Comprehensive quality control method for VSP processing interpretation data and related equipment

Abstract

The invention discloses a comprehensive quality control method for VSP processing interpretation data and related equipment, and the method carries out the quality control of the four processes of VSP data preprocessing and first arrival pickup, signal processing, corridor superposition and imaging, and VSP comprehensive interpretation, and achieves the remote quality control of VSP data. Quality control work is switched from an offline mode to an online mode; quantitative quality control; the quality control report can be generated by one key, so that the flexibility and the working efficiency of the quality control system are improved, the quality control cost is reduced, and the quality control report can be generated from the targets of uniform quality control standard and remote online quality control. VSP key algorithms such as wave crest and first arrival error, deconvolution effect analysis, event tracking algorithm, dynamic correction Gamma value, speed error analysis, DB spectrum calculation formula, Tar value calculation method and the like are researched and developed, a unified quality control standard is provided for four procedures of Tarim oil field VSP processing interpretation projects, and scientificity and reliability of data quality control results are ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of VSP data processing and interpretation in oil and gas exploration, and specifically relates to a comprehensive quality control method and related equipment for VSP processed and interpreted data. Background Art

[0002] Vertical Seismic Profile technology (VSP) is a seismic observation technology with ground excitation and downhole reception. Compared with surface seismic, the data collected by VSP has advantages such as good signal-to-noise ratio, high resolution, and obvious kinematic and dynamic characteristics of waves. It can provide accurate time-depth conversion and velocity models for surface seismic data processing and interpretation, can more accurately identify geological stratification, and improve the interpretation effect of seismic data. With the increasing difficulty of oil and gas exploration and development, the application of VSP is becoming more and more extensive.

[0003] The processing and interpretation of VSP data is a systematic work, including four major processes: preprocessing and first arrival picking, signal processing, corridor stack and imaging, and VSP comprehensive interpretation. Each process consists of a series of specific procedures, and the effect of each step has a significant impact on the final result. In addition, the results of different personnel and different processing software will also vary. How to control the quality of the VSP processing and interpretation process and results is the key to ensuring the project quality.

[0004] At present, there are the following problems in the quality control of VSP processing and interpretation: First, the current quality control mainly relies on the self-certification of the second party. The quality control software is not unified, lacking a systematic and comprehensive quality control theory covering all processing and interpretation processes, and also lacking a unified and scientific algorithm to standardize and regulate the quality control process, which may produce non-objective and non-systematic analysis results; Second, the quality control data needs to be transmitted between different software and platforms, lacking remote quality control means, with a large workload and low efficiency, affecting the project efficiency and quality. Summary of the Invention

[0005] The present invention provides a comprehensive quality control method and related equipment for VSP processed and interpreted data, solving the problems that the quality control data needs to be transmitted between different software and platforms, lacking remote quality control means, with a large workload and low efficiency, affecting the project efficiency and quality.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A comprehensive quality control method for VSP processed and interpreted data, comprising:

[0008] Performing quality control on VSP preprocessing and first arrival picking;

[0009] Performing quality control on the VSP signal processing results by using amplitude compensation quality control, deconvolution quality control, and wave field separation quality control;

[0010] Quality control is carried out on the VSP signal corridor stack and imaging results by using dynamic correction quality control, two-dimensional velocity modeling quality control, imaging quality control, and bridge calibration quality control;

[0011] Quality control is carried out on the VSP comprehensive interpretation results by using velocity quality control, Tar value quality control, and Q parameter quality control;

[0012] A quality control report is output according to the quality control results of the four stages;

[0013] Among them, the quality control results of the four stages adopt a unified output code.

[0014] Preferably, the quality control of VSP preprocessing and first arrival picking is specifically as follows:

[0015] Use the survey system definition to display the original VSP record and the Z, X, and Y component records, and at the same time display the survey system plan view to qualitatively control whether the display is correct;

[0016] The three-component separation quality control checks whether the seismic data format in the well is correctly decoded;

[0017] The qualitative control before and after the Z component checks the suppression of borehole waves, casing waves, casing resonances, and cable wave noises, and quantitatively outputs the signal-to-noise ratio after noise suppression;

[0018] Display the picked first arrival curve on the VSP section, and quantitatively calculate the time difference distribution and error percentage between the first arrival pick-up and the wave crest position.

[0019] Preferably, the amplitude compensation quality control is specifically as follows: display the section, energy curve, and spectrum changes before and after amplitude compensation, and quality control the amplitude compensation effect;

[0020] Preferably, the deconvolution quality control is specifically as follows: compare the data, autocorrelation, and the difference in energy between the main lobe and side lobes before and after deconvolution, and quality control the deconvolution effect;

[0021] The wavefield separation quality control is specifically as follows: pick up along the isophase axis on the final Z component and calculate the signal-to-noise ratio within a certain time window to quality control the wavefield separation effect.

[0022] Preferably, the dynamic correction quality control is specifically as follows: select the data after the up-going wave is flattened, calculate the Gamma value of the isophase axis between the first arrival line and the cut-off line, and quality control the up-going wave flattening effect;

[0023] The two-dimensional velocity modeling quality control is specifically as follows: quality control the VSP velocity effect from three dimensions: comparison of multi-well joint velocity curves, comparison of acoustic time-depth relationships, and comparison of VSP time-depth relationships.

[0024] Preferably, the imaging quality control is specifically as follows: directly compare the corridor stacking effect by two methods: manually selecting the cut-off line and automatically picking the cut-off line;

[0025] The bridge calibration quality control is specifically as follows: associate the surface seismic information, excision corridor, corridor stacking, logging curves, time and depth information to quality control the bridge calibration results.

[0026] Preferably, the velocity quality control is specifically as follows: jointly compare the VSP velocity with the formation burial depth and lithology, and qualitatively analyze the quality of the velocity results;

[0027] The Tar value quality control is specifically as follows: calculate the Tar value according to the VSP data, combine the Tar values of the surrounding wells for planar display, and qualitatively control the rationality of the Tar value results from the regional regularity;

[0028] The Q parameter quality control is specifically as follows: conduct qualitative comparative analysis by combining the Q parameter curve, lithology profile, and logging curves to quality control the rationality of the Q parameter.

[0029] A comprehensive quality control system for VSP processing and interpretation data includes:

[0030] The first quality control module: used to quality control the VSP preprocessing and first arrival picking;

[0031] The second quality control module: used to quality control the VSP signal processing results;

[0032] The third quality control module: used to quality control the VSP signal corridor stacking and imaging results;

[0033] The fourth quality control module: used to quality control the VSP comprehensive interpretation results;

[0034] The report output module: outputs a quality control report according to the quality control results of the four stages.

[0035] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. It is characterized in that when the processor executes the computer program, it implements the steps of a comprehensive quality control method for VSP processing and interpretation data.

[0036] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the steps of a comprehensive quality control method for VSP processing and interpretation data.

[0037] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a comprehensive quality control method for VSP processing and interpretation data, which respectively conducts quality control on the four major processes of VSP data preprocessing and first arrival picking, signal processing, corridor stacking and imaging, and VSP comprehensive interpretation, realizing remote quality control of VSP data; transferring the quality control work from the offline mode to the online mode; quantifying the quality control; the quality control report can be generated with one key, improving the flexibility and working efficiency of the quality control system and reducing the quality control cost. Brief Description of the Drawings

[0038] Figure 1 is the business process diagram of the VSP quality control system based on the cloud platform;

[0039] Figure 2 is the workflow diagram of the VSP quality control system based on the cloud platform;

[0040] Figure 3 is the schematic diagram of ensuring data security in the VPN hardware encryption mode;

[0041] Figure 4 is the online quality control flowchart based on the Web;

[0042] Figure 5 is the quality control operation batch processing flowchart;

[0043] Figure 6 is the flowchart of a comprehensive quality control method for VSP processed and interpreted data according to the present invention;

[0044] Figure 7 is the block diagram of a comprehensive quality control system for VSP processed and interpreted data according to the present invention. Detailed Description of the Preferred Embodiment

[0045] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. Components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0046] Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but is merely representative of selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of the present invention.

[0047] It should be noted that like reference numerals and letters denote like items in the following drawings, and thus, once an item is defined in one drawing, it need not be further defined and explained in subsequent drawings.

[0048] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper", "lower", "horizontal", "inner", etc. are used to indicate the orientation or positional relationship, it is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the invention is usually placed during use. This is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention. In addition, terms such as "first", "second", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0049] In addition, if the term "horizontal" appears, it does not mean that the component is required to be absolutely horizontal, but it can be slightly inclined. For example, "horizontal" only means that its direction is more horizontal relative to "vertical", and does not mean that the structure must be completely horizontal, but it can be slightly inclined.

[0050] In the description of the embodiments of the present invention, it should also be noted that unless otherwise clearly specified and limited, if terms such as "set", "installed", "connected", "connected" are used, they should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0051] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further introduced in detail below with reference to the drawings.

[0052] As Figure 6 shown, the present invention discloses a VSP processing and interpretation quality control method. According to the needs of scientific research personnel and in combination with the "Q / SY TZ0417 VSP Data Quality Control and Archiving Specification", starting from the goals of unified quality control standards and remote online quality control, key VSP algorithms such as peak and first arrival error, deconvolution effect analysis, event tracking algorithm, NMO Gamma value, velocity error analysis, calculation formula of DB spectrum, calculation method of Tar value, etc. are developed, and 12 modules with 26 quality control functions are constructed, providing a unified quality control standard for the four processes of the oilfield VSP processing and interpretation project, and ensuring the scientificity and reliability of the data quality control results.

[0053] According to the above quality control method, combined with the GeoEast-iEco data interpretation and processing platform, an integrated intelligent quality control platform for the web end is built based on the new distributed processing mode of VSP data. The project organization mode of VSP processing and interpretation has changed from multi-region closed-loop processing to distributed execution. According to the four processes and twelve quality control tasks in the whole process of VSP processing and interpretation, online intelligent quality control of VSP data processing, one-key online generation of quality inspection forms and quality control reports, and online operation of quality control projects are realized, and functions such as online management of three-level quality inspection are established to complete the integration and intelligence of the VSP processing and interpretation quality control process.

[0054] This quality control method and system provide a quality control process that meets the actual production needs for VSP quality control. Each step in the whole process is quality-controlled from multiple dimensions through qualitative and quantitative methods, and the quality control process is implemented based on the web end of the cloud platform. Specifically, the present invention is realized through the following technical solutions:

[0055] In the first aspect, the present invention discloses a comprehensive quality control method, including the following steps:

[0056] Obtain the user's quality control request, and perform corresponding quality inspections on the VSP processing and interpretation data in four processes according to the user's needs and associated data.

[0057] S101: Perform quality control on VSP preprocessing and first arrival picking

[0058] 1. VSP preprocessing

[0059] The observation system definition displays the original VSP records and the Z, X, and Y component records, and at the same time shows the observation system plan view to qualitatively control whether the display is correct; the three-component separation quality control checks whether the seismic data format in the well is correctly decoded; the Z-component front and back signal-to-noise ratio quality control qualitatively checks the suppression of noises such as borehole waves, casing waves, casing resonances, and cable waves, and quantitatively outputs the signal-to-noise ratio after noise suppression.

[0060] 2. First arrival picking

[0061] The picked first arrival curves are displayed on the VSP section, and the time difference distribution and error percentage between the first arrival picking and the wave crest position are quantitatively calculated.

[0062] S102: Perform quality control on the VSP signal processing results using amplitude compensation quality control, deconvolution quality control, and wavefield separation quality control

[0063] 3. Amplitude compensation quality control

[0064] As the seismic signal propagates over an increasing distance, its amplitude energy continuously attenuates. During the processing, spherical spreading amplitude compensation needs to be carried out based on the TAR value, and the shot amplitude consistency correction needs to be performed according to the first arrivals of the three components. By showing the profiles, energy curves, and spectral changes before and after amplitude compensation, the amplitude compensation effect is quality controlled.

[0065] 4. Deconvolution Quality Control

[0066] Deconvolution is a processing method to suppress multiples and improve the resolution of VSP records. By comparing the data, autocorrelation, and the difference in energy between the main lobe and side lobes before and after deconvolution, the deconvolution effect is quality controlled.

[0067] 5. Wavefield Separation Quality Control

[0068] Wavefield separation should preferably preserve the true wavefield. Display and calculate the original aligned Z - component record before wavefield separation, the final Z - component up - going wavefield, and the difference record between the two. Pick the in - phase axis on the final Z - component and calculate the signal - to - noise ratio within a certain time window to quality control the wavefield separation effect.

[0069] S103: Quality control the VSP signal corridor stack and imaging results using moveout quality control, 2D velocity modeling quality control, imaging quality control, and bridge calibration quality control

[0070] 6. Moveout Quality Control

[0071] Select the data after flattening the up - going wave, calculate the Gamma value of the in - phase axis between the first - arrival line and the cut - off line, and quality control the effect of flattening the up - going wave.

[0072] 7. 2D Velocity Modeling

[0073] Velocity modeling is the core issue to be solved in VSP processing and interpretation. Quality control the VSP velocity effect from three dimensions: the joint display of the surface imaging profile, corridor stack profile, and synthetic seismogram; comparison of multi - well joint velocity curves; comparison of the acoustic time - depth relationship and VSP time - depth relationship, etc., to ensure that a reasonable and usable velocity is obtained.

[0074] 8. Imaging Quality Control

[0075] Multiples are a common type of interference wave that seriously affects the effective information. To eliminate the multiple interference, it is necessary to carefully select the corridor stack cut - off range to ensure that the area containing multiple reflections is cut off, and then perform stacking. Directly compare the corridor stack effects through two methods: manually selecting the cut - off line and automatically picking the cut - off line.

[0076] 9. Bridge Calibration Quality Control

[0077] Accurate bridge calibration is the key to ensuring reliable structural interpretation and the basis for fine reservoir interpretation. Link ground seismic information, excision corridors, corridor stacks, and well logs to relate time and depth information, and quality control the bridge calibration results.

[0078] S104: Quality control the VSP comprehensive interpretation results using velocity quality control, Tar value quality control, and Q parameter quality control

[0079] 10. Velocity quality control

[0080] The velocity obtained from VSP processing and interpretation is one of the important results expected by users. Combine the VSP velocity with formation burial depth and lithology for joint comparison to qualitatively analyze the quality of the velocity results.

[0081] 11. Tar value quality control

[0082] Calculate the Tar value based on VSP data and the formula, and perform planar display in combination with the Tar values of surrounding wells to qualitatively control the rationality of the Tar value results from the regional regularity.

[0083] 12. Q parameter quality control

[0084] Performing inverse Q filtering on seismic data using Q parameters can eliminate the influence of formation absorption attenuation. The higher the accuracy of the Q value, the better the improvement effect on the accuracy of seismic data. Combine the Q parameter curve, lithology profile, and well log for qualitative comparative analysis to quality control the rationality of the Q parameter.

[0085] S105: Generate a quality control report based on the quality control output of the four stages

[0086] Secondly, the quality control system of the present invention applied to the cloud platform can be applied to the integrated process of seismic data quality control. The process design is as follows:

[0087] 1. Project establishment: Determine the scope, objectives, and requirements of the quality control task;

[0088] 2. Associated data sources: Associate the data sources with the quality control system for subsequent data processing and quality control operations;

[0089] 3. Data preview: Preprocess the data, including data cleaning, duplicate removal, format conversion, etc.;

[0090] 4. Quality control operation: Design and create quality control operations according to the requirements of project establishment, including quality control standards, quality control methods, quality control indicators, etc.;

[0091] 5. Operation monitoring: Monitor the execution of quality control operations, and promptly discover and handle abnormal situations;

[0092] 6. Online quality inspection: Conduct quality inspections on the data through online quality inspection tools, and promptly discover and handle quality problems;

[0093] 7. Quality control report: Generate a quality control report based on the quality control operations and online quality inspection results, including data quality assessment, problem list, handling suggestions, etc.;

[0094] 8. Project overview: Maintain relevant information of the project, including project overview, quality control progress, quality control achievements, etc.;

[0095] 9. Project establishment: End the current quality control task and enter the next quality control task.

[0096] The present invention also provides a quality control system based on a cloud platform, which can be applied to the integrated process of seismic data quality control.

[0097] The system includes a global control module, a request and feedback module, a test environment template library, a cloud software test environment module, a test environment dynamic scheduling module, and a test environment resource monitoring module. The system operation process includes the following steps: First, conduct project establishment to determine the scope, objectives, and requirements of the quality control task. Then, associate the data source with the quality control system for subsequent data processing and quality control operations. Next, preprocess the data, including data cleaning, deduplication, format conversion, etc. According to the requirements of project establishment, design and create quality control operations, including quality control standards, quality control methods, quality control indicators, etc. Monitor the quality control operations to promptly detect and handle abnormal situations. Conduct quality inspection on the data through an online quality inspection tool to promptly detect and handle quality problems. Generate a quality control report based on the quality control operations and online quality inspection results, including data quality assessment, problem list, handling suggestions, etc. Maintain relevant information of the project, including project overview, quality control progress, quality control achievements, etc. Finally, end the current quality control task and enter the next quality control task. This quality control system utilizes the cloud software test environment module to implement an automated quality control process, and realizes the load balancing and resource management of the quality control system through the test environment dynamic scheduling module and the test environment resource monitoring module, improving the efficiency and reliability of the quality control process.

[0098] As Figure 7 shown, the present invention also provides a comprehensive quality control system for VSP processing and interpretation data, including:

[0099] The first quality control module: Used to conduct quality control on VSP preprocessing and first arrival picking;

[0100] The second quality control module: Used to conduct quality control on the results of VSP signal processing;

[0101] The third quality control module: Used to conduct quality control on the VSP signal corridor stacking and imaging results;

[0102] The fourth quality control module: Used to conduct quality control on the VSP comprehensive interpretation results;

[0103] Report Output Module: Output a quality control report based on the quality control results of the four stages.

[0104] Problems Encountered in the Practical Application of the Invention and Solutions

[0105] Case 1: Deploying the VPN Hardware Encryption Mode to Ensure the Security of Remote Online Quality Control Data

[0106] In the remote online quality control scenario, Party A's company needs to securely access Party B's company's internal quality control platform server and Geoeast server. Due to the large amount of data, it cannot be quickly copied to Party A's environment, and data security also needs to be considered. To meet this requirement, the VPN hardware encryption mode is adopted for data login verification and encrypted protection of access transmission. In this embodiment, Party B's company deploys a VPN router on the public network IP to quickly meet the need for remote users to access Party B's company's internal network. Whether it is a mobile terminal or other regional LAN users, they can access through the PPTP / L2TP protocol. This method encrypts data transmission, ensuring that Party A's employees can directly enter Party B's company's internal network quality control platform server to participate in collaborative work. For example, in this embodiment, Party A's quality inspectors need to access Party B's company's quality control platform remotely. They can securely connect to Party B's company's internal network through the VPN router and access the internal quality control platform server and Geoeast server. In this way, both Party A and Party B can carry out efficient remote online quality control work in a secure network environment, ensuring the security and integrity of data. Specifically, as shown in the appendix Figure 3 as follows.

[0107] Case 2: Web-Based Online Quality Control

[0108] To avoid the relocation of a large amount of seismic data, a VSP seismic processing intelligent quality control platform based on GeoEast-iEco and HTML5 technologies is developed, which greatly improves the quality control efficiency and user experience.

[0109] Users can create a quality control project, freely select quality control points, and perform quality control process operations for each quality control point; create jobs for each quality control point, schedule GeoEast jobs online, and generate results according to preset algorithms; then perform online interactive data quality control on the results generated by the jobs to achieve data quality control inspection from both quantitative / qualitative aspects; finally, summarize the quality control results of each quality control point to generate a quality control report for the entire project. Specifically, as shown in the appendix Figure 4 as follows.

[0110] Case 3: High-Performance Concurrent Job Scheduling and Processing Based on GeoEast

[0111] The conventional processing cluster software has relatively simple and single functions, easy resource allocation conflicts, insufficient resource utilization, and slow job running. The software design pattern does not support remote quality control. To solve the above problems, a high-performance concurrent job scheduling and processing quality control framework based on GeoEast was developed and designed.

[0112] Through a unified scheduling software, resources are reasonably allocated to various different batch processing jobs to improve the job running efficiency. A unified scheduling software is established using different conventional processing clusters to reasonably allocate resources to various different batch processing jobs. Based on the parallel framework, the jobs are decomposed according to tasks and data and scheduled to different processing nodes for concurrent processing, and the merging operation is performed on the local output results on different nodes.

[0113] The high-performance concurrent job scheduling and processing VSP seismic data quality control framework is a concurrent batch processing system based on the Map-reduce model. To support the rapid analysis and calculation of seismic data with huge storage capacity, based on the parallel framework, the Map-reduce model is adopted. The jobs are decomposed according to tasks and data and scheduled to different processing nodes for concurrent processing, and the merging operation is performed on the local output results on different nodes. Through the Map-reduce model, the execution efficiency of the backend batch processing jobs can be greatly improved. Through the job scheduling and management interface, the front-end interface can flexibly implement job sending and quality control algorithm control by customizing parameters. Through the scheduling system, the automatic scheduling and management service of jobs is realized. Finally, based on the job scheduling system, a front-end quality control batch processing system is developed, and the integrated management of parameter configuration, operation mode, and status monitoring of quality control batch processing jobs is realized in the quality control system. The specific schematic diagram is as shown in the appendix Figure 5 shown.

[0114] The terminal device provided by an embodiment of the present invention. The terminal device of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned various method embodiments are implemented. Alternatively, when the processor executes the computer program, the functions of each module / unit in the above-mentioned various device embodiments are implemented.

[0115] The computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention.

[0116] The terminal device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory.

[0117] The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0118] The memory can be used to store the computer program and / or modules. By running or executing the computer program and / or modules stored in the memory, and by invoking the data stored in the memory, the processor implements various functions of the terminal device.

[0119] If the modules / units integrated in the terminal device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above method embodiments of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0120] Although the embodiments of the present invention have been described above in conjunction with the accompanying drawings, the present invention is not limited to the above specific embodiments and application fields. The above specific embodiments are merely illustrative and guiding, rather than restrictive. Under the inspiration of the specification, those of ordinary skill in the art can also make many forms without departing from the scope protected by the claims of the present invention, and all of these fall within the scope of protection of the present invention.

Claims

1. A comprehensive quality control method for VSP processed and interpreted data, characterized in that, Including: Conduct quality control on VSP preprocessing and first arrival picking; Conduct quality control on the processing results of VSP signals using amplitude compensation quality control, deconvolution quality control, and wavefield separation quality control; Conduct quality control on the corridor stacking and imaging results of VSP signals using NMO quality control, 2D velocity modeling quality control, imaging quality control, and bridge calibration quality control; Conduct quality control on the comprehensive interpretation results of VSP using velocity quality control, Tar value quality control, and Q parameter quality control; Output a quality control report according to the quality control results of the four stages; Among them, the quality control results of the four stages adopt a unified output code.

2. The comprehensive quality control method for VSP processed and interpreted data according to claim 1, wherein Conducting quality control on VSP preprocessing and first arrival picking specifically includes: Use the acquisition system definition to display the original VSP records and the Z, X, and Y component records, and at the same time display the acquisition system plan view to qualitatively control whether the display is correct; Conduct three-component separation quality control to check whether the wellbore seismic data format is correctly decoded; Conduct qualitative quality control on the suppression of borehole waves, casing waves, casing resonances, and cable wave noises before and after the Z component, and quantitatively output the signal-to-noise ratio after noise suppression; Display the picked first arrival curve on the VSP section, and quantitatively calculate the time difference distribution and error percentage between the first arrival picking and the wave crest position.

3. A comprehensive quality control method for VSP processed and interpreted data according to claim 1, characterized in that, The amplitude compensation quality control specifically includes: showing the section, energy curve, and spectrum changes before and after amplitude compensation, and controlling the amplitude compensation effect; 4. A comprehensive quality control method for VSP processed and interpreted data according to claim 1, characterized in that, The deconvolution quality control specifically includes: comparing the data, autocorrelation, and the difference in energy between the main lobe and side lobes before and after deconvolution, and controlling the deconvolution effect; The wavefield separation quality control specifically includes: picking along the isophase axis on the final Z component and calculating the signal-to-noise ratio within a certain time window to control the wavefield separation effect.

5. A comprehensive quality control method for VSP processing and interpreting data according to claim 1, characterized in that, The NMO quality control specifically includes: selecting the data after flattening the upgoing wave, calculating the Gamma value of the isophase axis between the first arrival line and the cut-off line, and controlling the upgoing wave flattening effect; The 2D velocity modeling quality control specifically includes: conducting quality control on the VSP velocity effect from three dimensions: comparing the multi-well combined velocity curves, comparing the acoustic time-depth relationship and the VSP time-depth relationship.

6. A comprehensive quality control method for VSP processed interpretation data according to claim 1, characterized in that, The imaging quality control specifically includes: directly comparing the corridor stacking effect by manually selecting the cut-off line and automatically picking the cut-off line; The bridge calibration quality control specifically includes: relating the surface seismic information, cut-off corridor, corridor stacking, logging curves, time, and depth information to control the bridge calibration results.

7. A comprehensive quality control method for VSP processed and interpreted data according to claim 1, characterized in that The velocity quality control specifically includes: jointly comparing the VSP velocity with the formation burial depth and lithology, and qualitatively analyzing the quality of the velocity results; The Tar value quality control specifically includes: calculating the Tar value according to the VSP data, making a planar display in combination with the Tar values of surrounding wells, and qualitatively controlling the rationality of the Tar value results from the regional regularity; The Q parameter quality control specifically includes: conducting qualitative comparative analysis in combination with the Q parameter curve, lithology profile, and logging curve to control the rationality of the Q parameter.

8. An integrated quality control system for VSP processed and interpreted data, characterized in that, Including: The first quality control module: used to conduct quality control on VSP preprocessing and first arrival picking; The second quality control module: used to conduct quality control on the processing results of VSP signals; The third quality control module: used to conduct quality control on the corridor stacking and imaging results of VSP signals; The fourth quality control module: used to conduct quality control on the comprehensive interpretation results of VSP; The report output module: outputs a quality control report according to the quality control results of the four stages.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of a comprehensive quality control method for VSP processing and interpreting data as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, the steps of a comprehensive quality control method for VSP processing and interpreting data as described in any one of claims 1 to 7 are implemented.

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