River sandstone carving method and device, electronic equipment and storage medium

Abstract

The application belongs to the technical field of oil exploration, and particularly relates to a river sandstone delineation method and device, an electronic device and a storage medium. The application obtains seismic data of a target area and logging data of at least two sample wells, the logging data corresponding to the sample wells, determines a dominant incidence angle range of a region where each sample well is located according to each logging data and the seismic data, determines a comprehensive response data body of the target area according to all the dominant incidence angle ranges and the seismic data, and determines a delineation result of river sandstone according to the comprehensive response data body. The final delineation result is more consistent with the actual drilling result.

Description

Technical Field

[0001] This invention belongs to the technical field of petroleum exploration, specifically relating to a method, apparatus, electronic device, and storage medium for depicting river sandstone. Background Technology

[0002] Currently, most methods for characterizing river channel sandstone are based on post-stack seismic data. However, during the process of stacking pre-stack gathers into post-stack seismic data, seismic response characteristics at certain incident angles are weakened or even disappeared due to the stacking process. This makes it difficult for the seismic response characteristics present in the pre-stack gathers to be reflected in the post-stack data. Consequently, the final river channel sandstone characterization results deviate significantly from the actual drilling results. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a method, apparatus, electronic device, and storage medium for characterizing channel sandstone. This application acquires seismic data of the target area and logging data from at least two sample wells; the logging data corresponds to the sample wells; the dominant incident angle range for each sample well is determined based on each logging data and the seismic data; a comprehensive response data volume for the target area is determined based on all the dominant incident angle ranges and the seismic data; and the characterization result of the channel sandstone is determined based on the comprehensive response data volume. This results in a more accurate match between the final characterization result and the actual drilling results.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention includes four aspects.

[0005] In a first aspect, a method for characterizing channel sandstone is provided, comprising: acquiring seismic data of a target area and logging data of at least two sample wells; the logging data corresponding to the sample wells; determining the dominant incident angle range of the area where each sample well is located based on each of the logging data and the seismic data; determining a comprehensive response data volume of the target area based on all the dominant incident angle ranges and the seismic data; and determining the characterization result of the channel sandstone based on the comprehensive response data volume.

[0006] In some embodiments, determining the dominant incident angle range of the region where each sample well is located based on each well logging data and the seismic data includes: acquiring well coordinate data for each sample well; determining each target region centered on each well coordinate data; the target region being the region where the sample well is located and corresponding to the sample well; and determining the dominant incident angle range of each target region based on each synthetic calibration record and the seismic data.

[0007] In some embodiments, the seismic data includes: pre-stack seismic data; the step of determining a synthetic calibration record for each target region based on each well logging data and the seismic data includes: determining first post-stack seismic data for each target region based on each well coordinate data and the post-stack seismic data; and determining a synthetic calibration record for each target region based on each well logging data and the corresponding first post-stack seismic data.

[0008] In some embodiments, the seismic data includes: post-stack seismic data; the well logging data includes: well logging interpretation results; determining the dominant incident angle range for each target area based on each synthetic calibration record and the seismic data includes: determining first pre-stack seismic data for each target area based on each well coordinate data and the pre-stack seismic data; determining the development time range of channel sandstone in each target area based on each well logging interpretation result and the corresponding synthetic calibration record; and determining the dominant incident angle range for each target area in the corresponding first pre-stack seismic data based on each development time range.

[0009] In some embodiments, determining the comprehensive response data volume of the target area based on all the dominant incident angle ranges and the seismic data includes: performing incident angle-based stacking processing on the corresponding first pre-stack seismic data according to each dominant incident angle range to obtain multiple stacked seismic volumes corresponding to the target area; and stacking the multiple stacked seismic volumes using a fuzzy logic algorithm to obtain the comprehensive response data volume of the target area.

[0010] In some embodiments, determining the characterization result of the channel sandstone based on the integrated response data body includes: acquiring stratigraphic data of the target channel; extracting attributes from the integrated response data based on the stratigraphic data; and determining the characterization result of the channel sandstone based on the attributes.

[0011] In some embodiments, the attribute includes: a maximum trough attribute; determining the characterization result of the channel sandstone based on the attribute includes: determining the characterization result of the channel sandstone based on the maximum trough attribute.

[0012] Secondly, this application proposes a channel sandstone characterization device, comprising: a first acquisition module for acquiring seismic data of a target area and logging data of at least two sample wells; a first determination module for determining the dominant incident angle range of the area where each sample well is located based on each of the logging data and the seismic data; a second determination module for determining a comprehensive response data volume of the target area based on all the dominant incident angle ranges and the seismic data; and a third determination module for determining the channel sandstone characterization result based on the comprehensive response data volume.

[0013] A third aspect provides an electronic device including a storage device and a processor, the storage device storing a computer program, the processor executing the computer program to implement the steps of a method for depicting riverbed sandstone.

[0014] The fourth aspect provides a storage medium storing a computer program that can be executed by one or more processors, the computer program being able to implement the steps of any of the riverbed sandstone characterization methods in the first aspect.

[0015] The beneficial effects of this invention are as follows: This application acquires seismic data of the target area and logging data from at least two sample wells; the logging data corresponds to the sample wells; the dominant incident angle range for each sample well is determined based on each logging data and the seismic data; a comprehensive response data volume for the target area is determined based on all the dominant incident angle ranges and the seismic data; and the characterization result of the channel sandstone is determined based on the comprehensive response data volume. This makes the final characterization result more consistent with the actual drilling results. Attached Figure Description

[0016] The scope of this disclosure can be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. The accompanying drawings are:

[0017] Figure 1 A flowchart illustrating a method for depicting river sandstone in an embodiment of this application;

[0018] Figure 2 This is a structural block diagram of a riverbed sand body characterization device provided in an embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0021] If the application documents contain similar descriptions such as "first, second, third", the following explanation shall be added: In the following description, the terms "first, second, third" are used only to distinguish similar objects and do not represent a specific order of objects. It is understood that "first, second, third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0023] Example 1:

[0024] In view of the problems existing in the background technology, such as Figure 1 As shown, this application provides a method for depicting riverbed sandstone. This method is applied to an electronic device, which can be a server, mobile terminal, computer, cloud platform, etc. The functions implemented by the device data processing provided in this application embodiment can be achieved by the processor of the electronic device calling program code. The program code can be stored in a computer storage medium. The riverbed sandstone depiction method includes:

[0025] Step S1: Obtain seismic data for the target area and logging data from at least two sample wells.

[0026] To characterize channel sand bodies in a target area, relevant data on these sand bodies must be collected. This data can only be obtained through well logging. Furthermore, not all wells will encounter a channel. Therefore, we need to select sample wells and use their logging data to obtain relevant data on the channel sand bodies. Similarly, to ensure a closer match between the final characterization results and actual drilling results, at least two sample wells are required.

[0027] Step S2: Determine the range of dominant incident angles for the area where each sample well is located based on each well logging data and the seismic data.

[0028] Before determining the range of the dominant angle of incidence, we first need to set the range of the effective angle of incidence.

[0029] In some embodiments, step S2, "determining the dominant incident angle range for the region where each sample well is located based on each well logging data and the seismic data," includes:

[0030] Step S21: Obtain the well coordinate data for each of the sample wells.

[0031] Step S22: Determine each target area centered on each of the well coordinate data.

[0032] Since the target area is a very large region containing numerous data volumes, the well coordinates of the sample wells are used as marker points to accurately extract useful data. The area surrounding these marker points is then defined as the target region for the sample wells. Therefore, there is a correspondence between the target region and the sample wells; the target region is the area where the target wells are located.

[0033] Step S23: Determine the synthetic calibration record for each target area based on each of the well logging data and the seismic data.

[0034] Because well logging data uses distance as the variable, while seismic data uses time, and characterizing channel sandbody development involves time considerations, it is necessary to obtain synthetic calibration records for the target area of ​​each sample well. These synthetic calibration records are a fusion of seismic and well logging data, and contain a correspondence between distance and time. As mentioned in the background section, existing techniques characterize channel sandbodies using post-stack seismic data, but some features are masked in post-stack seismic data. Therefore, the seismic data in this application includes both pre-stack and post-stack seismic data.

[0035] In some embodiments, step S23, "determining a synthetic calibration record for each target area based on each of the well logging data and the seismic data," includes:

[0036] Step S231: Determine the first post-stack seismic data for each target area based on the well coordinate data and the post-stack seismic data.

[0037] Step S232: Determine the synthetic calibration record for each target area based on each well logging data and the corresponding first post-stack seismic data.

[0038] Because the seismic data for the target area is extremely large, as are the post-stack and pre-stack seismic data, obtaining the synthetic calibration record for the region requires first obtaining the post-stack seismic data for each target area, i.e., the first post-stack seismic data. Then, the first post-stack seismic data and well logging data are processed to obtain the synthetic calibration record for each target area.

[0039] Step S24: Determine the range of dominant incident angles for each target area based on each of the synthetic calibration records and the seismic data.

[0040] At this point, the dominant incident angle range for each target area can be determined using the synthetic calibration records and seismic data for that area, where the dominant incident angle range falls within the effective incident angle range. Since many features are masked in post-stack seismic data, pre-stack seismic data is used in this application to determine the dominant incident angle. To better determine the dominant incident angle, the well logging data in this application includes well logging interpretation results. The dominant incident angle for the target area can be determined based on the well logging interpretation results.

[0041] Therefore, in some embodiments, step S24, "determining the dominant incident angle range for each target area based on each of the synthetic calibration records and the seismic data," includes:

[0042] Step S241: Determine the first pre-stack seismic data for each target area based on the well coordinate data and the pre-stack seismic data.

[0043] Step S242: Determine the development time range of channel sandstone in each target area based on each well logging interpretation result and the corresponding synthetic calibration record.

[0044] Step S243: Determine the dominant incident angle range for each target region in the corresponding first prestack seismic data based on each development time range.

[0045] Similarly, due to the vast amount of pre-stack seismic data in the target area, to effectively utilize this data, it is first necessary to determine the corresponding first-stage pre-stack seismic data for each target region. Well logging data includes well logging interpretation results, which in turn contain porosity interpretation results. Porosity data can clearly identify the development time range of channel sandstones in the target region within the synthetic calibration record. After obtaining the development time range, the dominant incident angle range for the target region is determined based on this range within the first-stage pre-stack seismic data. This achieves the goal of using pre-stack seismic data to determine the dominant incident angle range of channel sandstones in each target region.

[0046] Step S3: Determine the comprehensive response data volume of the target area based on all the said advantageous incident angle ranges and the said seismic data.

[0047] The dominant angle of incidence for each target area only represents the situation of the channel sand body in a single target area and cannot be used as a characterization result of the channel sand body in the target area.

[0048] Therefore, in some embodiments, step S3, "determining the comprehensive response data volume of the target area based on all the said advantageous incident angle ranges and the seismic data," includes:

[0049] Step S31: Based on each of the advantageous incident angle ranges, the corresponding first pre-stack seismic data are processed by incident angle stacking to obtain multiple stacked seismic bodies corresponding to the target area.

[0050] Step S32: The multiple superimposed seismic volumes are superimposed using a fuzzy logic algorithm to obtain the comprehensive response data volume of the target area.

[0051] Each advantageous incident angle needs to be superimposed with the corresponding first pre-stack data to obtain the superimposed seismic volume of the target area. Then, the superimposed seismic volumes of multiple target areas are superimposed using a fuzzy logic algorithm to obtain the comprehensive response data volume of the target area.

[0052] However, in practice, the number of sample wells is limited, and there are no sample wells in some locations in the river channel. Therefore, in order to ensure the accuracy of the data, this application also needs to statistically analyze the range of the dominant incident angle for each region.

[0053] For example, there are three sample wells in this application. The effective incident angle range is set to 0-36 degrees. The advantageous incident angle ranges for each target area obtained according to steps S21-S243 are 20-25°, 25-36°, and 25-32°, respectively.

[0054] Statistical analysis revealed that the union of the dominant incident angle ranges for the three target areas is 20-36°. However, in reality, some areas will inevitably have a dominant incident angle range within 20-36°.

[0055] Therefore, we re-divided the 20-36° range, resulting in three more dominant incident angle ranges: 20-26°, 25-30°, and 30-36°. This yielded three stacked seismic volumes for these three regions. Finally, we fused these six stacked seismic volumes into a single comprehensive response data volume using a fuzzy logic algorithm. This process enriched the data, and the final results better matched the actual drilling results.

[0056] Step S4: Determine the characterization result of the channel sandstone based on the comprehensive response data.

[0057] In some embodiments, step S4, "determining the characterization result of the channel sandstone based on the integrated response data volume," includes:

[0058] Step S41: Obtain the stratigraphic data of the target river channel.

[0059] Step S42: Extract attributes from the integrated response data based on the layer data.

[0060] Step S43: Determine the characterization result of the river channel sandstone based on the properties.

[0061] Before determining the integrated response data volume, stratigraphic data of the target channel is obtained first. Attributes related to the target channel are extracted from the integrated response data volume using the stratigraphic data. These extracted attributes are then used to characterize the channel sandstone, ultimately yielding the desired sandstone characterization.

[0062] In some implementations, the attribute includes: the maximum trough attribute. Step S43, "Determining the characterization result of the channel sandstone based on the attribute," includes:

[0063] Step S431: Determine the characterization result of the channel sandstone based on the maximum trough attribute.

[0064] This application presents a fuzzy logic-based method for characterizing river channels in clastic rocks. Based on extracting effective seismic response features of river channel sandstone from pre-stack trace sets, this invention uses a fuzzy logic algorithm to obtain a post-stack composite response data volume containing effective seismic response features from stacked data volumes with different incident angles, ultimately completing the river channel characterization. This invention, based on pre-stack seismic data, reveals more seismic response features of river channel sandstone that are weakened or even disappeared due to stacking, compared to using post-stack data. The resulting river channel sandstone characterization results are more consistent with actual drilling data.

[0065] Example 2:

[0066] Based on the foregoing embodiments, this application provides a river sandstone engraving device. The various modules and units included in the device can be implemented by a processor in a computer device; of course, they can also be implemented by specific logic circuits. In the implementation process, the processor can be a central processing unit (CPU), a microprocessor unit (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0067] like Figure 2 As shown, in the second aspect, this application proposes a riverbed sandstone engraving device, comprising: a first acquisition module 1, a first determination module 2, a second determination module 3, and a third determination module 4.

[0068] The first acquisition module 1 is used to acquire seismic data of the target area and well logging data from at least two sample wells. The first determination module 2 is used to determine the dominant incident angle range for the area where each sample well is located based on each of the well logging data and the seismic data. The second determination module 3 is used to determine the comprehensive response data volume of the target area based on all the dominant incident angle ranges and the seismic data. The third determination module 4 is used to determine the characterization result of the channel sandstone based on the comprehensive response data volume.

[0069] In some embodiments, the first determining module 2 includes: a second obtaining module, a fourth determining module, a fifth determining module, and a sixth determining module.

[0070] The second acquisition module is used to acquire the well coordinate data of each sample well. The fourth determination module is used to determine each target area centered on each well coordinate data. The fifth determination module is used to determine the synthetic calibration record of each target area based on each well logging data and the seismic data. The sixth determination module is used to determine the dominant incident angle range of each target area based on each synthetic calibration record and the seismic data.

[0071] In some embodiments, the fifth determining module includes a seventh determining module and an eighth determining module.

[0072] The seventh determining module is used to determine the first post-stack seismic data for each target area based on the well coordinate data and the post-stack seismic data. The eighth determining module is used to determine the synthetic calibration record for each target area based on each well logging data and the corresponding first post-stack seismic data.

[0073] In some embodiments, the sixth determining module includes: a ninth determining module, a tenth determining module, and an eleventh determining module.

[0074] The ninth determining module is used to determine the first pre-stack seismic data for each target area based on the well coordinate data and the pre-stack seismic data. The tenth determining module is used to determine the development time range of channel sandstone in each target area based on the well logging interpretation results and the corresponding synthetic calibration records. The eleventh determining module is used to determine the dominant incident angle range for each target area in the corresponding first pre-stack seismic data based on each development time range.

[0075] In some embodiments, the second determining module 3 includes: a first execution module and a second execution module.

[0076] The first execution module is used to perform incident angle-based stacking processing on the corresponding first pre-stack seismic data according to each of the said advantageous incident angle ranges, to obtain multiple stacked seismic volumes corresponding to the target area. The second execution module is used to stack the multiple stacked seismic volumes using a fuzzy logic algorithm to obtain a comprehensive response data volume for the target area.

[0077] In some embodiments, the third determining module 4 includes: a third acquiring module, a third executing module, and a twelfth determining module.

[0078] The third acquisition module is used to acquire stratigraphic data of the target river channel. The third execution module is used to extract attributes from the comprehensive response data based on the stratigraphic data. The twelfth determination module is used to determine the characterization result of the river channel sandstone based on the attributes.

[0079] In some embodiments, the twelfth determining module includes: the thirteenth determining module.

[0080] The thirteenth determination module is used to determine the characterization result of the channel sandstone based on the maximum trough attribute.

[0081] The various modules in the aforementioned riverbed sandstone engraving device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the device in hardware form or independently of it, or stored in the memory of the processing device in software form, so that the processor can call and execute the operations corresponding to each module. It should be noted that the module division in this embodiment is illustrative and only represents a logical functional division; in actual implementation, there may be other division methods.

[0082] Example 3:

[0083] The third aspect provides an electronic device including a storage device and a processor, the storage device storing a computer program, the processor executing the computer program to implement the steps of a method for depicting riverbed sandstone.

[0084] Example 4:

[0085] The fourth aspect provides a storage medium storing a computer program that can be executed by one or more processors, the computer program being able to implement the steps of any of the riverbed sandstone characterization methods in the first aspect.

[0086] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0087] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It should be understood that in the various embodiments of this application, the sequence numbers of the above-described processes do not imply a sequential order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application. The sequence numbers of the above-described embodiments are merely descriptive and do not represent the superiority or inferiority of the embodiments.

[0088] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0089] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0090] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0091] In addition, each functional unit in the various embodiments of this application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0092] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media that can store program code, such as mobile storage devices, read-only memory (ROM), magnetic disks, or optical disks.

[0093] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a controller to execute all or part of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0094] The above description is merely an embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for depicting riverbed sandstone, characterized in that, include: Acquire seismic data for the target area and logging data from at least two sample wells; The seismic data includes pre-stack seismic data and post-stack seismic data; the well logging data includes well logging interpretation results; the well logging data corresponds to the sample wells. Determining the dominant incident angle range for each sample well's location based on each well logging data and seismic data specifically includes: acquiring well coordinate data for each sample well; determining each target region centered on each well coordinate data; the target region being the region where the sample well is located and corresponding to the sample well; determining a synthetic calibration record for each target region based on each well logging data and the post-stack seismic data; determining first pre-stack seismic data for each target region based on each well coordinate data and the pre-stack seismic data; determining the development time range of channel sandstone in each target region based on each well logging interpretation result and the corresponding synthetic calibration record; and determining the dominant incident angle range for each target region in the corresponding first pre-stack seismic data based on each development time range. Determining the comprehensive response data body of the target area based on all the said advantageous incident angle ranges and the seismic data specifically includes: performing incident angle-based stacking processing on the corresponding first prestack seismic data according to each of the said advantageous incident angle ranges to obtain multiple stacked seismic bodies corresponding to the target area; and stacking the multiple stacked seismic bodies using a fuzzy logic algorithm to obtain the comprehensive response data body of the target area. The characterization results of the channel sandstone in the target area are determined based on the comprehensive response data.

2. The method for depicting riverbed sandstone according to claim 1, characterized in that, The determination of the synthetic calibration record for each target area based on each well logging data and the post-stack seismic data includes: The first post-stack seismic data for each target area is determined based on the well coordinate data and the post-stack seismic data. A synthetic calibration record for each target area is determined based on each well logging data and the corresponding first post-stack seismic data.

3. The method for depicting riverbed sandstone according to claim 1, characterized in that, The determination of the characterization results of the channel sandstone based on the comprehensive response data volume includes: Obtain stratigraphic data of the target river channel; Attributes are extracted from the comprehensive response data based on the hierarchical data. The characterization result of the channel sandstone is determined based on the aforementioned properties.

4. The method for depicting riverbed sandstone according to claim 3, characterized in that, The attribute includes: the maximum trough attribute; determining the characterization result of the channel sandstone based on the attribute includes: The characterization result of the channel sandstone is determined based on the maximum trough attribute.

5. A device for carving sandstone in river channels, characterized in that, include: The first acquisition module is used to acquire seismic data of the target area and well logging data of at least two sample wells; The seismic data includes pre-stack seismic data and post-stack seismic data; the well logging data includes well logging interpretation results; the well logging data corresponds to the sample wells. A first determining module is used to determine the dominant incident angle range of the area where each sample well is located based on each well logging data and the seismic data. The first determining module includes a second acquisition module, a fourth determining module, a fifth determining module, and a sixth determining module. The second acquisition module is used to acquire well coordinate data for each sample well. The fourth determining module is used to determine each target area centered on each well coordinate data. The target area is the area where the sample well is located and corresponds to the sample well. The fifth determining module is used to determine the synthetic calibration record of each target area based on each well logging data and the post-stack seismic data. The sixth determining module is used to determine the dominant incident angle range of the area where each sample well is located based on each well logging data and the post-stack seismic data. The sixth determining module includes a ninth determining module, a tenth determining module, and an eleventh determining module. The ninth determining module is used to determine the first pre-stack seismic data for each target area based on each well coordinate data and the pre-stack seismic data. The tenth determining module is used to determine the development time range of channel sandstone in each target area based on each well logging interpretation result and the corresponding synthetic calibration record. The eleventh determining module is used to determine the dominant incident angle range for each target area based on each development time range in the corresponding first pre-stack seismic data. The second determining module is used to determine the comprehensive response data volume of the target area based on all the dominant incident angle ranges and the seismic data; the second determining module includes a first execution module and a second execution module; the first execution module is used to perform incident angle-based stacking processing on the corresponding first pre-stack seismic data according to each dominant incident angle range to obtain multiple stacked seismic volumes corresponding to the target area; the second execution module is used to stack the multiple stacked seismic volumes using a fuzzy logic algorithm to obtain the comprehensive response data volume of the target area; The third determination module is used to determine the characterization result of the channel sandstone based on the comprehensive response data.

6. An electronic device, characterized in that, include: The system includes a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, performs the steps of a method for depicting riverbed sandstone as described in any one of claims 1 to 4.

7. A storage medium, characterized in that, The computer program stored in the storage medium can be executed by one or more processors, and the computer program can be used to implement the steps of the riverbed sandstone engraving method as described in any one of claims 1 to 4.

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