Method, device, electronic equipment and readable storage medium for improving imaging quality

Abstract

Embodiments of the present application provide a method and device for improving imaging quality, electronic equipment and readable storage medium, belonging to the field of seismic data processing. The method comprises: obtaining simulated angle gather data; performing feature recognition of the reflected wave field according to the simulated angle gather data to obtain characteristic representation of the reflected wave field; obtaining actual angle gather data generated by actual seismic data; obtaining the reflected wave field data according to the actual angle gather data and the characteristic representation of the reflected wave field; defining an energy threshold and an amplitude coefficient according to the energy relationship between the reflected wave field data and other wave field data to obtain the reflected wave field data after energy reconstruction; and superimposing the angle gather data after energy reconstruction of the reflected wave field data to obtain the superimposed profile after energy reconstruction of the reflected wave field data. The method can improve the imaging accuracy of underground structures when applied in the process of onshore oil and gas exploration.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of seismic data processing, and in particular to a method and device for improving imaging quality, electronic equipment and readable storage medium. BACKGROUND

[0002] With the increasingly complex oil and gas exploration technology, the imaging problem of low signal-to-noise ratio data is becoming more and more prominent, which limits the accurate understanding of the underground geological structure by geologists and hinders the progress of oil and gas exploration.

[0003] The Kirchhoff integral method pre-stack depth migration commonly used in the prior art has no high-frequency approximation assumption and high operation efficiency, and the Offset gather generated thereby is the basis for velocity model updating, and even the velocities of P waves and S waves can be updated simultaneously, which plays an important role in the establishment of complex geological structure models and positively affects the imaging and understanding of complex underground structures.

[0004] However, the Kirchhoff integral method pre-stack depth migration has a high requirement for the signal-to-noise ratio of seismic data when determining the velocity model, and the single-path travel time and migration arc are serious, which cannot well solve the imaging problem in low signal-to-noise ratio areas, and the Kirchhoff pre-stack depth migration generates Offset gather without azimuth information, and various seismic wave field information is mixed together, which may cause low imaging accuracy. SUMMARY

[0005] In view of the above problems, the embodiments of the present application are proposed to provide a method and device for improving imaging quality, electronic equipment and readable storage medium which overcome the above problems or at least partially solve the above problems.

[0006] According to a first aspect of the present application, a method for improving imaging quality is provided, the method comprising:

[0007] obtaining simulated angle gather data;

[0008] performing feature recognition of the reflected wave field according to the simulated angle gather data to obtain a characteristic representation of the reflected wave field;

[0009] obtaining actual angle gather data generated by actual seismic data;

[0010] obtaining the reflected wave field data according to the actual angle gather data and the characteristic representation of the reflected wave field;

[0011] defining an energy threshold and an amplitude coefficient according to the energy relationship between the reflected wave field data and other wave field data to obtain the reflected wave field data after energy reconstruction;

[0012] The angle gather data after the energy reconstruction of the reflected wave field data are superimposed to obtain the superimposed profile after the energy reconstruction of the reflected wave field data.

[0013] Optionally, acquiring simulated angle gather data includes:

[0014] Based on the simulated observation system and the simulated velocity field model, forward modeling is performed to obtain the simulated gather data;

[0015] Based on the simulated gather data, perform omnidirectional pre-stack depth migration to obtain simulated corner gather data.

[0016] Optionally, the actual angle gather data generated from acquiring actual seismic data includes:

[0017] The ground geophone acquires the gathers of the actual seismic data, and performs the all-round pre-stack depth migration on the gathers of the actual seismic data to obtain the corner gather data of the actual seismic data.

[0018] Optionally, the step of defining an energy threshold and amplitude coefficient based on the energy relationship between the reflected wave field data and other wave field data to obtain the energy-reconstructed reflected wave field data includes:

[0019] Based on the characteristic that the energy of the reflected wave field is stronger than that of the other wave fields, the reflected wave field is distinguished from the other wave fields;

[0020] Define the energy threshold, and in the actual angle gather data, enhance the reflected wave field with an energy value greater than the energy threshold, and weaken the other wave fields with an energy value less than the energy threshold.

[0021] Optionally, the step of superimposing the angle gather data after the energy reconstruction of the reflected wave field data to obtain the superimposed profile after the energy reconstruction of the reflected wave field data includes:

[0022] Based on the reflected wave field data after energy reconstruction, quality control is performed to obtain the quality control results.

[0023] Optionally, the step of performing quality control based on the energy-reconstructed reflected wave field data to obtain quality control results includes:

[0024] The characteristics of the enhanced reflected wave field after energy reconstruction are consistent with the characteristics of the reflected wave field obtained in the simulated angle gather data, and the quality of the reflected wave field data after energy reconstruction is qualified.

[0025] The characteristics of the reflected wave field enhanced by the energy reconstruction are inconsistent with the characteristics of the reflected wave field obtained in the simulated angle gather data, and the quality of the reflected wave field data after energy reconstruction is unqualified.

[0026] Optionally, the step of performing quality control based on the energy-reconstructed reflected wave field data to obtain a quality control result further includes:

[0027] The difference profile is obtained by subtracting the superimposed profile after energy reconstruction of the reflected wave field data from the profile before energy reconstruction of the reflected wave field data.

[0028] The differential profile does not contain the characteristic features of the reflected wave field, and the quality of the reflected wave field data after energy reconstruction is qualified.

[0029] The differential profile contains the characteristics of the reflected wave field, and the quality of the reflected wave field data after energy reconstruction is unqualified.

[0030] According to a second aspect of the present invention, a computing device for improving image quality is provided, the device comprising:

[0031] The first acquisition module is used to acquire simulated angle gather data;

[0032] The feature recognition module is used to perform feature recognition of the reflected wave field based on the simulated angle gather data, and obtain the characteristic characterization of the reflected wave field.

[0033] The second acquisition module is used to acquire actual angle gather data generated from actual seismic data;

[0034] The identification module is used to obtain the reflected wave field data based on the actual angle gather data and the characteristic characterization of the reflected wave field.

[0035] The energy reconstruction module is used to define an energy threshold and an amplitude coefficient based on the energy relationship between the reflected wave field data and other wave field data, and to obtain the reflected wave field data after energy reconstruction.

[0036] The overlay module is used to overlay the angle gather data after the energy reconstruction of the reflected wave field data to obtain the overlay profile after the energy reconstruction of the reflected wave field data.

[0037] According to a third aspect of the present invention, an electronic device is provided, characterized in that it includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0038] Memory, used to store computer programs;

[0039] A processor is used to execute programs stored in memory.

[0040] According to a fourth aspect of the present invention, a computer-readable storage medium is provided on which a computer program is stored.

[0041] This invention provides a method, apparatus, electronic device, and readable storage medium for improving imaging quality. The method involves: acquiring simulated angle gather data; performing feature identification of the reflected wave field based on the simulated angle gather data to obtain a characteristic characterization of the reflected wave field; acquiring actual angle gather data generated from actual seismic data; obtaining the reflected wave field data based on the actual angle gather data and the characteristic characterization of the reflected wave field; defining an energy threshold and amplitude coefficient based on the energy relationship between the reflected wave field data and other wave field data to obtain the energy-reconstructed reflected wave field data; and superimposing the energy-reconstructed angle gather data of the reflected wave field data to obtain a superimposed profile of the energy-reconstructed reflected wave field data. This method of energy reconstruction of reflected waves based on angle gathers can solve the imaging problem of low signal-to-noise ratio data, improve the internal structure of fracture zones, increase the signal-to-noise ratio and continuity, enhance the reliability of seismic interpretation and the understanding of geological laws, and lay the foundation for subsequent interpretation, geological research, and reservoir prediction.

[0042] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0043] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0044] Figure 1 This is a flowchart of a method for improving imaging quality provided by an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of another method for improving imaging quality provided by an embodiment of the present invention;

[0046] Figure 3 yes Figure 2 The flowchart of step 107 in the method for improving image quality is shown;

[0047] Figure 4 yesFigure 2 Another flowchart of step 107 in the method for improving image quality is shown;

[0048] Figure 5 This is a block diagram of an imaging quality improvement device provided in an embodiment of the present invention. Detailed Implementation

[0049] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0050] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0051] The interference source location calculation method, apparatus, electronic device, and readable storage medium provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.

[0052] The first embodiment of the present invention relates to a method for improving image quality, the flowchart of which is shown below. Figure 1 The above includes:

[0053] Step 101: Obtain simulated angle gather data.

[0054] It should be noted that in this embodiment, the theoretical common center point gather is obtained by designing an input simulation observation system and a simulation velocity field model for forward modeling. The theoretical angle gather is then obtained by performing omnidirectional pre-stack depth migration on the obtained common center point gather.

[0055] Step 102: Based on the simulated angle gather data, perform feature identification of the reflected wave field to obtain the characteristic characterization of the reflected wave field.

[0056] It should be noted that, in this embodiment, the obtained theoretical angle gather is analyzed. From the model data, the horizontal reflected wave in the theoretical angle gather is similar to a straight line of energy with a certain inclination angle, and the energy gradually weakens along the x-axis. The tilted reflected wave in the theoretical angle gather is a series of wave-like energy, and the energy increases from weak to strong along the x-axis, with the strongest energy at 15 degrees and then gradually weakening. The dip angle value corresponding to the maximum energy is consistent with the actual dip angle of the strata. This application does not specifically limit the specific value of the dip angle corresponding to the maximum energy.

[0057] Step 103: Obtain actual angle gather data generated from actual seismic data.

[0058] It should be noted that in this embodiment, geophones are deployed on the ground during seismic data acquisition. The geophones can acquire gathers of actual seismic data and perform omnidirectional pre-stack depth migration on the gathers of actual seismic data to obtain the corner gathers of actual seismic data.

[0059] Step 104: Based on the actual angle gather data and the characteristic characterization of the reflected wave field, the reflected wave field data is obtained.

[0060] It should be noted that, in this embodiment, based on the characteristics of the simulated reflected wave field obtained in step 102, the corner gather of the actual seismic data obtained in step 103 uses the characteristics of the simulated reflected wave field to identify the reflected wave field features of the actual seismic data, thereby identifying the reflected wave field in the actual seismic data.

[0061] Step 105: Based on the energy relationship between the reflected wave field data and other wave field data, define the energy threshold and amplitude coefficient to obtain the energy-reconstructed reflected wave field data.

[0062] It should be noted that, in this embodiment, forward modeling reveals that both the horizontal reflected wave field generated by the horizontal interface and the tilted reflected wave field generated by the tilted interface exhibit longitudinal energy correlation in the corner channel set. The reflected wave field has strong longitudinal correlation energy, while other wave fields have weak longitudinal correlation energy. The reflected wave field is distinguished from other wave fields by utilizing their energy characteristics. The distinguished reflected wave fields are then reconstructed to improve the continuity and signal-to-noise ratio of the reflected waves. The specific steps of energy reconstruction include: opening a longitudinal sliding time window from shallow to deep, with a window length of 20 meters and a sliding interval of 10 meters; cross-correlating adjacent time windows to calculate energy correlation, with strongly correlated energy representing the reflected wave field and weakly correlated energy representing other wave fields; defining a correlation energy threshold, multiplying amplitudes in the corner channel set above this threshold by an amplitude coefficient of 1, and decaying amplitudes below this threshold exponentially to 0.1 times their original amplitude. This method reconstructs the reflected wave field energy to improve the continuity of the reflected wave's in-phase axis. This application does not specify the exact values ​​of the energy threshold and amplitude coefficient.

[0063] Step 106: Superimpose the angle gather data after the energy reconstruction of the reflected wave field data to obtain the superimposed profile after the energy reconstruction of the reflected wave field data.

[0064] It should be noted that in this embodiment, the corner gather data after energy reconstruction of the reflected wave field data are superimposed to obtain the superimposed profile after energy reconstruction. In order to preserve the characteristics of the superimposed wave group and to avoid missing weak reflected wave signals, the correlation energy threshold can be adjusted to superimpose the corner gather of the energy-reconstructed reflected wave field again. If the superimposed imaging effect is poor, it is necessary to repeatedly experiment to adjust the values ​​of the correlation energy threshold and amplitude coefficient until the superimposition achieves the best effect. This application does not specifically limit the specific values ​​of the energy threshold and amplitude coefficient.

[0065] Following step 106, this specific embodiment further includes step 107, performing quality control based on the energy-reconstructed reflected wave field data to obtain a quality control result. For example... Figure 2 As shown.

[0066] Specifically, such as Figure 3 As shown, step 107 may include:

[0067] In step 1071, the characteristic characterization of the reflected wave field after energy reconstruction is compared with the theoretical characteristic characterization of the angle gather obtained in step 102.

[0068] In step 1072, if the characteristics of the reflected wave field after energy reconstruction are consistent with the theoretical characteristics of the angle gather obtained in step 102, then the quality of the reflected wave field after energy reconstruction is qualified. Furthermore, the superimposed profile imaging effect obtained by superimposing the angle gathers of the reflected wave field after energy reconstruction is good.

[0069] In step 1073, if the characteristics of the reflected wave field after energy reconstruction are inconsistent with the theoretical characteristics of the angle gather obtained in step 102, then the quality of the reflected wave field after energy reconstruction is unqualified. Furthermore, the superimposed profile imaging effect obtained by superimposing the angle gathers of the reflected wave field after energy reconstruction is poor. Since the quality of the reflected wave field after energy reconstruction is unqualified, and the obtained superimposed profile imaging effect is poor, it is necessary to repeatedly experiment to adjust the values ​​of the energy threshold and amplitude coefficient to achieve the best imaging effect from the superimposed profile. This application does not specifically limit the values ​​of the energy threshold and amplitude coefficient.

[0070] In step 1074, the corner gathers of the reflected wave field after energy reconstruction are superimposed to obtain the superimposed profile of the reflected wave field after energy reconstruction. The superimposed profile after energy reconstruction is subtracted from the profile before energy reconstruction to obtain the difference profile.

[0071] In step 1075, if there is no characteristic feature of the reflected wave field in the differential profile, then the quality of the reflected wave field after energy reconstruction is qualified. Furthermore, the superimposed profile imaging effect obtained by superimposing the corner gathers of the reflected wave field after energy reconstruction is good.

[0072] In step 1076, if the differential profile contains characteristic features of the reflected wave field, then the quality of the reflected wave field after energy reconstruction is unqualified. Furthermore, the superimposed profile obtained by stacking the angle gathers of the reconstructed reflected wave field has poor imaging quality. Since the quality of the reconstructed reflected wave field is unqualified, resulting in poor superimposed profile imaging, it is necessary to repeatedly experiment to adjust the values ​​of the energy threshold and amplitude coefficient to achieve the optimal imaging effect from the superimposed profile. This application does not specifically limit the values ​​of the energy threshold and amplitude coefficient.

[0073] This specific embodiment provides a method for improving imaging quality. The method includes: acquiring simulated angle gather data; performing feature identification of the reflected wave field based on the simulated angle gather data to obtain a characteristic characterization of the reflected wave field; acquiring actual angle gather data generated from actual seismic data; obtaining the reflected wave field data based on the actual angle gather data and the characteristic characterization of the reflected wave field; defining an energy threshold and amplitude coefficient based on the energy relationship between the reflected wave field data and other wave field data to obtain the energy-reconstructed reflected wave field data; and superimposing the energy-reconstructed angle gather data of the reflected wave field data to obtain a superimposed profile of the energy-reconstructed reflected wave field data. This specific embodiment provides a method for improving imaging quality based on the energy reconstruction of the reflected wave field from angle gathers, which improves imaging accuracy and solves the imaging problem of complex low signal-to-noise ratio data. Superimposing the angle gathers of the energy-reconstructed reflected wave field achieves the continuity of the reflected wave phase axis, enhances the reliability of seismic interpretation and the understanding of geological laws, and lays the foundation for subsequent interpretation, geological research, and reservoir prediction.

[0074] The second embodiment of the present invention relates to an apparatus for improving image quality, as shown in the following figure. Figure 4 As shown, the device may specifically include:

[0075] The first acquisition module 501 is used to acquire simulated angle gather data;

[0076] The feature recognition module 502 is used to perform feature recognition of the reflected wave field based on the simulated angle gather data, and obtain the characteristic characterization of the reflected wave field.

[0077] The second acquisition module 503 is used to acquire actual angle gather data generated from actual seismic data;

[0078] The identification module 504 is used to obtain the reflected wave field data based on the actual angle gather data and the characteristic characterization of the reflected wave field.

[0079] The energy reconstruction module 505 is used to define an energy threshold and an amplitude coefficient based on the energy relationship between the reflected wave field data and other wave field data, and to obtain the reflected wave field data after energy reconstruction.

[0080] The superposition module 506 is used to superimpose the angle gather data after the energy reconstruction of the reflected wave field data to obtain the superimposed profile after the energy reconstruction of the reflected wave field data.

[0081] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0082] This specific embodiment provides a method for improving imaging quality. The method includes: acquiring simulated angle gather data; performing feature identification of the reflected wave field based on the simulated angle gather data to obtain a characteristic characterization of the reflected wave field; acquiring actual angle gather data generated from actual seismic data; obtaining the reflected wave field data based on the actual angle gather data and the characteristic characterization of the reflected wave field; defining an energy threshold and amplitude coefficient based on the energy relationship between the reflected wave field data and other wave field data to obtain the energy-reconstructed reflected wave field data; and superimposing the energy-reconstructed angle gather data of the reflected wave field data to obtain a superimposed profile of the energy-reconstructed reflected wave field data. This specific embodiment provides a method for improving imaging quality based on the energy reconstruction of the reflected wave field from angle gathers, which improves imaging accuracy and solves the imaging problem of complex low signal-to-noise ratio data. Superimposing the angle gathers of the energy-reconstructed reflected wave field achieves the continuity of the reflected wave phase axis, enhances the reliability of seismic interpretation and the understanding of geological laws, and lays the foundation for subsequent interpretation, geological research, and reservoir prediction.

[0083] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0084] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, storable media, and processors. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0085] In a typical configuration, the computer device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory. Memory may include non-persistent memory in computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media. Computer-readable media includes both permanent and non-persistent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device. As defined in this article, computer-readable media do not include transient media, such as modulated data signals and carrier waves.

[0086] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0087] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0089] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0090] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device 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 terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0091] The present invention has provided a detailed description of a method, apparatus, storable medium, and processor for improving imaging quality. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for improving image quality, characterized in that, The method includes: Acquire simulated angle gather data; Based on the simulated angle gather data, the characteristics of the reflected wave field are identified to obtain the characteristic representation of the reflected wave field. Acquire actual angle gather data generated from actual seismic data; The reflected wave field data is obtained based on the actual angle gather data and the characteristic characterization of the reflected wave field. Based on the energy relationship between the reflected wave field data and other wave field data, an energy threshold and amplitude coefficient are defined to obtain the energy-reconstructed reflected wave field data. The angle gather data after the energy reconstruction of the reflected wave field data are superimposed to obtain the superimposed profile after the energy reconstruction of the reflected wave field data. The acquisition of simulated angle gather data includes: Based on the simulated observation system and the simulated velocity field model, forward modeling is performed to obtain simulated gather data; Based on the simulated gather data, perform omnidirectional pre-stack depth migration to obtain the simulated corner gather data; The actual angle gather data generated from acquiring actual seismic data includes: The ground geophone acquires the gathers of the actual seismic data, and performs the all-round pre-stack depth migration on the gathers of the actual seismic data to obtain the corner gather data of the actual seismic data.

2. The method according to claim 1, characterized in that, The step of defining an energy threshold and amplitude coefficient based on the energy relationship between the reflected wave field data and other wave field data to obtain the energy-reconstructed reflected wave field data includes: Based on the characteristic that the energy of the reflected wave field is stronger than that of the other wave fields, the reflected wave field is distinguished from the other wave fields; Define the energy threshold, and in the actual angle gather data, enhance the reflected wave field with an energy value greater than the energy threshold, and weaken the other wave fields with an energy value less than the energy threshold.

3. The method according to claim 1, characterized in that, The step of superimposing the angle gather data after the energy reconstruction of the reflected wave field data to obtain the superimposed profile after the energy reconstruction of the reflected wave field data includes: Based on the reflected wave field data after energy reconstruction, quality control is performed to obtain the quality control results.

4. The method according to claim 3, characterized in that, The process of performing quality control based on the energy-reconstructed reflected wave field data to obtain quality control results includes: The characteristics of the reflected wave field enhanced by the energy reconstruction are compared with the characteristics of the reflected wave field obtained in the simulated angle gather data. The characteristics of the enhanced reflected wave field after energy reconstruction are consistent with the characteristics of the reflected wave field obtained in the simulated angle gather data, and the quality of the reflected wave field data after energy reconstruction is qualified. The characteristics of the reflected wave field enhanced by the energy reconstruction are inconsistent with the characteristics of the reflected wave field obtained in the simulated angle gather data, and the quality of the reflected wave field data after energy reconstruction is unqualified.

5. The method according to claim 3, characterized in that, The step of performing quality control based on the energy-reconstructed reflected wave field data to obtain quality control results further includes: The difference profile is obtained by subtracting the superimposed profile after energy reconstruction of the reflected wave field data from the profile before energy reconstruction of the reflected wave field data. The differential profile does not contain the characteristic features of the reflected wave field, and the quality of the reflected wave field data after energy reconstruction is qualified. The differential profile contains the characteristics of the reflected wave field, and the quality of the reflected wave field data after energy reconstruction is unqualified.

6. A device for improving image quality, characterized in that, include: The first acquisition module is used to acquire simulated angle gather data; The feature recognition module is used to perform feature recognition of the reflected wave field based on the simulated angle gather data, and obtain the characteristic characterization of the reflected wave field. The second acquisition module is used to acquire actual angle gather data generated from actual seismic data; The identification module is used to obtain the reflected wave field data based on the actual angle gather data and the characteristic characterization of the reflected wave field. The energy reconstruction module is used to define an energy threshold and an amplitude coefficient based on the energy relationship between the reflected wave field data and other wave field data, and to obtain the reflected wave field data after energy reconstruction. The superposition module is used to superimpose the corner gather data after the energy reconstruction of the reflected wave field data to obtain the superimposed profile after the energy reconstruction of the reflected wave field data. The acquisition of simulated angle gather data includes: Based on the simulated observation system and the simulated velocity field model, forward modeling is performed to obtain simulated gather data; Based on the simulated gather data, perform omnidirectional pre-stack depth migration to obtain the simulated corner gather data; The actual angle gather data generated from acquiring actual seismic data includes: The ground geophone acquires the gathers of the actual seismic data, and performs omnidirectional pre-stack depth migration on the gathers of the actual seismic data to obtain the corner gather data of the actual seismic data.

7. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method of any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the steps of the method as described in any one of claims 1 to 5.

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