Reservoir pore real-time identification device and method based on high-speed transmission

Abstract

The invention provides a reservoir pore real-time identification device and method based on high-speed transmission. The reservoir pore real-time identification device based on high-speed transmission comprises an underground high-speed pulse signal generator, a data comprehensive processing module, a signal acquisition module, a neutron generator, an ultrasonic borehole diameter detection module, a near-end thermal neutron detector and a far-end thermal neutron detector. Wherein the data comprehensive processing module is a data rapid processing unit formed by a DSP (Digital Signal Processor) and an FPGA (Field Programmable Gate Array), and is used for primarily processing underground real-time measurement data, coding the processed effective information and transmitting the coded effective information to the high-speed transmission unit so as to transmit the coded effective information to the ground; the method is used for integrating underground multi-source data and providing guiding drilling decisions. According to the technical scheme, various advanced algorithms and technical means are adopted, real-time rapid processing and data compression of underground information are achieved, the requirement for channel transmission is effectively lowered, and the effective information uploading efficiency and the drilling decision accuracy are improved.

Description

Background Art

[0002] Traditional reservoir porosity calculations mostly rely on the storage and upload of near and far source distance thermal neutron counts. Formation measurement information is stored in a data storage device, and the formation porosity value is read and calculated after the drill returns to the surface. Traditional methods often fail to accurately reflect the true situation of reservoir pores in real time, affecting exploration results and development decisions. The data transmission rate of conventional downhole mud pulse channels is low, which is difficult to meet the real-time upload requirements of near and far source distance thermal neutron count information. Summary of the invention

[0003] The present application provides a reservoir pore real-time identification device and method based on high-speed transmission, which is used to realize real-time identification of reservoir pore components by integrating advanced downhole information real-time processing technology and high-speed mud pulse transmission technology; in addition, based on the two working modes of the device of the present invention (downhole small closed-loop working mode and well-ground large closed-loop working mode), the downhole information transmission efficiency can be effectively improved, geological guidance can be assisted, and drilling efficiency can be improved.

[0004] In a first aspect, a reservoir pore real-time identification device based on high-speed transmission is provided, comprising:

[0005] The signal acquisition module is used to collect real-time information during the drilling process of the drilling tool and obtain multi-parameter data;

[0006] The information comprehensive processing module is used for processing the multi-parameter data in real time.

[0007] In the above technical scheme, a signal acquisition module is set up to collect real-time information during the drilling process of the drill bit to obtain multi-parameter data; an information comprehensive processing module is used to process the multi-parameter data in real time; a variety of advanced algorithms and technical means are used to realize real-time and rapid processing and data compression of downhole information, effectively reduce the requirements for channel transmission, and improve the efficiency of uploading effective information and the accuracy of drilling decisions.

[0008] In a specific embodiment, it also includes:

[0009] The high-speed transmission module is used to transmit the multi-parameter data that has been collected and pre-processed to the ground host computer in real time through efficient coding.

[0010] In a specific implementation scheme, the signal acquisition module includes:

[0011] The near detector and the far detector are used to collect the thermal neutron count values ​​at near source distance and far source distance respectively, and obtain the measurement data of the near and far detectors;

[0012] Ultrasonic wellbore detection module, used to obtain wellbore information and provide real-time wellbore information for wellbore correction during porosity calculation;

[0013] Well inclination, azimuth, and tool face measurement module: provides data support for downhole drilling decisions.

[0014] In a specific implementation scheme, the integrated processing module includes a fast data processing unit composed of DSP and FPGA.

[0015] In a specific implementation manner, the high-speed transmission module uses a high-speed mud pulse generator.

[0016] In a specific implementation scheme, the information comprehensive processing module includes:

[0017] A computing unit, used for processing the received multi-parameter data and the near and far detector measurement data;

[0018] Intelligent algorithm library, including pore identification algorithm based on caliper correction and adaptive intelligent drilling decision.

[0019] In a specific embodiment, the pore identification algorithm based on caliper correction includes an image pixel dimension enhancement algorithm or a pore characteristic parameter inversion model.

[0020] In a specific embodiment, the multi-parameter data includes well inclination, azimuth, tool face and ultrasonic wellbore.

[0021] In a specific implementation scheme, the information comprehensive processing module is used to process the multi-parameter data in real time, including:

[0022] Performing real-time calculation of reservoir pore composition based on the received real-time multi-parameter data from downhole;

[0023] Adopting data compression method to compress downhole measurement data;

[0024] Complete multi-source data fusion and make preliminary drilling decisions, while receiving feedback guidance information to correct drilling decisions.

[0025] In a second aspect, a method for real-time identification of reservoir pores based on high-speed transmission is provided, comprising the following steps:

[0026] The signal acquisition module is used to collect real-time information during the drilling process of the drilling tool to obtain multi-parameter data;

[0027] Processing the multi-parameter data in real time using an information comprehensive processing module;

[0028] The multi-parameter data collected and pre-processed are transmitted to the ground host computer in real time through efficient coding using a high-speed transmission module.

[0029] In the above technical scheme, a signal acquisition module is set up to collect real-time information during the drilling process of the drill bit to obtain multi-parameter data; an information comprehensive processing module is used to process the multi-parameter data in real time; a variety of advanced algorithms and technical means are used to realize real-time and rapid processing and data compression of downhole information, effectively reduce the requirements for channel transmission, and improve the efficiency of uploading effective information and the accuracy of drilling decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A structural block diagram of a reservoir pore real-time identification device based on high-speed transmission provided in an embodiment of the present application;

[0031] Figure 2 A flowchart of a method for real-time reservoir pore identification based on high-speed transmission provided in an embodiment of the present application;

[0032] Figure 3 A schematic diagram of the specific structure of a reservoir pore real-time identification device based on high-speed transmission provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] The present application is further described in detail below through the accompanying drawings and embodiments. Through these descriptions, the characteristics and advantages of the present application will become clearer and more specific.

[0034] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise noted.

[0035] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0036] To facilitate understanding of the reservoir pore real-time identification device and method based on high-speed transmission provided in the embodiment of the present application, its application scenario is first explained. The reservoir pore real-time identification device and method based on high-speed transmission provided in the embodiment of the present application are used to realize real-time identification of reservoir pore components by integrating advanced downhole information real-time processing technology and high-speed mud pulse transmission technology; in addition, based on the two working modes of the device of the present invention (downhole small closed-loop working mode and well-ground large closed-loop working mode), it can effectively improve the downhole information transmission efficiency, assist geological guidance, and improve drilling efficiency. Traditional reservoir porosity calculations mostly rely on the near and far source distance thermal neutron count values ​​stored and uploaded. The formation measurement information is stored in the data storage device, and the formation porosity value is read and calculated after the drill returns to the ground. Traditional methods are often difficult to accurately reflect the real situation of reservoir pores in real time, affecting exploration results and development decisions. The data transmission rate of conventional downhole mud pulse channels is low, and it is difficult to meet the real-time upload requirements of near and far source distance thermal neutron count value information. To this end, the embodiment of the present application provides a reservoir pore real-time identification device and method based on high-speed transmission, so as to realize real-time identification of reservoir pore components by integrating advanced downhole information real-time processing technology and high-speed mud pulse transmission technology; in addition, based on the two working modes of the device of the present invention (downhole small closed-loop working mode and well-ground large closed-loop working mode), it can effectively improve the downhole information transmission efficiency, assist geological guidance, and improve drilling efficiency. The following is a detailed description of the embodiment in conjunction with specific drawings.

[0037] refer to Figures 1 to 3 , Figure 1 A structural block diagram of a reservoir pore real-time identification device based on high-speed transmission provided in an embodiment of the present application; Figure 2 A flowchart of a method for real-time reservoir pore identification based on high-speed transmission provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of a real-time reservoir pore identification device based on high-speed transmission provided in an embodiment of the present application.

[0038] exist Figure 1 In the embodiment of the present application, a reservoir pore real-time identification device based on high-speed transmission is provided.

[0039] include:

[0040] The signal acquisition module is used to collect real-time information during the drilling process of the drilling tool and obtain multi-parameter data;

[0041] The information comprehensive processing module is used for processing the multi-parameter data in real time.

[0042] In the above technical scheme, a signal acquisition module is set up to collect real-time information during the drilling process of the drill bit to obtain multi-parameter data; an information comprehensive processing module is used to process the multi-parameter data in real time; a variety of advanced algorithms and technical means are used to realize real-time and rapid processing and data compression of downhole information, effectively reduce the requirements for channel transmission, and improve the efficiency of uploading effective information and the accuracy of drilling decisions.

[0043] In a specific embodiment, it also includes:

[0044] The high-speed transmission module is used to transmit the multi-parameter data that has been collected and pre-processed to the ground host computer in real time through efficient coding.

[0045] In a specific implementation scheme, the signal acquisition module includes:

[0046] The near detector and the far detector are used to collect the thermal neutron count values ​​at near source distance and far source distance respectively, and obtain the measurement data of the near and far detectors;

[0047] Ultrasonic wellbore detection module, used to obtain wellbore information and provide real-time wellbore information for wellbore correction during porosity calculation;

[0048] Well inclination, azimuth, and tool face measurement module: provides data support for downhole drilling decisions.

[0049] In a specific implementation scheme, the integrated processing module includes a fast data processing unit composed of DSP and FPGA.

[0050] In a specific implementation manner, the high-speed transmission module uses a high-speed mud pulse generator.

[0051] In a specific implementation scheme, the information comprehensive processing module includes:

[0052] A computing unit, used for processing the received multi-parameter data and the near and far detector measurement data;

[0053] Intelligent algorithm library, including pore identification algorithm based on caliper correction and adaptive intelligent drilling decision.

[0054] In a specific embodiment, the pore identification algorithm based on caliper correction includes an image pixel dimension enhancement algorithm or a pore characteristic parameter inversion model.

[0055] It should be noted that high-speed mud pulse refers to a pulse signal transmitted at a high rate through the mud pipe during the drilling process.

[0056] Principle: Mud pulse generator usually consists of a pressure pulse valve, which forms pressure pulses in the mud pipeline by opening and closing the valve regularly. These pulses will be transmitted from the bottom of the well to the surface along with the mud, and will be received and interpreted by the equipment on the surface.

[0057] Its advantages are: 1. The pulse generator can monitor the depth and position of the drill bit by generating a pulse signal and transmit the monitored information to the ground equipment. The ground equipment determines the exact position and depth of the drill bit by interpreting the pulse signal.

[0058] 2. Monitor drilling fluid circulation: The normal circulation of drilling fluid is crucial to drilling operations. The mud pulse generator can monitor the circulation of drilling fluid, detect circulation anomalies in time and make adjustments to ensure the normal circulation of drilling fluid.

[0059] 3. Solve the problem of mud transportation: During the mud transportation process, problems such as mud blockage and insufficient infusion often occur. The mud pulse generator can solve these problems by generating a pulse signal of a certain frequency to ensure smooth drilling.

[0060] The description of the pore identification algorithm and adaptive intelligent drilling decision based on caliper correction is as follows:

[0061] 1. Pore Identification Algorithm Based on Well Caliper Correction

[0062] In the process of oil exploration and development, accurate measurement of porosity is crucial for formation evaluation, oil and gas reservoir description and reservoir management. However, changes in well diameter often affect logging data, resulting in errors in porosity measurement. In order to solve this problem, a pore identification algorithm based on well diameter correction came into being.

[0063] The core of this algorithm is to use the wellbore information to correct the logging data, thereby eliminating the impact of wellbore changes on porosity measurement. The specific steps are as follows:

[0064] Firstly, the count rate ratio of near and far detectors of the formation is obtained by logging instruments.

[0065] Then, according to the relationship between the logging response and the formation porosity obtained under the standard well environment, the ratio of the count rates of the near and far detectors is substituted into the formula to calculate the preliminary porosity value.

[0066] Next, the preliminary porosity values ​​are corrected using the wellbore information. This usually involves building a wellbore correction model that adjusts the porosity values ​​based on the wellbore size to reflect the true formation porosity.

[0067] Finally, the corrected porosity values ​​will serve as the basis for formation evaluation.

[0068] The pore identification algorithm based on wellbore correction has the following advantages:

[0069] 1. Improve the accuracy of porosity measurement and reduce the impact of well diameter changes on logging data.

[0070] 2. Enhanced the reliability of formation evaluation and provided more accurate data support for oil and gas reservoir description and reservoir management.

[0071] 2. Adaptive Intelligent Drilling Decision

[0072] In the process of drilling, we are faced with complex geological environment and changeable working conditions. In order to achieve efficient and safe drilling operations, the adaptive intelligent drilling decision system came into being.

[0073] The adaptive intelligent drilling decision system is based on artificial intelligence and big data technology. It provides intelligent decision suggestions and optimization solutions by real-time monitoring and analysis of downhole parameters and working condition data. The specific steps are as follows:

[0074] First, the system monitors downhole parameters and operating data in real time through a sensor network, including drilling pressure, torque, rotation speed, well diameter, etc.

[0075] The monitoring data is then processed and analyzed using big data analysis and algorithm models to identify potential risks and anomalies.

[0076] Then, based on the analysis results and user needs, the system provides intelligent decision-making suggestions and optimization solutions, such as adjusting parameters such as drilling pressure, torque, speed, or taking other necessary measures to ensure the safety and efficiency of drilling operations.

[0077] Finally, the system will provide decision suggestions and optimization solutions to drilling operators to guide them in actual operations.

[0078] The adaptive intelligent drilling decision system has the following advantages:

[0079] 1. Real-time monitoring and data analysis are realized, improving the efficiency and safety of drilling operations.

[0080] 2. Provides intelligent decision-making suggestions and optimization solutions, reducing the risks and errors of human operations.

[0081] 3. Enhanced the flexibility and adaptability of drilling operations, able to cope with complex and changeable geological environments and working conditions.

[0082] In summary, the application of pore identification algorithm based on wellbore correction and adaptive intelligent drilling decision system will help improve the accuracy of porosity measurement, enhance the reliability of formation evaluation, realize efficient and safe drilling operations, and provide strong technical support for the development of the petroleum industry.

[0083] In a specific embodiment, the multi-parameter data includes well inclination, azimuth, tool face and ultrasonic wellbore.

[0084] In a specific implementation scheme, the information comprehensive processing module is used to process the multi-parameter data in real time, including:

[0085] Performing real-time calculation of reservoir pore composition based on the received real-time multi-parameter data from downhole;

[0086] Adopting data compression method to compress downhole measurement data;

[0087] Complete multi-source data fusion and make preliminary drilling decisions, while receiving feedback guidance information to correct drilling decisions.

[0088] refer to Figure 3 The reservoir pore real-time identification system based on high-speed transmission includes: downhole high-speed pulse signal generator, data comprehensive processing module, signal acquisition module (well inclination, azimuth, tool face), neutron generator, ultrasonic caliper detection module, near-end thermal neutron detector, and far-end thermal neutron detector. Among them, the data comprehensive processing module is a data fast processing unit composed of DSP+FPGA: ① used to perform preliminary processing on downhole real-time measurement data, and encode the processed effective information (taking porosity as an example but not limited to porosity information) and transmit it to the high-speed transmission unit, and then transmit it to the ground; ② used to integrate downhole multi-source data and provide directional drilling decisions.

[0089] refer to Figure 3 The reservoir pore real-time identification system based on high-speed transmission adopts Two working modes : 1. Small closed loop downhole: The information comprehensive processing module (DSP+FPGA) processes the measurement information in real time and automatically, thereby providing drilling decision A to the downhole guidance system. At the same time, it can receive feedback from the guidance system to correct the drilling decision. 2. Large closed loop on the well: The information comprehensive processing module (DSP+FPGA) sends the compressed data that needs to be uploaded in real time to the high-speed pulser, which sends the encoded data to the ground host computer in real time. The ground engineer makes a drilling decision B through the real-time signal. At the same time, it is compared with the drilling decision A. If the instructions A and B are the same, drilling continues; if A and B are different, drilling is carried out according to the drilling decision B and the information is fed back to the information comprehensive processing module.

[0090] refer to Figure 3, the data compression method of the information comprehensive processing module (DSP+FPGA) includes the following steps: according to the drilling speed of the drilling tool, determine the time (t1) of taking the average value. The faster the drilling speed, the smaller t1; the slower the drilling speed, the larger t1. The average value of the measured value in the t1 time period is used as the measured value to be transmitted, thereby reducing the amount of data uploaded in real time and reducing the channel transmission rate requirements. In addition, when the data in the next t1 time period is the same as the data in the previous t1 time period, "0" (or other agreed numbers) are transmitted, thereby reducing the amount of transmitted data.

[0091] Take the well diameter as an example: Under the specified sampling rate, suppose that within the time t1, the well diameter measurement values ​​are D1, D2, D3, and D4 respectively. Then the well diameter value to be transmitted in real time is D = (D1 + D2 + D3 + D4) / 4. Within the next time t1, the well diameter measurement values ​​are D21, D22, D23, and D24 respectively. Then the well diameter value to be transmitted in real time is D2 = (D21 + D22 + D23 + D24) / 4. If D = D2, the data to be transmitted is "0".

[0092] In the above technical solution, by integrating advanced data acquisition downhole information real-time processing technology, high-speed mud pulse transmission and real-time processing technology, rapid and accurate identification of reservoir pore components can be achieved in real time. In addition, based on the two working modes of the device of the present invention (downhole small closed-loop working mode and well-ground large closed-loop working mode), the downhole information transmission efficiency can be effectively improved, geological guidance can be assisted, and drilling efficiency can be improved.

[0093] exist Figure 2 In the embodiment of the present application, a method for real-time identification of reservoir pores based on high-speed transmission is provided, comprising the following steps:

[0094] The signal acquisition module is used to collect real-time information during the drilling process of the drilling tool to obtain multi-parameter data;

[0095] Processing the multi-parameter data in real time using an information comprehensive processing module;

[0096] The multi-parameter data collected and pre-processed are transmitted to the ground host computer in real time through efficient coding using a high-speed transmission module.

[0097] In the above technical scheme, a signal acquisition module is set up to collect real-time information during the drilling process of the drill bit to obtain multi-parameter data; an information comprehensive processing module is used to process the multi-parameter data in real time; a variety of advanced algorithms and technical means are used to realize real-time and rapid processing and data compression of downhole information, effectively reduce the requirements for channel transmission, and improve the efficiency of uploading effective information and the accuracy of drilling decisions.

[0098] Those skilled in the art will appreciate that the present application may be implemented as a system, method or computer program product.

[0099] Therefore, the present disclosure may be specifically implemented in the following forms, namely: it may be completely hardware, it may be completely software (including firmware, resident software, microcode, etc.), or it may be a combination of hardware and software, generally referred to herein as a "circuit", "module" or "system". In addition, in some embodiments, the present application may also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium may contain computer-readable program code.

[0100] Any combination of one or more computer-readable media can be used. Computer-readable media can be computer-readable signal media or computer-readable storage media. Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this document, computer-readable storage media can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0101] Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art can change, modify, replace and modify the above embodiments within the scope of the present application. On this basis, a variety of replacements and improvements can be made to the present application, all of which fall within the scope of protection of the present application.

Claims

1. A reservoir pore real-time identification device based on high-speed transmission, characterized in that: include: The signal acquisition module is used to collect real-time information during the drilling process of the drilling tool and obtain multi-parameter data; The information comprehensive processing module is used for processing the multi-parameter data in real time.

2. The reservoir pore real-time identification device based on high-speed transmission according to claim 1 is characterized in that: Also includes: The high-speed transmission module is used to transmit the multi-parameter data that has been collected and pre-processed to the ground host computer in real time through efficient coding.

3. The reservoir pore real-time identification device based on high-speed transmission according to claim 2 is characterized in that: The signal acquisition module comprises: The near detector and the far detector are used to collect the thermal neutron count values ​​at near source distance and far source distance respectively, and obtain the measurement data of the near and far detectors; Ultrasonic wellbore detection module, used to obtain wellbore information and provide real-time wellbore information for wellbore correction during porosity calculation; Well inclination, azimuth, and tool face measurement module: provides data support for downhole drilling decisions.

4. The reservoir pore real-time identification device based on high-speed transmission according to claim 3 is characterized in that: The comprehensive processing module includes a data fast processing unit composed of DSP and FPGA.

5. The reservoir pore real-time identification device based on high-speed transmission according to claim 4 is characterized in that: The high-speed transmission module adopts a high-speed mud pulse generator.

6. The reservoir pore real-time identification device based on high-speed transmission according to claim 5 is characterized in that: The information comprehensive processing module includes: A computing unit, used for processing the received multi-parameter data and the near and far detector measurement data; Intelligent algorithm library, including pore identification algorithm based on caliper correction and adaptive intelligent drilling decision.

7. The reservoir pore real-time identification device based on high-speed transmission according to claim 6 is characterized in that: The pore identification algorithm based on caliper correction includes an image pixel dimension enhancement algorithm or a pore characteristic parameter inversion model.

8. The reservoir pore real-time identification device based on high-speed transmission according to claim 7 is characterized in that: The multi-parameter data include well inclination, azimuth, tool face and ultrasonic wellbore diameter.

9. According to the reservoir pore real-time identification device based on high-speed transmission as claimed in claim 8, the information comprehensive processing module is used for real-time processing of the multi-parameter data, including: Performing real-time calculation of reservoir pore composition based on the received real-time multi-parameter data from downhole; Adopting data compression method to compress downhole measurement data; Complete multi-source data fusion and make preliminary drilling decisions, while receiving feedback guidance information to correct drilling decisions.

10. A method for real-time identification of reservoir pores based on high-speed transmission, characterized in that: The following steps are involved: The signal acquisition module is used to collect real-time information during the drilling process of the drilling tool to obtain multi-parameter data; Processing the multi-parameter data in real time using an information comprehensive processing module; The multi-parameter data collected and pre-processed are transmitted to the ground host computer in real time through efficient coding using a high-speed transmission module.

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