Strike-slip fracture identification method and device, equipment and storage medium

Abstract

The invention discloses a strike-slip fracture identification method, apparatus and device, and a storage medium. The method comprises the steps of obtaining original acquisition data of an underground rock stratum for seismic exploration; separating the original acquisition data to obtain separated diffracted wave data; imaging based on the diffracted wave data to obtain a diffracted wave imaging data body; and performing section and plane observation identification based on the diffracted wave imaging data volume, and determining the spatial distribution information of strike-slip fracture in the underground rock stratum. Through the technical scheme of the embodiment of the invention, effective identification of the strike-slip fracture in the underground rock stratum can be realized, the spatial distribution position of the strike-slip fracture is determined, and sufficient data guarantee is provided for regional geological analysis and exploration well point deployment.

Description

Technical Field

[0001] The present invention relates to the field of geophysical technology in the petroleum industry, and in particular to a strike-slip fault identification method, device, equipment and storage medium. Background Art

[0002] Seismic exploration is the main method for oil exploration and development in my country. Different geological targets have different responses to seismic waves. Strike-slip faults refer to the relative horizontal movement of the two plates of the fault under the action of torsional stress or shear stress field. The most notable feature of most strike-slip faults is the small fault throw and good lateral continuity between the upper and lower plates of the fault. Therefore, the response characteristics are not obvious on the seismic profile.

[0003] At present, strike-slip faults are mainly identified through seismic data. By optimizing the algorithm of seismic traces, in addition to considering the energy changes between seismic traces, geometric characteristics, spatial orientation characteristics, etc. are also considered. However, in underground rock formations, seismic responses are often masked by various "noises", and it is difficult to distinguish between the response characteristics of seismic waves on seismic profiles. It is impossible to determine the spatial distribution of deep strike-slip faults, and it is difficult to provide sufficient data support for regional geological analysis and exploration well deployment. The exploration of ultra-deep strike-slip faults has become a key factor restricting oil exploration and development. Summary of the invention

[0004] The present invention provides a strike-slip fault identification method, device, equipment and storage medium to achieve effective identification of strike-slip faults in underground rock formations, determine the spatial distribution of strike-slip faults, and provide sufficient data guarantee for regional geological analysis and exploration well point deployment.

[0005] In a first aspect, an embodiment of the present invention provides a strike-slip fault identification method, comprising:

[0006] Obtaining original acquisition data of underground rock formations for seismic exploration;

[0007] Separating the original collected data to obtain separated diffraction wave data;

[0008] Performing imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume;

[0009] Based on the diffraction wave imaging data volume, cross-section and plane observation and identification are performed to determine the spatial distribution information of strike-slip faults in the underground rock formation.

[0010] In a second aspect, an embodiment of the present invention further provides a strike-slip fault identification device, comprising:

[0011] A raw data acquisition module is used to acquire raw acquisition data of underground rock formations for seismic exploration;

[0012] A diffraction wave data acquisition module, used for separating the original collected data to obtain separated diffraction wave data;

[0013] A diffraction wave data volume acquisition module, used for performing imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume;

[0014] The spatial distribution determination module is used to observe and identify the profile and plane based on the diffraction wave imaging data volume to determine the spatial distribution information of the strike-slip fault in the underground rock layer.

[0015] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising: at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor. The computer program is executed by the at least one processor so that the at least one processor can execute the strike-slip fault identification method provided by any embodiment of the present invention.

[0018] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to execute the strike-slip fault identification method provided by any embodiment of the present invention when executing the computer instructions.

[0019] The technical solution of the embodiment of the present invention obtains the original acquisition data of the underground rock formation in seismic exploration, and separates the diffraction wave data that is more sensitive to the spatial discontinuity of the formation from the original acquisition data; performs imaging based on the diffraction wave data to obtain the diffraction wave imaging data body; and performs cross-section and plane observation and identification based on the diffraction wave imaging data body, so as to more clearly and accurately determine the spatial distribution information of the strike-slip faults in the underground rock formation, thereby realizing the effective identification of the strike-slip faults in the underground rock formation, and also does not increase the acquisition cost, and determines the spatial distribution position of the strike-slip faults, providing sufficient data guarantee for regional geological analysis and exploration well point deployment.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 is a flow chart of a strike-slip fault identification method provided according to Embodiment 1 of the present invention;

[0023] FIG. 2( a ) is a data body of original collected data involved in Embodiment 1 of the present invention;

[0024] FIG2( b ) is a diffraction wave imaging data volume according to Embodiment 1 of the present invention;

[0025] Figure 3 is a flow chart of a strike-slip fault identification method provided according to the second embodiment of the present invention;

[0026] FIG4( a ) is a plane view of a reflected wave imaging data volume according to the second embodiment of the present invention;

[0027] FIG4( b ) is a plane view of a fused data volume according to the second embodiment of the present invention;

[0028] Figure 5 is a schematic structural diagram of a strike-slip fault identification device provided according to Embodiment 3 of the present invention;

[0029] Figure 6 It is a schematic diagram of the structure of an electronic device for implementing the strike-slip fault identification method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "target", "current", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] Embodiment 1

[0033] Figure 1 A flowchart of a strike-slip fault identification method is provided for the first embodiment of the present invention. This embodiment is applicable to the case of determining the spatial distribution information of strike-slip faults in underground rock formations. Figure 1 As shown, the method can be performed by a strike-slip fault identification device, which can be implemented in the form of hardware and / or software, and can be configured in an electronic device. Figure 1 As shown, the method specifically comprises the following steps:

[0034] S110, obtaining original acquisition data of underground rock formations from seismic exploration.

[0035] The original acquisition data may refer to the response data of the underground rock formation to the seismic wave after the earthquake. For example, the original acquisition data may be the original acquisition shot gather record. The original acquisition shot gather record refers to the original sampling record obtained by sampling the seismic wave by the detectors at different positions after an artificial earthquake is carried out at a selected location as a shot point.

[0036] Specifically, a selected location is used as a shot point for artificial earthquake, and detectors are set up at multiple locations on the surface. The detectors sample and record the seismic waves at their locations during the earthquake at fixed time intervals. The data recorded by each detector is arranged according to the geographical location to obtain the original acquisition shot set record, and the original acquisition shot set record is used as the original acquisition data of the underground rock formation.

[0037] S120, separating the original collected data to obtain separated diffraction wave data.

[0038] Among them, the diffraction wave data can refer to the place where the seismic wave encounters drastic changes in the stratum during propagation, such as a strike-slip fault, and uses these points as a new source to generate vibrations and propagate to the surrounding in the form of spherical waves. The data generated. Diffraction waves refer to the waves caused by the place where the seismic wave encounters drastic changes in the stratum during propagation. Diffraction waves are a type of abnormal wave, often appearing in the form of a continuation of the reflection wave. The frequency and effective speed are lower than the normal reflection wave, the number of peaks (or troughs) is small, and the energy decays faster. It should be noted that when the stratum is disconnected by a strike-slip fault, the most obvious feature is that the diffraction of the seismic wave will occur at the fault, so that the diffraction wave is more sensitive to the spatial discontinuity of the stratum, and can more clearly reflect the location of the strike-slip fault.

[0039] Specifically, based on the characteristic value difference between the diffraction wave and the transmission wave, the original collected data is analyzed to extract the reflected wave data, and the remaining original data is the diffraction wave data.

[0040] Exemplarily, S120 may include: based on at least one of a time-distance relationship difference between the reflected wave and the diffracted wave in the data space, a wave field dynamics characteristic difference, and a time-distance relationship difference in the imaging space, separating the reflected wave and the diffracted wave from the original acquired data to obtain separated diffraction wave data.

[0041] Specifically, based on at least one of the time-distance relationship difference between the reflected wave and the diffracted wave in the data space, the wave field dynamics characteristic difference, and the time-distance relationship difference in the imaging space, the original acquired data is separated using algorithms related to principal component analysis to extract the reflected wave data, and the remaining original data is the diffracted wave data, thereby achieving signal-to-noise separation of the reflected wave and the diffracted wave.

[0042] Exemplarily, based on the eigenvalue difference between diffraction waves and transmission waves in wave field dynamics, the original acquired data is separated using algorithms related to principal component analysis to extract reflected wave data with larger eigenvalues, and the remaining original data is diffraction wave data with very small eigenvalues.

[0043] S130, performing imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume.

[0044] The diffraction wave imaging data volume may be obtained by rendering the diffraction wave three-dimensional data volume. The three-dimensional data volume refers to a data collection volume with three-dimensional space coordinates (x, y, z) as position functions.

[0045] Specifically, a diffraction wave three-dimensional data volume is obtained based on the diffraction wave data, and the diffraction wave three-dimensional data volume is rendered and imaged to obtain a diffraction wave imaging data volume.

[0046] S140: Observe and identify the profile and plane based on the diffraction wave imaging data volume to determine the spatial distribution information of the strike-slip faults in the underground rock formation.

[0047] Specifically, Figure 2(a) and 2(b) As shown in the figure, FIG2(a) is the imaging data volume of the original acquisition data, and FIG2(b) is the diffraction wave imaging data volume. The strip information in the box and the circular area in the figure is the characteristic information of the strike-slip fault. By comparing FIG2(a) with FIG2(b), it can be obtained that the diffraction wave imaging data volume has more obvious characteristic information of the strike-slip fault. The strip information in the diffraction wave imaging data volume can be automatically identified by extracting the strip information in the diffraction wave imaging data volume, so as to automatically obtain the spatial distribution information of the strike-slip fault in the underground rock formation; the section and plane of the diffraction wave imaging data volume can also be displayed to enable the user to observe and identify the section and plane, and determine the location distribution information of the strike-slip fault based on the spatial distribution information of the strip information observed in the section and plane of the diffraction wave imaging data volume. The user can trigger the selection operation based on the identified strike-slip fault, and determine the spatial position selected by the user as the spatial distribution information of the strike-slip fault in the underground rock formation.

[0048] Exemplarily, S140 may include: determining a fault attribute data volume based on the diffraction wave imaging data volume; and performing cross-sectional and plane observation and identification based on the fault attribute data volume to determine spatial distribution information of strike-slip faults in underground rock formations.

[0049] Among them, the fault attribute can be an attribute used to reflect the location of the strike-slip fault. For example, the fault attribute can include coherence attributes and dip attributes, etc. The fault attribute data body can refer to a data body composed of seismic wave data related to the strike-slip fault. Exemplarily, the fault attribute data body includes: at least one of the coherence attribute data body and the dip attribute data body. Specifically, the fault attribute is calculated based on the diffraction wave imaging data body to determine the fault attribute data body. The computer automatically identifies the fault attribute information extracted from the fault attribute data body, and can also display the section and plane of the fault attribute data body, so as to further amplify the response characteristics of the strike-slip fault by using the fault attribute, and the location information of the strike-slip fault can be displayed more clearly. In order to enable the user to observe and identify the section and plane, the user can trigger the selection operation based on the identified fault attribute, and obtain the spatial distribution information of the strike-slip fault in the underground rock formation based on the selection operation.

[0050] The technical solution of the embodiment of the present invention obtains the original acquisition data of the underground rock formation of seismic exploration, and separates the diffraction wave data that is more sensitive to the bottom space discontinuity from the original acquisition data; performs imaging based on the diffraction wave data to obtain the diffraction wave imaging data body; and performs cross-section and plane observation and identification based on the diffraction wave imaging data body, so as to more clearly and accurately determine the spatial distribution information of the strike-slip faults in the underground rock formation, thereby realizing the effective identification of the strike-slip faults in the underground rock formation, and also does not increase the acquisition cost, determines the spatial distribution position of the strike-slip faults, and provides sufficient data guarantee for regional geological analysis and exploration well point deployment.

[0051] Embodiment 2

[0052] Figure 3 A flowchart of a strike-slip fault identification method provided in Embodiment 2 of the present invention is provided. Based on the above embodiments, this embodiment optimizes the step of "observing and identifying the cross-section and plane based on the diffraction wave imaging data volume to determine the spatial distribution information of the strike-slip fault in the underground rock formation". The explanations of the terms that are the same as or corresponding to the above embodiments are not repeated here.

[0053] See also Figure 3 Another strike-slip fault identification method provided in this embodiment specifically includes the following steps:

[0054] S210, obtaining original acquisition data of underground rock formations from seismic exploration.

[0055] S220, separating the original collected data to obtain separated diffraction wave data and reflection wave data.

[0056] S230 , performing imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume.

[0057] S240: Perform imaging based on the reflected wave data to obtain a reflected wave imaging data volume.

[0058] S250: Fusing the reflection wave imaging data volume and the diffraction wave imaging data volume to obtain a fused data volume.

[0059] Specifically, the reflected wave imaging data volume and the diffraction wave imaging data volume are added and fused according to position information in three-dimensional space to obtain a fused data volume.

[0060] Exemplarily, S250 may include: performing energy normalization on the reflection wave imaging data volume and the diffraction wave imaging data volume; and performing addition fusion based on the energy-normalized reflection wave imaging data volume and diffraction wave imaging data volume to obtain a fused data volume.

[0061] Specifically, based on the energy value of the reflected wave imaging data volume, the diffraction wave imaging data volume is energy-amplified so that the amplified diffraction wave imaging data volume and the reflected wave imaging data volume have the same magnitude. The amplified diffraction wave imaging data volume and the reflected wave imaging data volume are added and fused to obtain a fused data volume. This can make the fused data volume have more obvious diffraction wave features.

[0062] S260: Observe and identify the profile and plane based on the fused data volume to determine the spatial distribution information of the strike-slip faults in the underground rock formation.

[0063] Specifically, Figure 4(a) and 4(b) As shown in the figure, Figure 4(a) is a plane view of the reflection wave imaging data volume, and Figure 4(b) is a plane view of the fused data volume. The strip information in the circular area in the figure is the characteristic information of the strike-slip fault. By comparing Figure 4(a) with Figure 4(b), it can be seen that the fused data volume has more obvious characteristic information of the strike-slip fault. The strip information in the fused data volume can be automatically identified by extracting it, so as to automatically obtain the spatial distribution information of the strike-slip fault in the underground rock formation; the section and plane of the fused data volume can also be displayed to enable the user to observe and identify the section and plane, and determine the location distribution information of the strike-slip fault based on the spatial distribution information of the strip information observed in the section and plane of the fused data volume. The user can trigger the selection operation based on the identified strike-slip fault, and determine the spatial position selected by the user as the spatial distribution information of the strike-slip fault in the underground rock formation. .

[0064] Exemplarily, S260 may include: determining a fault attribute data body based on the fused data body; and performing cross-sectional and plane observation and identification based on the fault attribute data body to determine spatial distribution information of strike-slip faults in underground rock formations.

[0065] Specifically, by calculating fault attributes based on the fused data body, the obtained fault attributes can have a more obvious strike-slip fault identification effect, and the fault attribute data body can be determined. The computer automatically identifies by extracting the strip information in the fused data body, and can also display the section and plane of the fused data body. The response characteristics of the strike-slip fault can be further amplified by using the fault attributes, so as to more clearly display the location information of the strike-slip fault. This allows the user to observe and identify the section and plane, and determine the location distribution information of the strike-slip fault based on the spatial distribution information of the strip information observed by the user in the section and plane of the fused data body. The user can trigger the selection operation based on the identified strike-slip fault, and obtain the spatial distribution information of the strike-slip fault in the underground rock formation based on the selection operation.

[0066] The technical solution of the embodiment of the present invention performs imaging based on the separated reflection wave data to obtain a reflection wave imaging data volume. The reflection wave imaging data volume and the diffraction wave imaging data volume are fused to obtain a fused data volume. Based on the fused data volume, cross-section and plane observation and identification are performed to determine the spatial distribution information of the strike-slip fault in the underground rock formation, thereby amplifying the response characteristics of the strike-slip fault to the seismic wave, reducing the interference of other irrelevant features on the identification of the strike-slip fault, and making the strike-slip fault easier to identify.

[0067] Embodiment 3

[0068] Figure 5 This is a schematic diagram of the structure of a strike-slip fault identification device provided in Embodiment 3 of the present invention. Figure 5 As shown, the device includes: an original data acquisition module 310 , a diffraction wave data acquisition module 320 , a diffraction wave data volume acquisition module 330 and a spatial distribution determination module 340 .

[0069] The original data acquisition module 310 is used to acquire the original acquisition data of underground rock formations in seismic exploration;

[0070] A diffraction wave data acquisition module 320 is used to separate the original collected data to obtain separated diffraction wave data;

[0071] A diffraction wave data volume acquisition module 330 is used to perform imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume;

[0072] The spatial distribution determination module 340 is used to perform cross-section and plane observation and identification based on the diffraction wave imaging data volume to determine the spatial distribution information of the strike-slip fault in the underground rock layer.

[0073] The technical solution of this embodiment obtains the original acquisition data of the underground rock formation of seismic exploration, and separates the diffraction wave data that is more sensitive to the spatial discontinuity of the formation from the original acquisition data; performs imaging based on the diffraction wave data to obtain the diffraction wave imaging data body; and performs cross-section and plane observation and identification based on the diffraction wave imaging data body, so as to more clearly and accurately determine the spatial distribution information of the strike-slip faults in the underground rock formation, thereby realizing the effective identification of the strike-slip faults in the underground rock formation, and also determining the spatial distribution position of the strike-slip faults without increasing the acquisition cost, thereby providing sufficient data guarantee for regional geological analysis and exploration well point deployment.

[0074] Optionally, the diffraction wave data acquisition module 320 is specifically used to separate the reflected wave and the diffraction wave from the original collected data based on at least one of a time-distance relationship difference between the reflected wave and the diffraction wave in the data space, a wave field dynamics characteristic difference, and a time-distance relationship difference in the imaging space, so as to obtain separated diffraction wave data.

[0075] Optionally, the spatial distribution determination module includes:

[0076] An attribute data volume determining unit, used for determining a fault attribute data volume based on the diffraction wave imaging data volume;

[0077] The spatial distribution determination unit performs cross-sectional and plane observation and identification based on the fault attribute data volume to determine the spatial distribution information of the strike-slip fault in the underground rock layer.

[0078] Optionally, the fault attribute data volume includes at least one of a coherence attribute data volume and a dip attribute data volume.

[0079] Optionally, the spatial distribution determination module 340 includes:

[0080] A reflection wave data volume acquisition unit, used for performing imaging based on the separated reflection wave data to obtain a reflection wave imaging data volume;

[0081] a fused data volume acquisition unit, configured to fuse the reflection wave imaging data volume and the diffraction wave imaging data volume to obtain a fused data volume;

[0082] The strike-slip fault spatial distribution determination unit is used to perform cross-section and plane observation and identification based on the fused data volume to determine the spatial distribution information of the strike-slip fault in the underground rock formation.

[0083] Optionally, the fused data volume acquisition unit is specifically used to: perform energy normalization on the reflection wave imaging data volume and the diffraction wave imaging data volume; and perform addition fusion based on the energy-normalized reflection wave imaging data volume and diffraction wave imaging data volume to obtain a fused data volume.

[0084] Optionally, the strike-slip fault spatial distribution determination unit is specifically used to: determine the fault attribute data body based on the fused data body; perform cross-section and plane observation and identification based on the fault attribute data body to determine the spatial distribution information of the strike-slip fault in the underground rock formation.

[0085] The Internet of Vehicles data synchronization device provided in the embodiment of the present invention can execute the Internet of Vehicles data synchronization method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0086] Figure 6A schematic diagram of the structure of an electronic device 12 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as desktop computers, workstations, servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0087] like Figure 6 As shown, the electronic device 12 is in the form of a general purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0088] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0089] The electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0090] The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 6 not shown, usually called a "hard drive"). Although Figure 6Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The system memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0091] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0092] The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), may communicate with one or more devices that enable a user to interact with the electronic device 12, and / or may communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via an input / output (I / O) interface 22. Furthermore, the electronic device 12 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 via a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0093] The processing unit 16 executes various functional applications and data processing by running the program stored in the system memory 28, for example, implementing a method for identifying a strike-slip fault provided in an embodiment of the present invention, the method comprising:

[0094] Obtaining original acquisition data of underground rock formations for seismic exploration;

[0095] Separating the original collected data to obtain separated diffraction wave data;

[0096] Performing imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume;

[0097] Based on the diffraction wave imaging data volume, cross-section and plane observation and identification are performed to determine the spatial distribution information of strike-slip faults in the underground rock formation.

[0098] Of course, those skilled in the art can understand that the processor can also implement the technical solution of the strike-slip fault identification method provided by any embodiment of the present invention.

[0099] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps of the strike-slip fault identification method provided in any embodiment of the present invention are implemented. The method includes:

[0100] Obtaining original acquisition data of underground rock formations for seismic exploration;

[0101] Separating the original collected data to obtain separated diffraction wave data;

[0102] Performing imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume;

[0103] Based on the diffraction wave imaging data volume, cross-section and plane observation and identification are performed to determine the spatial distribution information of strike-slip faults in the underground rock formation.

[0104] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0105] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0106] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0107] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0108] It should be understood by those skilled in the art that the modules or steps of the present invention described above can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0109] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A strike-slip fault identification method, characterized in that: include: Obtaining original acquisition data of underground rock formations for seismic exploration; Separating the original collected data to obtain separated diffraction wave data; Performing imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume; Based on the diffraction wave imaging data volume, cross-section and plane observation and identification are performed to determine the spatial distribution information of strike-slip faults in the underground rock formation.

2. The method according to claim 1, characterized in that Separating the original collected data to obtain separated diffraction wave data includes: Based on at least one of a difference in the time-distance relationship between the reflected wave and the diffracted wave in the data space, a difference in the wave field dynamics characteristics, and a difference in the time-distance relationship in the imaging space, the reflected wave and the diffracted wave are separated from the original collected data to obtain separated diffracted wave data.

3. The method according to claim 1, characterized in that Based on the diffraction wave imaging data volume, the cross-section and plane observation and identification are performed to determine the spatial distribution information of the strike-slip fault in the underground rock formation, including: Determining a fault attribute data volume based on the diffraction wave imaging data volume; Based on the fault attribute data body, cross-section and plane observation and identification are performed to determine the spatial distribution information of strike-slip faults in underground rock formations.

4. The method according to claim 3, characterized in that The fault attribute data volume includes at least one of a coherence attribute data volume and a dip attribute data volume.

5. The method according to claim 1, characterized in that The observing and identifying of the profile and the plane based on the diffraction wave imaging data volume to determine the spatial distribution information of the strike-slip fault in the underground rock formation includes: Perform imaging based on the separated reflected wave data to obtain a reflected wave imaging data volume; fusing the reflection wave imaging data volume and the diffraction wave imaging data volume to obtain a fused data volume; Based on the fused data volume, cross-section and plane observation and identification are performed to determine the spatial distribution information of strike-slip faults in the underground rock formation.

6. The method according to claim 5, characterized in that The step of fusing the reflection wave imaging data volume and the diffraction wave imaging data volume to obtain a fused data volume comprises: Normalizing the energy of the reflection wave imaging data volume and the diffraction wave imaging data volume; The energy-normalized reflected wave imaging data volume and the diffraction wave imaging data volume are added and fused to obtain a fused data volume.

7. The method according to claim 5, characterized in that The step of observing and identifying the profile and the plane based on the fused data volume to determine the spatial distribution information of the strike-slip fault in the underground rock formation includes: Based on the fused data volume, determining a fault attribute data volume; Based on the fault attribute data body, cross-section and plane observation and identification are performed to determine the spatial distribution information of strike-slip faults in underground rock formations.

8. A strike-slip fault identification device, characterized in that: include: A raw data acquisition module is used to acquire raw acquisition data of underground rock formations for seismic exploration; A diffraction wave data acquisition module, used for separating the original collected data to obtain separated diffraction wave data; A diffraction wave data volume acquisition module, used for performing imaging based on the diffraction wave data to obtain a diffraction wave imaging data volume; The spatial distribution determination module is used to observe and identify the profile and plane based on the diffraction wave imaging data volume to determine the spatial distribution information of the strike-slip fault in the underground rock layer.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the strike-slip fault identification method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the strike-slip fault identification method according to any one of claims 1 to 7 when executed.

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