initial monitoring data through a preset wireless transmission method to obtain target monitoring data; S203: Perform real-time monitoring of the engineering status of the drilling site according to the target monitoring data, and respond to abnormal alarms of the drilling site in a timely manner based on the monitoring results.

[0042] Specifically, sensors installed on drilling equipment are used to collect in-hole data such as drilling pressure, rotation speed, torque and depth in real time. Special drilling fluid detection devices are used to measure the performance parameters of drilling fluid such as density, viscosity and sand content in real time. According to the environment and conditions of the drilling site, a suitable wireless transmission method (such as Wi-Fi, LoRa, 4G / 5G, etc.) is selected to transmit the initial monitoring data to ensure the stability and real-time nature of data transmission so as to obtain the latest data from the drilling site in a timely manner. Alternatively, a unified data transmission protocol is formulated to ensure the consistency of data format, encoding and transmission method.

[0043] Receive initial monitoring data from the drilling site and integrate it into a unified data processing platform or system. Perform preliminary analysis and preprocessing on the integrated data, such as removing noise, filling missing values, and standardization. Use statistical analysis, data mining and other methods to extract useful information and features to provide a basis for subsequent monitoring and alarms. Finally, monitor the engineering status of the drilling site in real time based on the target monitoring data. Use charts, curves, alarm lights and other methods to intuitively display various parameters and indicators of the drilling site.

[0044] For example, reasonable thresholds and alarm rules are set, and when the target monitoring data exceeds or falls below these thresholds, an alarm is automatically triggered. Alarm information can include abnormal parameters, abnormal degree, occurrence time and location, etc., so that drillers can respond and handle them in time. According to the alarm information, drillers can take corresponding measures to solve the problem, such as adjusting drilling parameters, changing drilling fluid, shutting down for maintenance, etc. At the same time, historical data and experience can also be used to further analyze and judge the alarm to improve the efficiency and accuracy of problem solving.

[0045] Compared with the prior art, the present application first collects the initial monitoring data of the drilling site in real time, and then transmits, integrates and analyzes the initial monitoring data and performs data preprocessing through a preset wireless transmission method to obtain the target monitoring data; finally, based on the target monitoring data, the real-time monitoring of the engineering conditions of the drilling site is performed, and the abnormal alarm of the drilling site is responded to in a timely manner through the monitoring results. The real-time collection, transmission, integration and analysis of the initial monitoring data of the drilling site, as well as real-time monitoring and abnormal alarm are realized, providing a strong guarantee for the safe and efficient operation of the drilling project.

[0046] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to implement the steps in the above method embodiment when running.

[0047] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201: collecting initial monitoring data of the drilling site in real time, wherein the initial monitoring data includes in-hole data and drilling fluid performance parameters; the in-hole data includes drilling pressure, rotation speed, torque and depth; the drilling fluid performance parameters include drilling fluid density, drilling fluid viscosity and sand content; S202: performing transmission, integration analysis and data preprocessing of the initial monitoring data through a preset wireless transmission method to obtain target monitoring data; S203: Perform real-time monitoring of the engineering status of the drilling site according to the target monitoring data, and respond to abnormal alarms of the drilling site in a timely manner based on the monitoring results.

[0048] Specifically, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0049] Compared with the prior art, the present application first collects the initial monitoring data of the drilling site in real time, and then transmits, integrates and analyzes the initial monitoring data and performs data preprocessing through a preset wireless transmission method to obtain the target monitoring data; finally, based on the target monitoring data, the real-time monitoring of the engineering conditions of the drilling site is performed, and the abnormal alarm of the drilling site is responded to in a timely manner through the monitoring results. The real-time collection, transmission, integration and analysis of the initial monitoring data of the drilling site, as well as real-time monitoring and abnormal alarm are realized, providing a strong guarantee for the safe and efficient operation of the drilling project.

[0050] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in the above method embodiment.

[0051] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0052] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201: collecting initial monitoring data of the drilling site in real time, wherein the initial monitoring data includes in-hole data and drilling fluid performance parameters; the in-hole data includes drilling pressure, rotation speed, torque and depth; the drilling fluid performance parameters include drilling fluid density, drilling fluid viscosity and sand content; S202: performing transmission, integration analysis and data preprocessing of the initial monitoring data through a preset wireless transmission method to obtain target monitoring data; S203: Perform real-time monitoring of the engineering status of the drilling site according to the target monitoring data, and respond to abnormal alarms of the drilling site in a timely manner based on the monitoring results.

[0053] Compared with the prior art, the present application first collects the initial monitoring data of the drilling site in real time, and then transmits, integrates and analyzes the initial monitoring data and performs data preprocessing through a preset wireless transmission method to obtain the target monitoring data; finally, based on the target monitoring data, the real-time monitoring of the engineering conditions of the drilling site is performed, and the abnormal alarm of the drilling site is responded to in a timely manner through the monitoring results. The real-time collection, transmission, integration and analysis of the initial monitoring data of the drilling site, as well as real-time monitoring and abnormal alarm are realized, providing a strong guarantee for the safe and efficient operation of the drilling project.

[0054] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0055] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0056] In the several embodiments provided by the present invention, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0057] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0058] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0059] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-mentioned methods of each embodiment of the present invention. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0060] The embodiments of the present invention are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A remote real-time monitoring system for a drilling site, the system comprising: The data acquisition module, analysis and processing module and terminal monitoring module are connected by communication; wherein, The data acquisition module is used to collect the initial monitoring data of the drilling site in real time, and the initial monitoring data includes in-hole data and drilling fluid performance parameters; the in-hole data includes drilling pressure, rotation speed, torque and depth; the drilling fluid performance parameters include drilling fluid density, drilling fluid viscosity and sand content; wherein, the in-hole data is obtained by using the data acquisition optical sensor array embedded in the drilling drill pipe, and grating encoding and optical signal demodulation equipment; the drilling fluid performance parameters are determined by using the multi-parameter detection unit in the drilling fluid circulation system; wherein, the multi-parameter detection unit includes a capacitive sensor, an ultrasonic sensor and an electrode array, and the capacitive sensor determines the drilling fluid density by measuring the change of the dielectric constant of the drilling fluid; the ultrasonic sensor determines the drilling fluid viscosity by emitting ultrasonic waves to the drilling fluid, and based on the attenuation and phase change of the reflected wave; the electrode array uses the electrochemical principle to analyze the ion concentration in the drilling fluid to determine the sand content parameter; Among them, multiple data acquisition optical sensors are installed at the drilling rod at preset intervals. By obtaining the phase and intensity information received by the optical sensors and using the optical signal demodulation equipment, the drilling pressure, speed and torque data in the hole data are determined; the fiber grating encoding method is used to locate the depth of the drill rod according to the wavelength difference of the grating reflected light at different positions, and realize real-time depth data feedback; Among them, The data acquisition optical sensors are installed on the drilling rod at a preset interval. A light sensor at a time The received optical signal strength is , the phase is , through the built-in mapping relationship of the optical signal demodulation device , and use the following method to obtain the drilling pressure , speed and torque : in, It is a nonlinear function used to convert the optical signal characteristics collected by the sensor into corresponding mechanical and motion parameters; Among them, the fiber Bragg grating encoding method is used to determine the drill pipe depth calibration function ; Based on the drill pipe depth calibration function , and based on the wavelength difference of the reflected light from the grating at different positions , calculate the depth of the drill pipe by a preset method; wherein the preset method includes calculating the depth of the drill pipe using the following formula : in, Indicates The wavelength of the light reflected from the grating at each position, Indicates the pre-determined depth reference value for each grating. Indicates The depth increment corresponding to the grating satisfies ,in, Indicates the preset calibration scale factor, Indicates wavelength difference; The analysis and processing module is used to perform integrated analysis and data preprocessing on the initial monitoring data to obtain target monitoring data; The terminal monitoring module is used to receive target monitoring data, thereby monitoring the engineering conditions of the drilling site, and responding to abnormal alarms at the drilling site in a timely manner based on the monitoring results.

2. The system according to claim 1, characterized in that The performing of integrated analysis and data preprocessing of the initial monitoring data to obtain target monitoring data includes: Categorize and sort monitoring data of different types and timestamps according to preset logic to generate the initial integrated analysis data set corresponding to the monitoring data ; Build an intelligent processing model for monitoring data vectorization based on machine learning; According to the intelligent processing model, preprocessing of the initial integrated analysis data set is performed to obtain target monitoring data.

3. The system according to claim 2, characterized in that The intelligent processing model for monitoring data vectorization based on machine learning is a neural network model including a self-attention mechanism. The neural network model including a self-attention mechanism calculates the importance index value of each neuron according to the weight and gradient value of each neuron, and measures the matching degree of multiple importance index values ​​with the initial integrated analysis data set through a preset algorithm; wherein, the intelligent processing model for monitoring data vectorization based on machine learning is first The weight vector of a neuron is expressed as , the corresponding gradient vector is , No. The importance index of each neuron It is expressed as: in, Represents an adjustable weight parameter, which is used to balance the contribution of weight and gradient to the importance index value; The matching degree between the multiple importance index values ​​and the initial integrated analysis data set is measured by a preset algorithm, which is expressed as: in, Indicates the matching degree of the importance index value with the initial integrated analysis data set, represents the number of neurons, Represents the integrated analysis dataset vector The transpose of .

4. A remote real-time monitoring method for a drilling site, the method comprising: Collecting initial monitoring data of the drilling site in real time, the initial monitoring data including in-hole data and drilling fluid performance parameters; the in-hole data including drilling pressure, rotation speed, torque and depth; the drilling fluid performance parameters including drilling fluid density, drilling fluid viscosity and sand content; Perform transmission, integration analysis and data preprocessing of the initial monitoring data through a preset wireless transmission method to obtain target monitoring data; According to the target monitoring data, real-time monitoring of the engineering conditions of the drilling site is performed, and abnormal alarms of the drilling site are responded to in a timely manner through the monitoring results.

5. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to implement the method described in claim 4 when executed.

6. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the computer program to implement the method described in claim 4.

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