Gas-bearing property prediction method and device for reef beach facies reservoir, electronic equipment and medium

Abstract

The invention discloses a method and a device for predicting the gas content of a reef beach facies reservoir, electronic equipment and a medium. The method can comprise the following steps: performing optimization processing on a pre-stack gather, and further performing partial angle superposition to obtain a plurality of superposition bodies; performing single well reservoir and non-reservoir section frequency spectrum attenuation analysis based on the plurality of superposition bodies; performing angle optimization and spectrum decomposition according to a spectrum feature analysis result to obtain a time-frequency spectrum of each superposition body; and extracting high-frequency attenuation gradient attributes of different superposition bodies according to the time-frequency spectrum, and detecting the gas-bearing characteristics of the reservoir. According to the method, starting from the pre-stack gather data, through gather optimization processing, single well analysis, angle optimization and other means, the applicability problem of the attenuation attribute in the reef facies reservoir gas-bearing prediction is solved, and the reef facies reservoir gas-bearing prediction precision is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of oil and gas geophysical exploration, and more specifically, to a method, device, electronic equipment and medium for predicting the gas content of a reef-shoal phase reservoir. Background Art

[0002] Reef-shoal carbonate oil and gas reservoirs are one of the important oil and gas reservoir types in the world. my country has successively discovered large and medium-sized gas fields such as Dukouhe, Tieshanpo, Luojiazhai, Puguang, Heba, Longgang, and Yuanba. The main development strata of the gas fields are the Changxing Formation-Feixianguan Formation and Jialingjiang Formation. The sedimentary environment is the edge of the carbonate platform, and the reservoir is reef-shoal carbonate. The reef-shoal bodies are dispersed, the reservoirs are highly heterogeneous, the gas-water relationship is extremely complex, and there is no unified gas-water interface. It belongs to one reef or one beach one gas reservoir. In general, it is relatively difficult to predict the gas content of reef-shoal reservoirs.

[0003] There are two main methods for predicting gas content. One is the fluid factor prediction technology based on elastic parameters, that is, obtaining the fluid factor characterizing the gas-bearing reservoir through rock physical analysis, and then calculating the fluid factor by obtaining the relevant elastic parameters through inversion method; the other is the sensitive attenuation attribute prediction technology based on seismic data, which directly obtains the attenuation attribute characterizing the gas-bearing reservoir from the seismic data. At present, the first method is mostly used for predicting the gas content of reef-shoal reservoirs, and the second method is mostly based on post-stack data, so the prediction accuracy is not high. A small number of methods based on pre-stack data lack systematic analysis and quality control processes, and are greatly affected by the quality of the gathers, resulting in the low applicability of the sensitive attenuation attribute prediction technology based on seismic data in predicting the gas content of reef-shoal reservoirs.

[0004] At present, there is still a need to develop a method for predicting the gas content of reef-shoal reservoirs.

[0005] The information disclosed in the background technology section of the present invention is only intended to deepen the understanding of the general background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The present invention proposes a method, device, electronic equipment and medium for predicting the gas content of reef-shoal reservoirs. Starting from pre-stack gather data, the applicability problem of attenuation attributes in the prediction of gas content of reef-shoal reservoirs is solved through gather optimization processing, single well analysis, angle optimization and other means, thereby effectively improving the accuracy of gas content prediction of reef-shoal reservoirs.

[0007] In a first aspect, an embodiment of the present disclosure provides a method for predicting gas content of a reef-shoal facies reservoir, comprising:

[0008] Optimize the pre-stack gathers and then perform partial angle stacking to obtain multiple stacking bodies;

[0009] Conduct spectrum attenuation analysis of single well reservoir and non-reservoir segments based on multiple stacks;

[0010] According to the results of spectrum feature analysis, angle optimization and spectrum decomposition are performed to obtain the time-frequency spectrum of each superposition body;

[0011] The high-frequency attenuation gradient properties of different superposition bodies are extracted according to the time-frequency spectrum to detect the gas-bearing characteristics of the reservoir.

[0012] As a specific implementation method of the embodiment of the present disclosure, the optimization processing includes denoising processing, time difference correction and super channel processing.

[0013] As a specific implementation of the embodiment of the present disclosure, performing partial angle superposition includes:

[0014] Partial angle stacking is performed on the optimized gathers, and they are stacked into multiple stacking bodies according to the maximum angle range of the gathers.

[0015] As a specific implementation of the embodiment of the present disclosure, performing spectrum attenuation analysis of a single well reservoir and non-reservoir segment based on multiple stacks includes:

[0016] Determine typical wells for fine calibration of synthetic records, and locate the time range corresponding to the reservoir and non-reservoir layers on the wells;

[0017] Taking the well location as the center, the horizontal and vertical survey lines are expanded by 20 lines each to generate a small three-dimensional image around the well;

[0018] The frequency spectrum characteristics of the data within the time range are analyzed based on multiple stacks to check the differences in frequency spectrum characteristics between the reservoir segment and the non-reservoir segment of stacks at different angles.

[0019] As a specific implementation of the embodiment of the present disclosure, the spectrum decomposition includes:

[0020] The optimal angle stacking range is determined, and a high-precision matching pursuit algorithm is used to perform spectrum decomposition on each angle stacking body to obtain the time-frequency spectrum of each stacking body.

[0021] As a specific implementation of the embodiment of the present disclosure, it also includes:

[0022] By comparing and analyzing the high-frequency attenuation gradient attribute characteristics of stacked bodies at different angles and performing differentiated processing, the ability to predict gas content can be enhanced.

[0023] In a second aspect, the disclosed embodiment further provides a gas-bearing property prediction device for a reef-shoal facies reservoir, comprising:

[0024] The stacking module optimizes the pre-stack gathers and then performs partial angle stacking to obtain multiple stacking bodies.

[0025] Analysis module, which performs spectrum attenuation analysis of single well reservoir and non-reservoir segments based on multiple stacks;

[0026] The optimization module performs angle optimization and spectrum decomposition based on the spectrum feature analysis results to obtain the time-frequency spectrum of each superposition body;

[0027] The detection module extracts high-frequency attenuation gradient properties of different superposition bodies according to the time-frequency spectrum to detect gas-bearing characteristics of the reservoir.

[0028] As a specific implementation method of the embodiment of the present disclosure, the optimization processing includes denoising processing, time difference correction and super channel processing.

[0029] As a specific implementation of the embodiment of the present disclosure, performing partial angle superposition includes:

[0030] Partial angle stacking is performed on the optimized gathers, and they are stacked into multiple stacking bodies according to the maximum angle range of the gathers.

[0031] As a specific implementation of the embodiment of the present disclosure, performing spectrum attenuation analysis of a single well reservoir and non-reservoir segment based on multiple stacks includes:

[0032] Determine typical wells for fine calibration of synthetic records, and locate the time range corresponding to the reservoir and non-reservoir layers on the wells;

[0033] With the well location as the center, the horizontal and vertical survey lines are expanded by 20 lines each to generate a small three-dimensional image around the well; the spectral characteristics of the data within the time range are analyzed based on multiple stacks to check the differences in spectral characteristics between the reservoir section and the non-reservoir section of stacks at different angles.

[0034] As a specific implementation of the embodiment of the present disclosure, the spectrum decomposition includes:

[0035] The optimal angle stacking range is determined, and a high-precision matching pursuit algorithm is used to perform spectrum decomposition on each angle stacking body to obtain the time-frequency spectrum of each stacking body.

[0036] As a specific implementation of the embodiment of the present disclosure, it also includes:

[0037] By comparing and analyzing the high-frequency attenuation gradient attribute characteristics of stacked bodies at different angles and performing differentiated processing, the ability to predict gas content can be enhanced.

[0038] In a third aspect, an embodiment of the present disclosure further provides an electronic device, the electronic device comprising:

[0039] A memory storing executable instructions;

[0040] A processor runs the executable instructions in the memory to implement the gas content prediction method of the reef-shoal facies reservoir.

[0041] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for predicting the gas content of the reef-shoal facies reservoir.

[0042] Its beneficial effects are:

[0043] The present invention establishes a series of technologies for pre-stack gather optimization processing and partial angle stacking - spectrum attenuation analysis of single well reservoir and non-reservoir segments - angle optimization and spectrum decomposition of data at different angles - extraction of attenuation gradient attributes with angle changes. This can specifically solve the problems of low accuracy of post-stack attenuation attributes in the prediction of gas content in reef-shoal facies reservoirs, great influence of pre-stack attenuation attributes on gather quality, and lack of systematic analysis and quality control. This method avoids the blind application of attenuation attributes, strengthens objective analysis and quality control, and can effectively improve the accuracy of gas content prediction in reef-shoal facies reservoirs.

[0044] The methods and apparatus of the present invention have other features and advantages that will be apparent from, or will be described in detail in, the accompanying drawings and subsequent detailed descriptions incorporated herein, which together serve to explain the specific principles of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The above and other objects, features and advantages of the present invention will become more apparent through a more detailed description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, wherein like reference numerals generally represent like components throughout the exemplary embodiments of the present invention.

[0046] Figure 1 A flow chart showing the steps of a method for predicting gas content of a reef-shoal reservoir according to an embodiment of the present invention.

[0047] Figure 2a , Figure 2b , Figure 2c , Figure 2d Schematic diagrams of an original gather, a denoised gather, a flattened gather and a super gather according to an embodiment of the present invention are respectively shown.

[0048] Figure 3 A schematic diagram of typical well synthetic log calibration according to an embodiment of the present invention is shown.

[0049] Figure 4a , Figure 4b , Figure 4cSchematic diagrams of spectrum analysis of a gas-bearing layer segment, a water-bearing layer segment and a non-reservoir segment according to an embodiment of the present invention are respectively shown.

[0050] Figure 5a , Figure 5b , Figure 5c Schematic diagrams of a small-angle stack, a large-angle stack, and differential processing of high-frequency attenuation gradient properties according to an embodiment of the present invention are respectively shown.

[0051] Figure 6 A block diagram of a device for predicting gas content of a reef-shoal facies reservoir according to an embodiment of the present invention is shown.

[0052] Description of reference numerals:

[0053] 201, superposition module; 202, analysis module; 203, optimization module; 204, detection module. DETAILED DESCRIPTION

[0054] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0055] To facilitate understanding of the solutions and effects of the embodiments of the present invention, six specific application examples are given below. Those skilled in the art should understand that the examples are only for facilitating understanding of the present invention, and any specific details thereof are not intended to limit the present invention in any way.

[0056] Example 1

[0057] Figure 1 A flow chart showing the steps of a method for predicting gas content of a reef-shoal reservoir according to an embodiment of the present invention.

[0058] like Figure 1 As shown, the method for predicting the gas content of the reef-shoal facies reservoir includes: step 101, optimizing the pre-stack gathers, and then performing partial angle stacking to obtain multiple stacks; step 102, performing spectrum attenuation analysis of single-well reservoir and non-reservoir segments based on the multiple stacks; step 103, performing angle optimization and spectrum decomposition according to the spectrum feature analysis results to obtain the time-frequency spectrum of each stack; step 104, extracting the high-frequency attenuation gradient attributes of different stacks according to the time-frequency spectrum to detect the gas-bearing characteristics of the reservoir.

[0059] In one example, the optimization process includes denoising, time difference correction, and super channel processing.

[0060] In one example, performing a partial angle overlay includes:

[0061] Partial angle stacking is performed on the optimized gathers, and they are stacked into multiple stacking bodies according to the maximum angle range of the gathers.

[0062] In one example, performing spectrum attenuation analysis of reservoir and non-reservoir segments of a single well based on multiple stacks includes:

[0063] Determine typical wells for fine calibration of synthetic records, and locate the time range corresponding to the reservoir and non-reservoir layers on the wells;

[0064] Taking the well location as the center, the horizontal and vertical survey lines are expanded by 20 lines each to generate a small three-dimensional image around the well;

[0065] Based on multiple stacking bodies, the spectral characteristics of the data within the time range are analyzed to check the differences in spectral characteristics between the reservoir segment and the non-reservoir segment of stacking bodies at different angles.

[0066] In one example, spectral decomposition includes:

[0067] The optimal angle stacking range is determined, and a high-precision matching pursuit algorithm is used to perform spectrum decomposition on each angle stacking body to obtain the time-frequency spectrum of each stacking body.

[0068] In one example, it also includes:

[0069] By comparing and analyzing the high-frequency attenuation gradient attribute characteristics of stacked bodies at different angles and performing differentiated processing, the ability to predict gas content can be enhanced.

[0070] Specifically, in order to solve the problems that the prediction accuracy of post-stack attenuation attributes in the prediction of gas content in reef-shoal reservoirs is not high, the prediction of pre-stack attenuation attributes lacks a systematic analysis and quality control process, and is greatly affected by the quality of the gathers, the present invention improves the quality of the gathers by optimizing the pre-stack gathers, and at the same time performs spectral attenuation analysis on the reservoirs and non-reservoir sections of different wells. Based on the analysis, the angle range is optimized and spectral decomposition is performed, and finally the attenuation attributes that change with the angle are extracted.

[0071] Taking the pre-stack angle gather as an example, gather optimization processing is first performed, including denoising, time difference correction and super-channel processing. The above processing improves the signal-to-noise ratio of the original gather, eliminates the residual time difference of the original gather, corrects the amplitude anomaly problem, and makes it more satisfactory for the data requirements of gas content prediction. Then, partial angle stacking is performed on the optimized gather, and it is stacked into 4 stacking bodies according to the maximum angle range of the gather.

[0072] Select typical wells in the study area for fine calibration of synthetic records to accurately locate the time range corresponding to the reservoir and non-reservoir on the well. Then, with the well location as the center, expand 20 lines in each horizontal and vertical survey line to generate a small three-dimensional well periphery. For subsequent spectrum analysis, in order to highlight the attenuation characteristics of the data in three-dimensional space, select and analyze the spectrum of the small three-dimensional well periphery of each partial angle stack, so as to clarify the difference in spectrum characteristics between the reservoir segment and the non-reservoir segment of the stack at different angles. Analyze the spectrum characteristics of the data in this range based on the generated stack, and check the difference in spectrum characteristics between the reservoir segment and the non-reservoir segment of the stack at different angles.

[0073] According to the results of spectrum feature analysis, the angle is optimized. After optimization, the spectrum features of the reservoir section of the stack bodies at different angles are greatly different, while the spectrum features of the non-reservoir section are small. After determining the optimal angle stacking range, the high-precision matching pursuit algorithm is used to perform spectrum decomposition on each angle stack body to obtain the time-frequency spectrum of each stack body.

[0074] When there is gas in the reservoir, the high-frequency energy attenuation of the seismic wave is greater than the low-frequency energy attenuation. Therefore, extracting the high-frequency attenuation gradient attributes of different stacks can detect the gas-bearing characteristics of the reservoir. By comparing and analyzing the high-frequency attenuation gradient attribute characteristics of stacks at different angles and performing differentiated processing, the gas-bearing prediction capability can be enhanced.

[0075] Example 2

[0076] The present invention also provides a gas-bearing property prediction device for a reef-shoal facies reservoir, comprising:

[0077] The stacking module optimizes the pre-stack gathers and then performs partial angle stacking to obtain multiple stacking bodies.

[0078] In one example, the optimization process includes denoising, time difference correction, and super channel processing.

[0079] In one example, performing a partial angle overlay includes:

[0080] Partial angle stacking is performed on the optimized gathers, and they are stacked into multiple stacking bodies according to the maximum angle range of the gathers.

[0081] Specifically, taking the pre-stack angle gather as an example, gather optimization processing is first performed, including denoising, time difference correction and super-channel processing. The above processing improves the signal-to-noise ratio of the original gather, eliminates the residual time difference of the original gather, corrects the amplitude anomaly problem, and makes it more satisfactory for the data requirements of gas content prediction. Then, partial angle stacking is performed on the optimized gather, and it is stacked into 4 stacking bodies according to the maximum angle range of the gather.

[0082] Analysis module, which performs spectrum attenuation analysis of single well reservoir and non-reservoir segments based on multiple stacks;

[0083] In one example, performing spectrum attenuation analysis of reservoir and non-reservoir segments of a single well based on multiple stacks includes:

[0084] Determine typical wells for fine calibration of synthetic records, and locate the time range corresponding to the reservoir and non-reservoir layers on the wells;

[0085] Taking the well location as the center, the horizontal and vertical survey lines are expanded by 20 lines each to generate a small three-dimensional image around the well;

[0086] Based on multiple stacking bodies, the spectral characteristics of the data within the time range are analyzed to check the differences in spectral characteristics between the reservoir segment and the non-reservoir segment of stacking bodies at different angles.

[0087] Specifically, typical wells in the study area are selected for fine calibration of synthetic records to accurately locate the time range corresponding to the reservoir and non-reservoir on the well. Then, with the location of the well as the center, 20 lines are expanded in each horizontal and vertical survey line to generate a small three-dimensional well periphery. For subsequent spectrum analysis, in order to highlight the attenuation characteristics of the data in three-dimensional space, the spectrum of the small three-dimensional well periphery of each partial angle stack is selected for analysis, so as to clarify the differences in spectrum characteristics between the reservoir segment and the non-reservoir segment of the stack at different angles. The spectrum characteristics of the data in this range are analyzed based on the generated stack to check the differences in spectrum characteristics between the reservoir segment and the non-reservoir segment of the stack at different angles.

[0088] The optimization module performs angle optimization and spectrum decomposition based on the spectrum feature analysis results to obtain the time-frequency spectrum of each superposition body;

[0089] In one example, spectral decomposition includes:

[0090] The optimal angle stacking range is determined, and a high-precision matching pursuit algorithm is used to perform spectrum decomposition on each angle stacking body to obtain the time-frequency spectrum of each stacking body.

[0091] Specifically, the angle is optimized according to the results of spectrum feature analysis. After optimization, the spectrum features of the reservoir section of the stack bodies at different angles are greatly different, while the spectrum features of the non-reservoir section are small. After determining the optimal angle stacking range, the high-precision matching pursuit algorithm is used to perform spectrum decomposition on each angle stack body to obtain the time-frequency spectrum of each stack body.

[0092] The detection module extracts the high-frequency attenuation gradient properties of different superposition bodies according to the time-frequency spectrum and detects the gas-bearing characteristics of the reservoir.

[0093] Specifically, when there is gas in the reservoir, the high-frequency energy attenuation of the seismic wave is greater than the low-frequency energy attenuation. Therefore, extracting the high-frequency attenuation gradient attributes of different stacks can detect the gas-bearing characteristics of the reservoir. By comparing and analyzing the high-frequency attenuation gradient attribute characteristics of stacks at different angles and performing differentiated processing, the gas-bearing prediction capability can be enhanced.

[0094] Example 3

[0095] Taking the data of a certain actual gas field as an example, the reservoir in the study area is a typical reef-shoal carbonate rock, and the study strata are the first and second members of the Feixianguan Formation.

[0096] Figure 2a , Figure 2b , Figure 2c , Figure 2d Schematic diagrams of an original gather, a denoised gather, a flattened gather and a super gather according to an embodiment of the present invention are respectively shown.

[0097] Figure 3 A schematic diagram of typical well synthetic log calibration according to an embodiment of the present invention is shown.

[0098] Figure 4a , Figure 4b , Figure 4c Schematic diagrams of spectrum analysis of a gas-bearing layer segment, a water-bearing layer segment and a non-reservoir segment according to an embodiment of the present invention are respectively shown.

[0099] Figure 5a , Figure 5b , Figure 5c Schematic diagrams of a small-angle stack, a large-angle stack, and differential processing of high-frequency attenuation gradient properties according to an embodiment of the present invention are respectively shown.

[0100] Firstly, the original gathers are optimized, and the optimization process includes denoising, flattening and super gather processing. Figure 2a-2d This is a comparison of the original wellside gather, denoised gather, flattened gather and super gather of a typical well in the study area. It can be seen from the figure that the quality of the gather is significantly improved after optimization processing. Not only the signal-to-noise ratio is improved, the residual time difference is basically eliminated, the amplitude energy is more focused, and the consistency of the coinciding axis is better, which meets the data needs of subsequent work. After the optimization processing is completed, the optimized gather is partially angle stacked. According to the maximum angle of the gather (24 degrees), the partial angle stacking range is determined to be 1-6 degrees, 7-12 degrees, 13-18 degrees, and 19-24 degrees, and 4 partial angle stacking bodies are obtained. Then, typical wells in the study area are selected for fine calibration of synthetic records. The calibration results are shown as follows. Figure 3 As shown. According to the logging interpretation results, the time range of the gas-bearing layer section, water-bearing layer section and non-reservoir section on the well is located, and 2620-2650ms is selected as the analysis time window of the gas-bearing layer section, 2660-2690ms is selected as the analysis time window of the water-bearing layer section, and 2720-2750ms is selected as the analysis time window of the non-reservoir section. With the well location as the center, 20 lines are expanded in the horizontal and vertical survey lines respectively to generate a small three-dimensional well perimeter. The spectrum analysis of the previous four partial angle stacks is performed, as shown in Figure 4a-4cAs shown in the figure, it can be seen that the frequency spectrum of the gas-bearing layer section of the stacked bodies at different angles is the most different, the difference in the water-bearing layer section is relatively small, and there is basically no difference in the non-reservoir section. Therefore, it shows that the attenuation characteristics of stacked bodies at different angles are obviously different, and the angle stacking range is reasonably divided, so there is no need to optimize the angle. Next, the high-precision matching pursuit algorithm is used to perform spectral decomposition on the four angle stacked bodies to obtain the time-frequency spectrum of each stacked body, and then further extract the high-frequency attenuation gradient attributes. Figure 5a It is a small angle (1-6 degrees) superposition body high frequency attenuation gradient attribute. Figure 5b It is the high-frequency attenuation gradient attribute of the large-angle (19-24 degree) stack. From the circled part in the figure, it can be seen that the gas reservoir has stronger attenuation at large angles than at small angles, while the difference between the non-reservoir and water layer is small, which is consistent with the characteristics of the well. Finally, the high-frequency attenuation gradient attributes of the small-angle and large-angle stacks are differentiated. The results are as follows Figure 5c As shown in the figure, the attenuation gradient attribute results of the circled part are more consistent with the wellbore, and the accuracy of gas content prediction is further improved.

[0101] Through the application of this method, the original gathers were effectively optimized and the gather quality was improved. At the same time, the well was analyzed to clarify the partial angle superposition range of the gathers. The attenuation properties that vary with angle were extracted based on the spectrum decomposition, which improved the prediction accuracy of gas content in reef-shoal reservoirs.

[0102] The main purpose of the present invention is to solve the problem that the post-stack attenuation attribute has low accuracy in predicting the gas content of reef-shoal facies reservoirs, while the pre-stack attenuation attribute is greatly affected by the quality of the gather and lacks systematic analysis and quality control. The present invention has obvious gas content prediction effect, and the quality control analysis means are comprehensive and reasonable, which can be promoted and applied in different reef-shoal facies reservoir areas.

[0103] Example 4

[0104] Figure 6 A block diagram of a device for predicting gas content of a reef-shoal facies reservoir according to an embodiment of the present invention is shown.

[0105] like Figure 6 As shown, the gas-bearing property prediction device of the reef-shoal reservoir includes:

[0106] A stacking module 201 performs optimization processing on pre-stack gathers, and then performs partial angle stacking to obtain multiple stacking bodies;

[0107] Analysis module 202, performing spectrum attenuation analysis of single well reservoir and non-reservoir segments based on multiple stacks;

[0108] The optimization module 203 performs angle optimization and spectrum decomposition according to the spectrum feature analysis results to obtain the time-frequency spectrum of each superposition body;

[0109] The detection module 204 extracts high-frequency attenuation gradient properties of different superposition bodies according to the time-frequency spectrum to detect gas-bearing characteristics of the reservoir.

[0110] As a specific implementation method of the embodiment of the present disclosure, the optimization processing includes denoising processing, time difference correction and super channel processing.

[0111] As a specific implementation of the embodiment of the present disclosure, performing partial angle superposition includes:

[0112] Partial angle stacking is performed on the optimized gathers, and they are stacked into multiple stacking bodies according to the maximum angle range of the gathers.

[0113] As a specific implementation of the embodiment of the present disclosure, performing spectrum attenuation analysis of a single well reservoir and non-reservoir segment based on multiple stacks includes:

[0114] Determine typical wells for fine calibration of synthetic records, and locate the time range corresponding to the reservoir and non-reservoir layers on the wells;

[0115] Taking the well location as the center, the horizontal and vertical survey lines are expanded by 20 lines each to generate a small three-dimensional image around the well;

[0116] Based on multiple stacking bodies, the spectral characteristics of the data within the time range are analyzed to check the differences in spectral characteristics between the reservoir segment and the non-reservoir segment of stacking bodies at different angles.

[0117] As a specific implementation of the embodiment of the present disclosure, spectrum decomposition includes:

[0118] The optimal angle stacking range is determined, and a high-precision matching pursuit algorithm is used to perform spectrum decomposition on each angle stacking body to obtain the time-frequency spectrum of each stacking body.

[0119] As a specific implementation of the embodiment of the present disclosure, it also includes:

[0120] By comparing and analyzing the high-frequency attenuation gradient attribute characteristics of stacked bodies at different angles and performing differentiated processing, the ability to predict gas content can be enhanced.

[0121] Example 5

[0122] The present disclosure provides an electronic device, which includes: a memory storing executable instructions; a processor, which runs the executable instructions in the memory to implement the above-mentioned gas-beach reservoir prediction method.

[0123] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.

[0124] The memory is used to store non-temporary computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.

[0125] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of the present disclosure, the processor is used to run the computer-readable instructions stored in the memory.

[0126] Those skilled in the art should be able to understand that in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus and an interface, and these well-known structures should also be included in the protection scope of the present disclosure.

[0127] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0128] Example 6

[0129] The embodiment of the present disclosure provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the gas content prediction method of the reef-shoal facies reservoir is implemented.

[0130] According to the computer-readable storage medium of the embodiment of the present disclosure, non-transitory computer-readable instructions are stored thereon. When the non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the above-mentioned methods of each embodiment of the present disclosure are executed.

[0131] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or mobile hard disk), media with built-in rewritable non-volatile memory (e.g., memory card) and media with built-in ROM (e.g., ROM box).

[0132] Those skilled in the art should understand that the purpose of the above description of the embodiments of the present invention is only to exemplarily illustrate the beneficial effects of the embodiments of the present invention, and is not intended to limit the embodiments of the present invention to any given examples.

[0133] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for predicting the gas content of a reef-shoal reservoir, characterized in that: include: Optimize the pre-stack gathers and then perform partial angle stacking to obtain multiple stacking bodies; Conduct spectrum attenuation analysis of single well reservoir and non-reservoir segments based on multiple stacks; According to the results of spectrum feature analysis, angle optimization and spectrum decomposition are performed to obtain the time-frequency spectrum of each superposition body; The high-frequency attenuation gradient properties of different superposition bodies are extracted according to the time-frequency spectrum to detect the gas-bearing characteristics of the reservoir.

2. The method for predicting gas content of reef-shoal facies reservoir according to claim 1, wherein: The optimization process includes denoising, time difference correction and super channel processing.

3. The method for predicting gas content of reef-shoal facies reservoir according to claim 1, wherein: Performing partial angle overlays includes: Partial angle stacking is performed on the optimized gathers, and they are stacked into multiple stacking bodies according to the maximum angle range of the gathers.

4. The method for predicting gas content of reef-shoal facies reservoir according to claim 1, wherein: Spectral attenuation analysis of single well reservoir and non-reservoir segments based on multiple stacks includes: Determine typical wells for fine calibration of synthetic records, and locate the time range corresponding to the reservoir and non-reservoir layers on the wells; Taking the well location as the center, the horizontal and vertical survey lines are expanded by 20 lines each to generate a small three-dimensional image around the well; The frequency spectrum characteristics of the data within the time range are analyzed based on multiple stacks to check the differences in frequency spectrum characteristics between the reservoir segment and the non-reservoir segment of stacks at different angles.

5. The method for predicting gas content of reef-shoal facies reservoir according to claim 1, wherein: The spectrum decomposition comprises: The optimal angle stacking range is determined, and a high-precision matching pursuit algorithm is used to perform spectrum decomposition on each angle stacking body to obtain the time-frequency spectrum of each stacking body.

6. The method for predicting gas content of reef-shoal facies reservoir according to claim 1, wherein: Also includes: By comparing and analyzing the high-frequency attenuation gradient attribute characteristics of stacked bodies at different angles and performing differentiated processing, the ability to predict gas content can be enhanced.

7. A device for predicting gas content of reef-shoal reservoirs, characterized in that: include: The stacking module optimizes the pre-stack gathers and then performs partial angle stacking to obtain multiple stacking bodies. Analysis module, which performs spectrum attenuation analysis of single well reservoir and non-reservoir segments based on multiple stacks; The optimization module performs angle optimization and spectrum decomposition based on the spectrum feature analysis results to obtain the time-frequency spectrum of each superposition body; The detection module extracts high-frequency attenuation gradient properties of different superposition bodies according to the time-frequency spectrum to detect gas-bearing characteristics of the reservoir.

8. The gas-bearing property prediction device for reef-shoal facies reservoir according to claim 7, wherein: Spectral attenuation analysis of single well reservoir and non-reservoir segments based on multiple stacks includes: Determine typical wells for fine calibration of synthetic records, and locate the time range corresponding to the reservoir and non-reservoir layers on the wells; Taking the well location as the center, the horizontal and vertical survey lines are expanded by 20 lines each to generate a small three-dimensional image around the well; The frequency spectrum characteristics of the data within the time range are analyzed based on multiple stacks to check the differences in frequency spectrum characteristics between the reservoir segment and the non-reservoir segment of stacks at different angles.

9. An electronic device, characterized in that: The electronic device comprises: A memory storing executable instructions; A processor, wherein the processor runs the executable instructions in the memory to implement the gas content prediction method of the reef-shoal facies reservoir according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the method for predicting the gas content of a reef-shoal facies reservoir according to any one of claims 1 to 6.

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