Seismic signal recovery method, device, equipment and medium

Abstract

The invention discloses a seismic signal recovery method and device, equipment and a medium. The method comprises the following steps: performing forward modeling on logging data of a target reservoir to determine a target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform enabling the target reservoir to present wave crest reflection or wave trough reflection; determining a target horizon corresponding to the target seismic waveform according to the target seismic waveform; and tracking the target horizon, and performing energy enhancement on the seismic waveform to be adjusted in the target horizon to obtain a post-stack recovery seismic data volume. According to the technical scheme, the weak seismic signal in the reservoir is enhanced, the influence of the main contribution waveform of the reservoir reflection characteristics on the weak seismic signal is fully considered through logging forward modeling analysis, and the seismic signal recovery accuracy is improved.

Description

Technical Field

[0001] The present application relates to the technical field of petroleum geophysical exploration, and in particular to a method, device, equipment and medium for recovering seismic signals. Background Art

[0002] In recent years, oil and gas exploration has entered the stage of detailed exploration. Thin-layer sandstone, shale and carbonate oil and gas reservoirs have become important exploration areas for increasing oil and gas production and reserves in China. The single-layer thickness of continental sandstone reservoirs in basins in eastern China is mostly below 5 meters, the marine Longmaxi Formation shale reservoirs in the Sichuan Basin in western China are mostly below 10 meters, and the deep Maokou Formation dolomite reservoirs in central Sichuan are mostly below 15 meters. The use of seismic data to effectively predict thin reservoirs is currently the biggest difficulty in the exploration of thin-layer oil and gas reservoirs. Among them, the main research difficulties are as follows: 1) Due to the thin reservoir, the seismic response characteristics of the reservoir are not obvious; 2) Affected by the thick surrounding rocks overlying and underlying the reservoir, the reservoir seismic signal is significantly weakened, and the reservoir seismic response energy is weak.

[0003] At present, the post-stack seismic signal recovery mainly considers the impact of strong reflection shielding overlying the reservoir. The core idea of ​​this technical idea is to reduce the shielding of strong reflection waveforms, thereby highlighting the reflection characteristics of the reservoir. Specifically, the strong reflection waveform is first separated, and then subtracted according to the preset criteria. Among them, the decomposition of the strong reflection waveform is to decompose the strong reflection waveform into a linear combination of a series of basis functions, and introduce a strong reflection shielding function during waveform reconstruction to suppress the large reflection coefficient to reduce the strong reflection waveform.

[0004] Although the above method has achieved certain effects in the recovery of post-stack seismic weak signals, it still has the following two shortcomings: 1) For the seismic reflection characteristics of thin reservoirs, the amount of strong reflection shielding is difficult to determine accurately, which may result in excessive or light shielding of strong reflections; 2) Quality control is difficult after strong reflection shielding is removed, and it is difficult to ensure the accuracy of the seismic response characteristics of the reservoir after the recovery of weak seismic signals. Reservoirs may appear where there are no reservoirs, which increases the error in reservoir prediction and cannot effectively guide oil and gas exploration.

[0005] Therefore, how to provide a technical solution for accurately restoring seismic signals is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0006] The present application provides a method, device, equipment and medium for recovering seismic signals to achieve the following: According to one aspect of the present application, a method for recovering seismic signals is provided, the method comprising:

[0007] Performing forward simulation on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform that causes the target reservoir to present a crest reflection or a trough reflection;

[0008] According to the target seismic waveform, determining a target layer corresponding to the target seismic waveform;

[0009] The target layer is tracked, and the energy of the seismic waveform to be adjusted in the target layer is enhanced to obtain post-stack restored seismic data.

[0010] According to another aspect of the present application, a seismic signal recovery device is provided, the device comprising:

[0011] A target seismic waveform determination module is used to perform forward simulation on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform that causes the target reservoir to present a crest reflection or a trough reflection;

[0012] A target layer determination module, used to determine a target layer corresponding to the target seismic waveform according to the target seismic waveform;

[0013] The seismic signal recovery module is used to track the target layer, enhance the energy of the seismic waveform to be adjusted in the target layer, and obtain post-stack recovery seismic data.

[0014] According to another aspect of the present application, a seismic signal recovery device is provided, the device comprising:

[0015] 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, and the computer program is executed by the at least one processor so that the at least one processor can execute the seismic signal recovery method described in any embodiment of the present application.

[0018] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the seismic signal recovery method described in any embodiment of the present application when executed.

[0019] The technical solution provided by the present application determines the target seismic waveform of the target reservoir by forward modeling the well logging data of the target reservoir; wherein the target seismic waveform is a waveform that makes the target reservoir present a peak reflection or a trough reflection; according to the target seismic waveform, the target layer corresponding to the target seismic waveform is determined; the target layer is tracked, and the energy of the seismic waveform to be adjusted in the target layer is enhanced to obtain post-stack recovery seismic data. This technical solution can enhance the weak seismic signal in the reservoir, and through the well logging forward modeling analysis, the influence of the main contribution waveform of the reservoir reflection characteristics on the weak seismic signal is fully considered, thereby improving the accuracy of seismic signal recovery.

[0020] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application 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 application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 A flowchart of a method for recovering seismic signals provided in Example 1 of the present application;

[0023] Figure 2 A schematic diagram of a well logging forward simulation provided in Example 1 of the present application;

[0024] Figure 3 A schematic diagram of a target interpretation result provided in Example 1 of the present application;

[0025] Figure 4a A schematic diagram of a post-stack initial seismic profile provided in Example 1 of the present application;

[0026] Figure 4b A schematic diagram of a post-stack restored seismic profile provided in Example 1 of the present application;

[0027] Figure 5 A flowchart of a method for recovering seismic signals provided in Example 2 of the present application;

[0028] Figure 6 A schematic diagram of well seismic calibration for a thin dolomite reservoir provided in Example 2 of the present application;

[0029] Figure 7a A first plan view schematically provided for Embodiment 2 of the present application;

[0030] Figure 7b A second plan view schematically provided for Embodiment 2 of the present application;

[0031] Figure 8 A schematic diagram of the structure of a seismic signal recovery device provided in Example 3 of the present application;

[0032] Fig. 9 It is a structural schematic diagram of a device for implementing a method for recovering seismic signals in an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0034] It should be noted that the terms "target", "to be adjusted", "recovery", "initial", etc. in the specification and claims of the present application 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 interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations 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.

[0035] Embodiment 1

[0036] Figure 1 This is a flowchart of a method for recovering seismic signals provided in the first embodiment of the present application. This embodiment is applicable to the case of recovering weak seismic signals in thin reservoirs. The method can be executed by a seismic signal recovery device. The seismic signal recovery device can be implemented in the form of hardware and / or software. The seismic signal recovery device can be configured in a device with data processing capabilities. Figure 1 As shown, the method includes:

[0037] S110, forward modeling is performed on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir, wherein the target seismic waveform is a waveform that causes the target reservoir to present a crest reflection or a trough reflection.

[0038] The target reservoir may be a thin reservoir section, which may be determined based on well logging data or core analysis data. The well logging data may include well logging acoustic wave curves, well logging lithology data, and layering data. The target seismic waveform may be the main contributing waveform that causes the target reservoir to present a peak reflection or a trough reflection.

[0039] Specifically, forward simulation is divided into physical simulation and numerical simulation. Physical simulation simulates the propagation process and phenomena of seismic wave fields and wave field records at the receiving point through physical experiments, while numerical simulation simulates the actual geological model in a computer environment based on the elastic medium wave field propagation theory.

[0040] In the embodiment of the present invention, forward simulation can be performed on the target reservoir based on the well logging acoustic wave curve, and the target seismic waveform that makes the target reservoir present crest reflection or trough reflection can be determined according to the forward simulation result.

[0041] As an optional but non-limiting implementation, forward simulation is performed on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir, including but not limited to the following steps A1 to A2:

[0042] Step A1: forward modeling the well logging data of the target reservoir to determine the seismic reflection characteristic type of the target reservoir; the seismic reflection characteristic type includes crest reflection and trough reflection.

[0043] The seismic reflection characteristic type may be a seismic response characteristic of a target reservoir, including a crest reflection and a trough reflection. The seismic reflection characteristic type may be determined based on forward modeling results.

[0044] Step A2: determining a target seismic waveform of the target reservoir according to the seismic reflection feature type.

[0045] In general, the target seismic waveform and the seismic reflection characteristic type appear in pairs. For example, if the seismic reflection characteristic type is a crest reflection, the target seismic waveform is a trough, and if the seismic reflection characteristic type is a trough reflection, the target seismic waveform is a crest. In an embodiment of the present invention, the target seismic waveform can be determined based on the seismic reflection characteristic type and the logging forward simulation results.

[0046] For example, a thin dolomite reservoir section in a western basin is used as an example to explain: Figure 2 A schematic diagram of a well logging forward modeling provided in Example 1 of the present application. Figure 2 As shown in the figure, according to the well logging data or reservoir core data analysis, the shaded part in the figure is the target reservoir S. According to the seismic waveform diagram, it is determined that the target reservoir S presents a weak peak reflection feature, and its underlying trough is the main contributing waveform to the formation of this peak, that is, the target seismic waveform, which is the peak sidelobe of the underlying trough.

[0047] The beneficial effect of the above technical solution is that it can clarify the cause of the seismic reflection characteristics of thin reservoirs, which is conducive to the targeted recovery of weak seismic signals of thin reservoirs.

[0048] S120. Determine a target layer corresponding to the target seismic waveform according to the target seismic waveform.

[0049] In the embodiment of the present invention, the target layer position can be determined based on the layer data in the target reservoir logging data and the target seismic waveform.

[0050] S130, tracking the target layer, performing energy enhancement on the seismic waveform to be adjusted in the target layer, and obtaining post-stack restored seismic data.

[0051] The seismic waveform to be adjusted may be the seismic waveform of the area where the target reservoir is located in the seismic profile.

[0052] In the embodiment of the present invention, the target horizon can be tracked by horizon constraint, and then the seismic waveform in the target reservoir area in the target horizon can be energy enhanced to obtain post-stack restored seismic data. In this way, the weak seismic signal of the target reservoir can be enhanced and restored in a targeted manner, thereby improving the prediction capability of thin reservoirs.

[0053] As an optional but non-limiting implementation, tracking the target horizon, performing energy enhancement on the seismic waveform to be adjusted in the target horizon, and obtaining a post-stack restored seismic data volume include but are not limited to the following steps B1 to B2:

[0054] Step B1, tracking the target layer, and performing seismic layer interpretation on the target layer to obtain a target interpretation result.

[0055] The target interpretation result can be a horizon interpretation map. Specifically, under the guidance of geological structure and sedimentation model, a fine horizon interpretation can be performed for the target horizon where the target seismic waveform of the target reservoir is located, and the picked target horizon can be interpolated and smoothed to ensure that the interpreted target horizon can accurately represent the target seismic waveform.

[0056] Step B2: energy-enhancing the waveform to be adjusted in the target interpretation result to obtain a post-stack restored seismic data volume.

[0057] Specifically, the waveform to be adjusted can be intercepted from the target interpretation result, and the energy of the waveform to be adjusted can be enhanced under the constraint of the target layer, so that the waveform characteristics of the target reservoir are more prominent, thereby achieving the purpose of seismic signal recovery. Furthermore, the post-stack recovery seismic data volume can be determined based on the target interpretation result after energy enhancement.

[0058] As an example, a deep thin dolomite reservoir section in a western basin is used for explanation. Figure 3 A schematic diagram of a target interpretation result provided in Example 1 of the present application is shown in FIG. Figure 3 As shown in the figure, it is the horizon interpretation diagram of the target seismic waveform as the underlying trough, A represents the target reservoir section, B represents the underlying trough section, C represents the non-reservoir section, and s represents the target horizon. Figure 3 The target interpretation results shown in the figure are as follows. The waveform to be adjusted is constrained in layers and the energy of the underlying trough is enhanced. Figure 4b The post-stack seismic profile is shown in Figure 1. Figure 4a A schematic diagram of a post-stack initial seismic profile provided in Example 1 of the present application, Figure 4b A schematic diagram of a post-stack seismic profile provided in Example 1 of the present application. Figure 4a and Figure 4b It can be seen that the weak signal of the target reservoir is significantly enhanced.

[0059] The embodiment of the present invention provides a method for recovering seismic signals, which determines the target seismic waveform of the target reservoir by forward modeling the well logging data of the target reservoir; wherein the target seismic waveform is a waveform that makes the target reservoir present a peak reflection or a trough reflection; according to the target seismic waveform, the target layer corresponding to the target seismic waveform is determined; the target layer is tracked, and the energy of the seismic waveform to be adjusted in the target layer is enhanced to obtain post-stack recovered seismic data. This technical solution can enhance the weak seismic signal in the reservoir, and through the well logging forward modeling analysis, fully consider the influence of the main contribution waveform of the reservoir reflection characteristics on the weak seismic signal, thereby improving the accuracy of seismic signal recovery.

[0060] Embodiment 2

[0061] Figure 5 This is a flow chart of a method for recovering seismic signals provided in Example 2 of the present application. This example is optimized based on the above example. Figure 5 As shown, the method of this embodiment specifically includes the following steps:

[0062] S210, forward modeling is performed on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir, wherein the target seismic waveform is a waveform that causes the target reservoir to present a crest reflection or a trough reflection.

[0063] S220, according to the target seismic waveform, determining the target layer corresponding to the target seismic waveform.

[0064] S230, tracking the target layer, and performing energy enhancement on the seismic waveform to be adjusted in the target layer to obtain a post-stack restored seismic data volume.

[0065] S240, determining a target evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume, the well logging data, and the post-stack initial seismic data volume of the target reservoir, wherein the post-stack initial seismic data volume is a seismic data volume corresponding to the seismic waveform to be adjusted, and the target evaluation result is used to indicate the accuracy of the post-stack restored seismic data volume.

[0066] The post-stack initial seismic data volume of the target reservoir may be a seismic data volume formed by superimposing the seismic waves after the seismic wave acquisition equipment acquires them. In the embodiment of the present invention, the consistency of the geological laws of the seismic signals before and after the recovery can be determined by comparing the post-stack restored seismic data volume, the well logging data and the post-stack initial seismic data volume of the target reservoir.

[0067] As an optional but non-limiting implementation, determining a target evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume, the well logging data and the post-stack initial seismic data volume of the target reservoir includes but is not limited to the following steps C1 to C2:

[0068] Step C1: determining a first evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume and the well logging data.

[0069] The first evaluation result is used to indicate whether the post-stack restored seismic data volume and the well logging data are consistent. In an embodiment of the present invention, the first evaluation result of the post-stack restored seismic data volume can be determined by comparing whether the seismic reflection feature type exhibited by the post-stack restored seismic data volume is consistent with the seismic reflection feature type obtained from the well logging data.

[0070] Optionally, a first evaluation result of the post-stack recovered seismic data volume is determined based on the post-stack recovered seismic data volume and the well logging data, including: performing well seismic calibration on the post-stack recovered seismic data volume to determine the well seismic calibration result; and determining the first evaluation result of the post-stack recovered seismic data volume based on the matching degree between the well seismic calibration result and the well logging data.

[0071] The vertical scale of the well logging data is depth, and the vertical scale of the post-stack restored seismic data body is time. In the embodiment of the present invention, well seismic calibration is performed on the post-stack restored seismic data body and the well logging data, and the predicted seismic reflection feature type of the target reservoir is determined according to the well seismic calibration result; the predicted seismic reflection feature type is matched with the seismic reflection feature type obtained according to the well logging data; if the two are the same, the first evaluation result is consistent, and if the two are different, the first evaluation result is inconsistent.

[0072] For example, the thin dolomite reservoir developed deep in a basin in the west is used for explanation. Figure 6 A schematic diagram of well seismic calibration for a thin dolomite reservoir provided in Example 2 of the present application is shown in FIG. Figure 6 As shown, the seismic reflection characteristic type of the target reservoir segment in the initial post-stack seismic data volume is weak crest reflection. After the well-seismic calibration of the post-stack restored seismic data volume, it can be determined based on the well-seismic calibration results that the crest reflection characteristics of the target reservoir segment in the well-seismic calibration results are clearer. Therefore, it can be determined that the first evaluation result of the post-stack restored seismic data volume of the developed thin dolomite reservoir is consistent.

[0073] Step C2: determining a second evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume and the post-stack initial seismic data volume of the target reservoir.

[0074] The second evaluation result is used to indicate whether the post-stack restored seismic data volume is consistent with the post-stack initial seismic data volume. In the embodiment of the present invention, by comparing the post-stack restored seismic data volume with the post-stack initial seismic data volume, it can be determined whether the post-stack restored seismic data volume conforms to the reservoir geological distribution law.

[0075] Optionally, a second evaluation result of the post-stack restored seismic data volume is determined based on the post-stack restored seismic data volume and the post-stack initial seismic data volume of the target reservoir, including: taking the maximum peak amplitude attribute plane map in the post-stack initial seismic data volume as the first plane map; taking the maximum peak amplitude attribute plane map in the post-stack restored seismic data volume as the second plane map; and determining the second evaluation result of the post-stack restored seismic data volume based on the first plane map and the second plane map.

[0076] The maximum peak amplitude can be the maximum positive amplitude in the time window, and the maximum peak amplitude attribute plane map can be used for reservoir analysis and lithologic phase change analysis. In the embodiment of the present invention, by comparing the plane distribution characteristics of the maximum peak amplitude attribute plane map in the initial post-stack seismic data volume and the maximum peak amplitude attribute plane map in the post-stack restored seismic data volume, it is determined whether the post-stack restored seismic data volume is more consistent with the geological understanding and deposition model.

[0077] For example, the thin dolomite reservoir developed deep in a basin in the west is used for explanation. Figure 7a A first plan view provided in Embodiment 2 of the present application, Figure 7b A second plan view of the second embodiment of the present application is provided. Figure 7a As shown, the area around wells 1 and 2 has the largest peak amplitude, while in Figure 7b In the plane map of the maximum peak amplitude attribute in the post-stack recovered seismic data volume after seismic signal recovery, there is no maximum peak amplitude in the area around Well 1 and Well 2, and its plane distribution characteristics are more consistent with geological understanding and sedimentary model.

[0078] Step C3: Determine a target evaluation result of the post-stack restored seismic data volume according to the first evaluation result and the second evaluation result.

[0079] Specifically, based on the first evaluation results and the second evaluation results, the post-stack seismic weak signal recovery results of the target reservoir can be comprehensively evaluated, the distribution patterns of the actual logging data and the post-stack initial seismic data body can be fully considered, and the accuracy of the post-stack restored seismic data body can be scientifically verified.

[0080] The embodiment of the present invention provides a method for recovering seismic signals, which determines the target seismic waveform of the target reservoir by forward modeling the well logging data of the target reservoir; wherein the target seismic waveform is a waveform that makes the target reservoir present a peak reflection or a trough reflection; according to the target seismic waveform, the target layer corresponding to the target seismic waveform is determined; the target layer is tracked, and the energy of the seismic waveform to be adjusted in the target layer is enhanced to obtain a post-stack recovered seismic data body; according to the post-stack recovered seismic data body, the well logging data and the post-stack initial seismic data body of the target reservoir, the target evaluation result of the post-stack recovered seismic data body is determined; wherein the post-stack initial seismic data body is the seismic data body corresponding to the seismic waveform to be adjusted, and the target evaluation result is used to indicate the accuracy of the post-stack recovered seismic data body. This technical solution realizes the quality control and comprehensive evaluation of the seismic recovery signal, and ensures the accuracy of the post-stack recovered seismic data body.

[0081] Embodiment 3

[0082] Figure 8 This is a schematic diagram of the structure of a seismic signal recovery device provided in Example 3 of the present application. Figure 8 As shown, the device comprises:

[0083] The target seismic waveform determination module 310 is used to perform forward simulation on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform that makes the target reservoir present a crest reflection or a trough reflection;

[0084] A target layer determination module 320 is used to determine a target layer corresponding to the target seismic waveform according to the target seismic waveform;

[0085] The seismic signal recovery module 330 is used to track the target layer, enhance the energy of the seismic waveform to be adjusted in the target layer, and obtain a post-stack recovered seismic data volume.

[0086] The embodiment of the present invention provides a seismic signal recovery device, which determines the target seismic waveform of the target reservoir by forward modeling the well logging data of the target reservoir; wherein the target seismic waveform is a waveform that makes the target reservoir present a peak reflection or a trough reflection; according to the target seismic waveform, the target layer corresponding to the target seismic waveform is determined; the target layer is tracked, and the energy of the seismic waveform to be adjusted in the target layer is enhanced to obtain post-stack recovery seismic data. This technical solution can realize the enhancement of weak seismic signals in the reservoir, and through the well logging forward modeling analysis, the influence of the main contribution waveform of the reservoir reflection characteristics on the weak seismic signal is fully considered, thereby improving the accuracy of seismic signal recovery.

[0087] Furthermore, the target seismic waveform determination module 310 includes:

[0088] A seismic reflection characteristic type determination unit is used to perform forward simulation on the well logging data of the target reservoir to determine the seismic reflection characteristic type of the target reservoir; the seismic reflection characteristic type includes crest reflection and trough reflection;

[0089] The target seismic waveform determination unit is used to determine the target seismic waveform of the target reservoir according to the seismic reflection feature type.

[0090] Furthermore, the seismic signal recovery module 330 includes:

[0091] A seismic horizon interpretation unit, used for tracking the target horizon and performing seismic horizon interpretation on the target horizon to obtain a target interpretation result;

[0092] The seismic signal recovery unit is used to enhance the energy of the waveform to be adjusted in the target interpretation result to obtain a post-stack recovered seismic data volume.

[0093] Furthermore, the device also includes:

[0094] A seismic recovery signal evaluation module is used to track the target layer, enhance the energy of the seismic waveform to be adjusted in the target layer, and obtain a post-stack recovered seismic data volume. Then, according to the post-stack recovered seismic data volume, the logging data and the post-stack initial seismic data volume of the target reservoir, determine a target evaluation result of the post-stack recovered seismic data volume; wherein the post-stack initial seismic data volume is a seismic data volume corresponding to the seismic waveform to be adjusted, and the target evaluation result is used to indicate the accuracy of the post-stack recovered seismic data volume.

[0095] Furthermore, the earthquake recovery signal evaluation module includes:

[0096] A first evaluation unit, configured to determine a first evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume and the well logging data;

[0097] A second evaluation unit, configured to determine a second evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume and the post-stack initial seismic data volume of the target reservoir;

[0098] A comprehensive evaluation unit is used to determine a target evaluation result of the post-stack restored seismic data volume according to the first evaluation result and the second evaluation result.

[0099] Furthermore, the first evaluation unit includes:

[0100] A well seismic calibration subunit, used for performing well seismic calibration on the post-stack recovered seismic data volume and determining the well seismic calibration result;

[0101] The first evaluation subunit is used to determine a first evaluation result of the post-stack restored seismic data volume according to the matching degree between the well seismic calibration result and the well logging data.

[0102] Furthermore, the second evaluation unit comprises:

[0103] A first plane extraction subunit is used to use the maximum wave peak amplitude attribute plane map in the post-stack initial seismic data volume as the first plane map;

[0104] A second plane extraction subunit is used to use the maximum wave peak amplitude attribute plane map in the post-stack restored seismic data volume as the second plane map;

[0105] The second evaluation subunit is used to determine a second evaluation result of the post-stack restored seismic data volume according to the first plan view and the second plan view.

[0106] A seismic signal recovery device provided in an embodiment of the present application can execute a seismic signal recovery method provided in any embodiment of the present application, and has functional modules and beneficial effects corresponding to the execution method.

[0107] Embodiment 4

[0108] Fig. 9 A schematic diagram of a device 10 that can be used to implement an embodiment of the present application is shown. The device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, 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 application described and / or required herein.

[0109] like Fig. 9 As shown, the device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0110] A number of components in the device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0111] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for recovering seismic signals.

[0112] In some embodiments, the method for recovering seismic signals may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for recovering seismic signals described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method for recovering seismic signals in any other appropriate manner (e.g., by means of firmware).

[0113] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] The computer programs for implementing the methods of the present application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer programs are executed by the processor, the functions / operations specified in the flow charts and / or block diagrams are implemented. The computer programs may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0115] In the context of the present application, a computer readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device or equipment. A computer readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer readable storage medium may be a machine readable signal medium. A more specific example of a machine readable storage medium may include an electrical connection based on one or more lines, 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 foregoing.

[0116] To provide interaction with a user, the systems and techniques described herein can be implemented on a device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0117] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0118] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0119] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution of this application can be achieved, and this document is not limited here.

[0120] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for recovering seismic signals, characterized in that: The method comprises: Performing forward simulation on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform that causes the target reservoir to present a crest reflection or a trough reflection; According to the target seismic waveform, determining a target layer corresponding to the target seismic waveform; The target layer is tracked, and the energy of the seismic waveform to be adjusted in the target layer is enhanced to obtain a post-stack restored seismic data volume.

2. The method according to claim 1, characterized in that: Performing forward simulation on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir includes: Performing forward simulation on the well logging data of the target reservoir to determine the seismic reflection characteristic type of the target reservoir; the seismic reflection characteristic type includes crest reflection and trough reflection; A target seismic waveform of the target reservoir is determined according to the seismic reflection feature type.

3. The method according to claim 1, characterized in that Tracking the target layer, enhancing the energy of the seismic waveform to be adjusted in the target layer, and obtaining a post-stack restored seismic data volume, including: Tracking the target layer, and performing seismic layer interpretation on the target layer to obtain a target interpretation result; The waveform to be adjusted in the target interpretation result is energy-enhanced to obtain a post-stack restored seismic data volume.

4. The method according to claim 1, characterized in that After tracking the target layer, performing energy enhancement on the seismic waveform to be adjusted in the target layer, and obtaining a post-stack restored seismic data volume, the method further includes: A target evaluation result of the post-stack restored seismic data volume is determined based on the post-stack restored seismic data volume, the well logging data and the post-stack initial seismic data volume of the target reservoir; wherein the post-stack initial seismic data volume is a seismic data volume corresponding to the seismic waveform to be adjusted, and the target evaluation result is used to indicate the accuracy of the post-stack restored seismic data volume.

5. The method according to claim 4, characterized in that Determining a target evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume, the well logging data, and the post-stack initial seismic data volume of the target reservoir includes: Determining a first evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume and the well logging data; determining a second evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume and the post-stack initial seismic data volume of the target reservoir; A target evaluation result of the post-stack restored seismic data volume is determined according to the first evaluation result and the second evaluation result.

6. The method according to claim 5, characterized in that Determining a first evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume and the well logging data includes: Performing well-seismic calibration on the post-stack restored seismic data volume and determining the well-seismic calibration result; A first evaluation result of the post-stack restored seismic data volume is determined according to the matching degree between the well seismic calibration result and the well logging data.

7. The method according to claim 5, characterized in that Determining a second evaluation result of the post-stack restored seismic data volume according to the post-stack restored seismic data volume and the post-stack initial seismic data volume of the target reservoir includes: Taking the maximum wave peak amplitude attribute plane map in the post-stack initial seismic data volume as the first plane map; Using the maximum wave peak amplitude attribute plane map in the post-stack restored seismic data volume as the second plane map; A second evaluation result of the post-stack restored seismic data volume is determined according to the first plan view and the second plan view.

8. A seismic signal recovery device, characterized in that: The device comprises: A target seismic waveform determination module is used to perform forward simulation on the well logging data of the target reservoir to determine the target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform that causes the target reservoir to present a crest reflection or a trough reflection; A target layer determination module, used to determine a target layer corresponding to the target seismic waveform according to the target seismic waveform; The seismic signal recovery module is used to track the target layer, enhance the energy of the seismic waveform to be adjusted in the target layer, and obtain a post-stack recovery seismic data volume.

9. An electronic device, characterized in that: The 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 to enable the at least one processor to perform the method for recovering seismic signals 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 seismic signal recovery method described in any one of claims 1-7 when executed.

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