A method, apparatus, device and medium for recovering a seismic signal

Abstract

The application discloses a seismic signal recovery method, device, equipment and medium. The method comprises the following steps: determining a target seismic waveform of a target reservoir by forward modeling on logging data of the target reservoir; the target seismic waveform is a waveform that makes the target reservoir present a peak reflection or a trough reflection; determining a target horizon corresponding to the target seismic waveform according to the target seismic waveform; tracking the target horizon, and performing energy enhancement on a to-be-adjusted seismic waveform in the target horizon to obtain a post-stack recovery seismic data volume. The technical scheme can strengthen weak seismic signals in the reservoir, fully considers the influence of the main contribution waveform of the reservoir reflection characteristics on the weak seismic signals through logging forward analysis, and improves the accuracy of seismic signal recovery.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil geophysical exploration, and particularly relates to a seismic signal recovery method, device, equipment and medium. BACKGROUND

[0002] In recent years, oil and gas exploration has entered a fine exploration stage, and thin sandstone, shale and carbonate rock oil and gas reservoirs have become important exploration fields for increasing domestic oil and gas production and reserves. The single-layer thickness of continental sandstone reservoirs in eastern China is mostly below 5 meters, the shale reservoirs of the marine Longmaxi Formation in the Sichuan Basin in western China are mostly below 10 meters, and the dolomite reservoirs of the Maokou Formation in the central Sichuan Basin are mostly below 15 meters. Therefore, effectively predicting thin reservoirs by using seismic data is currently the biggest difficulty in thin reservoir exploration. The main research difficulties are as follows: 1) the reservoir is thin, resulting in unclear reservoir seismic response characteristics; and 2) the reservoir seismic signal is significantly weakened due to the influence of overlying and underlying thick surrounding rocks, and the reservoir seismic response energy is weak.

[0003] At present, the post-stack seismic signal recovery mainly considers the influence of strong reflection shielding of the overlying reservoir. The core idea of this technical approach is to reduce the shielding of the strong reflection waveform, so as to highlight the reservoir reflection characteristics. Specifically, the strong reflection waveform is first separated, and then reduced according to a preset criterion. 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 in the waveform reconstruction, so as to suppress the large reflection coefficient to reduce the strong reflection waveform.

[0004] Although the above method has a certain effect in post-stack seismic weak signal recovery, 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 accurately determine, which may result in excessive or insufficient strong reflection shielding; and 2) it is difficult to control the quality after removing the strong reflection shielding, and it is difficult to ensure whether the reservoir seismic response characteristics after the seismic weak signal recovery are accurate, which may result in the phenomenon that no reservoir appears at the reservoir, the reservoir prediction error is increased, and the oil and gas exploration cannot be effectively guided.

[0005] Therefore, how to provide a technical solution for accurately recovering seismic signals is a technical problem to be solved by those skilled in the art. SUMMARY

[0006] The present application provides a seismic signal recovery method, device, equipment and medium, to realize an aspect of the present application, a seismic signal recovery method is provided, which comprises:

[0007] forward modeling of the well logging data of a target reservoir to determine a target seismic waveform 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;

[0008] Based on the target seismic waveform, determine the target layer corresponding to the target seismic waveform;

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

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

[0011] The target seismic waveform determination module is used to perform forward modeling on the 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 exhibit peak reflection or trough reflection;

[0012] The target horizon determination module is used to determine the target horizon corresponding to the target seismic waveform based on 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 recovered seismic data.

[0014] According to another aspect of this 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, which enables the at least one processor to perform the seismic signal recovery method according to any embodiment of this application.

[0018] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the seismic signal recovery method according to any embodiment of this application.

[0019] The technical scheme provided in the application comprises the following steps: performing forward simulation on the logging data of a target reservoir to determine a target seismic waveform of the target reservoir; the target seismic waveform is a waveform that makes the target reservoir present a wave peak reflection or a wave trough reflection; determining a target horizon corresponding to the target seismic waveform according to the target seismic waveform; and tracking the target horizon to perform energy strengthening on a seismic waveform to be adjusted in the target horizon to obtain post-stack recovered seismic data. The technical scheme can strengthen weak seismic signals in a reservoir, fully considers the influence of the main contribution waveform of the reservoir reflection characteristics on the weak seismic signals through logging forward analysis, and improves the accuracy of seismic signal recovery.

[0020] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the application, nor is it used to limit the scope of the application. Other features of the application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0022] Figure 1 A flow chart of a seismic signal recovery method provided for the first embodiment of the application;

[0023] Figure 2 A logging forward simulation schematic diagram provided for the first embodiment of the application;

[0024] Figure 3 A target interpretation result schematic diagram provided for the first embodiment of the application;

[0025] Figure 4a A post-stack initial seismic profile schematic diagram provided for the first embodiment of the application;

[0026] Figure 4b A post-stack recovered seismic profile schematic diagram provided for the first embodiment of the application;

[0027] Figure 5 A flow chart of a seismic signal recovery method provided for the second embodiment of the application;

[0028] Figure 6 A well-seismic calibration schematic diagram of a developed thin dolomite reservoir provided for the second embodiment of the application;

[0029] Figure 7a A first plane schematic diagram provided for the second embodiment of the application;

[0030] Figure 7b A second plane schematic diagram provided for Embodiment Two of the present application;

[0031] Figure 8 A structural schematic diagram of a seismic signal recovery device provided for Embodiment Three of the present application;

[0032] Figure 9 A structural schematic diagram of a device for implementing a seismic signal recovery method according to an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art 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" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, 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 "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0035] Embodiment One

[0036] Figure 1 A flowchart of a seismic signal recovery method provided for Embodiment One of the present application. The present embodiment can be applicable to the case of recovering weak seismic signals in a thin reservoir. The method can be performed by a seismic signal recovery device, which can be realized in the form of hardware and / or software, and can be configured in a device with data processing capability. As shown in the figure, the method comprises: Figure 1

[0037] S110, forward modeling is performed on the logging data of the target reservoir to determine a target seismic waveform of the target reservoir. The target seismic waveform is a waveform that causes the target reservoir to exhibit a peak reflection or a trough reflection. ​

[0038] The target reservoir can be a thin reservoir section, which can be determined according to logging data or core analysis data. The logging data can include logging sonic curve, logging lithology data, and layering data, etc. The target seismic waveform can be a main contribution waveform that makes the target reservoir present a peak reflection or a trough reflection.

[0039] Specifically, the forward modeling is divided into physical modeling and numerical modeling. The physical modeling is to simulate the propagation process and phenomenon of the seismic wave field and the wave field record at the receiving point through physical experiments. The numerical modeling is to simulate the actual geological model in the computer environment based on the elastic medium wave field propagation theory.

[0040] In the embodiment of the present application, the forward modeling can be performed on the target reservoir based on the logging sonic curve, and the target seismic waveform that makes the target reservoir present a peak reflection or a trough reflection can be determined according to the forward modeling result.

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

[0042] Step A1, performing the forward modeling on the logging data of the target reservoir to determine the seismic reflection feature type of the target reservoir; the seismic reflection feature type includes a peak reflection and a trough reflection.

[0043] The seismic reflection feature type can be the seismic response feature of the target reservoir, including the peak reflection and the trough reflection. The seismic reflection feature type can be determined according to the forward modeling result.

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

[0045] Generally, the target seismic waveform and the seismic reflection feature type appear in pairs. For example, if the seismic reflection feature type is a peak reflection, the target seismic waveform is a trough, and if the seismic reflection feature type is a trough reflection, the target seismic waveform is a peak. In the embodiment of the present application, the target seismic waveform can be determined according to the seismic reflection feature type and the logging forward modeling result.

[0046] For example, a deep thin dolomite reservoir section in a certain basin in the west is taken as an example for explanation and description, Figure 2 Fig. 1 is a schematic diagram of the logging forward modeling provided by the first embodiment of the present application. As shown in the figure, according to the well logging data or the reservoir core data analysis, the shaded part in the figure is the target reservoir S, and according to the seismic trace waveform diagram, it is determined that the target reservoir S presents a weak peak reflection feature, and the underlying trough is the main contribution waveform that forms this peak, that is, the target seismic waveform is the peak sidelobe of the underlying trough. Figure 2 As shown in the figure, according to the well logging data or the reservoir core data analysis, the shaded part in the figure is the target reservoir S, and according to the seismic trace waveform diagram, it is determined that the target reservoir S presents a weak peak reflection feature, and the underlying trough is the main contribution waveform that forms this peak, that is, the target seismic waveform is the peak sidelobe of the underlying trough.

[0047] The technical scheme has the beneficial effects that the cause of the thin reservoir seismic reflection feature can be determined, and the weak seismic signal of the thin reservoir can be recovered.

[0048] S120, determining a target horizon corresponding to the target seismic waveform according to the target seismic waveform.

[0049] In the embodiment of the present application, the target horizon can be determined according to the layering data in the target reservoir logging data and the target seismic waveform.

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

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

[0052] In the embodiment of the present application, the target horizon can be tracked by horizon constraint, and then the seismic waveform of the region where the target reservoir is located in the target horizon can be energy enhanced to obtain post-stack recovered seismic data. In this way, the weak seismic signal of the target reservoir can be strengthened and recovered, and the thin reservoir prediction capability can be improved.

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

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

[0055] The target interpretation result can be a horizon interpretation diagram. Specifically, under the guidance of geological structure and sedimentary pattern, fine horizon interpretation can be performed on 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, performing energy enhancement on the seismic waveform to be adjusted in the target interpretation result to obtain a post-stack recovered seismic data volume.

[0057] Specifically, the seismic waveform to be adjusted can be intercepted from the target interpretation result, and the seismic waveform to be adjusted can be energy enhanced under the constraint of the target horizon, so that the waveform feature of the target reservoir is more prominent, and the purpose of seismic signal recovery is achieved. Further, the post-stack recovered seismic data volume can be determined according to the target interpretation result after energy enhancement.

[0058] Exemplary, with a deep thin dolomite reservoir section in a certain basin in the west as an example to explain and illustrate. Figure 3 A target interpretation result schematic diagram provided for example one of the present application is shown as Figure 3 The target horizon interpretation diagram of the underlying wave trough is shown, A represents the target reservoir section, B represents the underlying wave trough section, C represents the non-reservoir section, and s represents the target horizon. Figure 3 According to the target interpretation result shown in Figure 4b The post-stack recovery seismic profile diagram is shown. Among them, Figure 4a A post-stack initial seismic profile schematic diagram provided for example one of the present application is shown, Figure 4b A post-stack recovery seismic profile schematic diagram provided for example one of the present application is shown. Compared with Figure 4a And Figure 4b It can be seen that the weak signal of the target reservoir is obviously strengthened.

[0059] The embodiment of the present application provides a recovery method of seismic signal, the method comprises the following steps: carrying out forward modeling on the logging data of a target reservoir to determine a target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform that makes the target reservoir present a wave peak reflection or a wave trough reflection; determining a target horizon corresponding to the target seismic waveform according to the target seismic waveform; tracking the target horizon; and strengthening the energy of the seismic waveform to be adjusted in the target horizon to obtain post-stack recovery seismic data. The technical scheme can strengthen the weak seismic signal in the reservoir, fully consider the influence of the main contribution waveform of the reservoir reflection characteristics on the weak seismic signal through logging forward analysis, and improve the accuracy of seismic signal recovery.

[0060] Example two

[0061] Figure 5 A flowchart of a recovery method of seismic signal provided for example two of the present application, the embodiment is optimized on the basis of the above-mentioned embodiment. As shown in Figure 5 The method of the embodiment specifically comprises the following steps:

[0062] S210, carrying out forward modeling on the logging data of a target reservoir to determine a target seismic waveform of the target reservoir. Wherein the target seismic waveform is a waveform that makes the target reservoir present a wave peak reflection or a wave trough reflection.

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

[0064] S230, tracking the target horizon, strengthening the energy of the seismic waveform to be adjusted in the target horizon to obtain post-stack recovery seismic data.

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

[0066] The post-stack initial seismic data volume of the target reservoir can be a seismic data volume formed by stacking after seismic wave collection by a seismic wave collection device. In the embodiment of the present application, the geological rule consistency before and after recovery of the seismic signal can be determined by comparing the post-stack recovered 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 manner, the step of determining the target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered 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 recovered seismic data volume according to the post-stack recovered seismic data volume and the well logging data.

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

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

[0071] The well logging data is vertically scaled by depth, and the post-stack recovered seismic data volume is vertically scaled by time. In the embodiment of the present application, the predicted seismic reflection feature type of the target reservoir is determined by performing well-seismic calibration on the post-stack recovered seismic data volume and the well logging data according to the well-seismic calibration result; the predicted seismic reflection feature type is matched with the seismic reflection feature type obtained from 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 in the deep layer of a certain basin in the west is explained and described.Figure 6 A well-seismic calibration diagram of a developed thin dolomite reservoir provided for the second embodiment of the present application is shown in FIG. 2. As shown in FIG. 2, the seismic reflection feature type of the target reservoir section in the post-stack initial seismic data volume is weak peak reflection. After the well-seismic calibration of the post-stack recovered seismic data volume, and according to the well-seismic calibration result, it can be determined that the peak reflection feature of the target reservoir section in the well-seismic calibration result is clearer. Therefore, it can be determined that the first evaluation result of the post-stack recovered seismic data volume of the developed thin dolomite reservoir is consistent. Figure 6

[0073] Step C2, determining a second evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered 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 recovered seismic data volume and the post-stack initial seismic data volume are consistent. In the embodiment of the present application, whether the post-stack recovered seismic data volume conforms to the reservoir geological distribution rule can be determined by comparing the post-stack recovered seismic data volume and the post-stack initial seismic data volume.

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

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

[0077] For example, the deep thin dolomite reservoir developed in a certain basin in the west is explained and described. Figure 7a A first plane diagram provided for the second embodiment of the present application is shown in FIG. 3. Figure 7b A second plane diagram provided for the second embodiment of the present application is shown in FIG. 4. Figure 7a As shown in FIG. 4, there is no maximum peak amplitude in the area around well 1 and well 2 in the maximum peak amplitude attribute plane in the post-stack recovered seismic data volume after the seismic signal recovery, and the plane distribution characteristics are more consistent with the geological understanding and the sedimentary model. Figure 7b As shown in FIG. 4, there is no maximum peak amplitude in the area around well 1 and well 2 in the maximum peak amplitude attribute plane in the post-stack recovered seismic data volume after the seismic signal recovery, and the plane distribution characteristics are more consistent with the geological understanding and the sedimentary model.​

[0078] Step C3, determining a target evaluation result of the post-stack recovered seismic data volume according to the first evaluation result and the second evaluation result.

[0079] Specifically, the post-stack seismic weak signal recovery result of the target reservoir can be comprehensively evaluated according to the first evaluation result and the second evaluation result, the distribution law of the actual well logging data and the post-stack initial seismic data volume is fully considered, and the accuracy of the post-stack recovered seismic data volume is scientifically verified.

[0080] The embodiment of the present application provides a seismic signal recovery method, which comprises the following steps: performing forward simulation on well logging data of a target reservoir to determine a target seismic waveform 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; determining a target horizon corresponding to the target seismic waveform according to the target seismic waveform; tracking the target horizon, and performing energy enhancement on a seismic waveform to be adjusted in the target horizon to obtain a post-stack recovered seismic data volume; determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data and a 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 represent the accuracy of the post-stack recovered seismic data volume. The technical scheme is used to realize quality control and comprehensive evaluation of seismic recovery signals, and ensures the accuracy of the post-stack recovered seismic data volume.

[0081] Embodiment three

[0082] Figure 8 A structural schematic diagram of a seismic signal recovery device provided by the embodiment three of the present application is shown in FIG. 3. Figure 8 As shown in FIG. 3, the device comprises:

[0083] a target seismic waveform determination module 310, configured to perform forward simulation on well logging data of a target reservoir to determine a target seismic waveform 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;

[0084] a target horizon determination module 320, configured to determine a target horizon corresponding to the target seismic waveform according to the target seismic waveform;

[0085] a seismic signal recovery module 330, configured to track the target horizon, and perform energy enhancement on a seismic waveform to be adjusted in the target horizon to obtain a post-stack recovered seismic data volume.

[0086] The embodiment of the present application provides a device for recovering seismic signals, which determines a target seismic waveform of a target reservoir by forward modeling on 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; determines a target horizon corresponding to the target seismic waveform according to the target seismic waveform; traces the target horizon, and strengthens the energy of a seismic waveform to be adjusted in the target horizon to obtain post-stack recovered seismic data. The technical scheme realizes the strengthening of weak seismic signals in a reservoir, fully considers the influence of the main contribution waveform of the reservoir reflection characteristics on the weak seismic signals through logging forward analysis, and improves the accuracy of seismic signal recovery.

[0087] Further, the target seismic waveform determination module 310 comprises:

[0088] The seismic reflection characteristic type determination unit is configured to perform forward modeling on logging data of the target reservoir to determine a seismic reflection characteristic type of the target reservoir; the seismic reflection characteristic type comprises a peak reflection and a trough reflection.

[0089] The target seismic waveform determination unit is configured to determine a target seismic waveform of the target reservoir according to the seismic reflection characteristic type.

[0090] Further, the seismic signal recovery module 330 comprises:

[0091] The seismic horizon interpretation unit is configured to trace the target horizon and perform seismic horizon interpretation on the target horizon to obtain a target interpretation result.

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

[0093] Further, the device further comprises:

[0094] The seismic recovery signal evaluation module is configured to, after tracing the target horizon, strengthening the energy of a seismic waveform to be adjusted in the target horizon to obtain a post-stack recovered seismic data volume, determine a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume.

[0095] Further, the seismic recovery signal evaluation module comprises:

[0096] The first evaluation unit is configured to determine a first evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume and the logging data.

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

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

[0099] Further, the first evaluation unit comprises:

[0100] a well-seismic calibration sub-unit configured to perform well-seismic calibration on the post-stack recovered seismic data volume to determine a well-seismic calibration result;

[0101] a first evaluation sub-unit configured to determine a first evaluation result of the post-stack recovered seismic data volume according to the well-seismic calibration result and the matching degree of the well logging data.

[0102] Further, the second evaluation unit comprises:

[0103] a first plane extraction sub-unit configured to take a maximum peak amplitude attribute plane graph in the post-stack initial seismic data volume as a first plane graph;

[0104] a second plane extraction sub-unit configured to take a maximum peak amplitude attribute plane graph in the post-stack recovered seismic data volume as a second plane graph;

[0105] a second evaluation sub-unit configured to determine a second evaluation result of the post-stack recovered seismic data volume according to the first plane graph and the second plane graph.

[0106] The device for recovering seismic signals provided in the embodiments of the present application can execute the method for recovering seismic signals provided in any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0107] Embodiment four

[0108] Figure 9 A structural schematic diagram of a device 10 that can be used to implement embodiments of the present application is shown. The device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices (e.g., headgear, eyewear, watches, etc.), and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0109] As shown in Figure 9 Device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., communicatively connected to the at least one processor 11, where the memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or loaded into the random access memory (RAM) 13 from the storage unit 18. Various programs and data required for the operation of the device 10 can also be stored in the RAM 13. The processor 11, the ROM 12, and the 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] Various 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 magnetic 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 can be various general and / or special purpose 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-purpose 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 performs various methods and processes described above, such as the seismic signal recovery method.

[0112] In some embodiments, the seismic signal recovery method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto 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 seismic signal recovery method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the seismic signal recovery method by any other appropriate means, such as by means of firmware.

[0113] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a load programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0114] Computer programs used to implement the processes of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program

[0115] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0116] To provide for interaction with a user, the systems and techniques described here can be implemented on a device having a display (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 a trackball) by which the user can provide input to the device. Other kinds of devices can be used to provide for interaction with a user as well; for example, 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, speech, or tactile input.

[0117] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can 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] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server is generally established by computer programs running on the respective computers and having a client-server relationship to each other. A server can 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 large management difficulty and weak business scalability in traditional physical host and VPS service.

[0119] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the present disclosure can be executed in parallel, executed in sequence, or executed in a different order, as long as the desired results of the present disclosure are achieved, and the present disclosure is not limited herein.

[0120] The specific embodiments described above are not intended to be limiting, and persons skilled in the art will appreciate that various modifications, combinations, sub-combinations and alternatives can be made to the specific embodiments without departing from the spirit and scope of the disclosure. Any further modifications, equivalents, and / or alternatives come within the scope of the present disclosure as described in the following claims.

Claims

1. A method of seismic signal recovery, characterized by, The method comprises: forward modeling of well logging data of a target reservoir to determine a target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform that causes the target reservoir to exhibit a peak reflection or a trough reflection; determining a target horizon corresponding to the target seismic waveform according to the target seismic waveform; tracking the target horizon and performing energy enhancement on a seismic waveform to be adjusted in the target horizon to obtain a post-stack recovered seismic data volume; The method further comprises: forward modeling of well logging data of a target reservoir to determine a target seismic waveform of the target reservoir; wherein the target seismic waveform is a waveform that causes the target reservoir to exhibit a peak reflection or a trough reflection; determining a target horizon corresponding to the target seismic waveform according to the target seismic waveform; tracking the target horizon and performing energy enhancement on a seismic waveform to be adjusted in the target horizon to obtain a post-stack recovered seismic data volume. The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume.

2. The method of claim 1, wherein, The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume.

3. The method of claim 2, wherein, The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume. The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume.

4. The method of claim 3, wherein, The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume. The method further comprises:

5. The method of claim 3, wherein, determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume. The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume. The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume. The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume. The method further comprises: determining a target evaluation result of the post-stack recovered seismic data volume according to the post-stack recovered seismic data volume, the well logging data, and a 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 represent the accuracy of the post-stack recovered seismic data volume. a second planar graph is obtained by taking a maximum peak amplitude attribute planar graph in the post-stack recovered seismic data volume as the second planar graph; a second evaluation result of the post-stack recovered seismic data volume is determined according to the first planar graph and the second planar graph.

6. An apparatus for recovering a seismic signal, characterized by comprising: The device comprises: a target seismic waveform determination module configured to perform 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 that causes the target reservoir to present a peak reflection or a trough reflection; a target horizon determination module configured to determine a target horizon corresponding to the target seismic waveform according to the target seismic waveform; a seismic signal recovery module configured to track the target horizon and perform energy enhancement on an adjusted seismic waveform in the target horizon to obtain a post-stack recovered seismic data volume; The target seismic waveform determination module comprises: a seismic reflection feature type determination unit configured to perform forward modeling on logging data of a target reservoir to determine a seismic reflection feature type of the target reservoir, wherein the seismic reflection feature type comprises a peak reflection and a trough reflection; a target seismic waveform determination unit configured to determine a target seismic waveform of the target reservoir according to the seismic reflection feature type; The seismic signal recovery module comprises: a seismic horizon interpretation unit configured to track the target horizon by horizon constraint and perform seismic horizon interpretation on the target horizon to obtain a target interpretation result; a seismic signal recovery unit configured to perform energy enhancement on an adjusted waveform in the target interpretation result to obtain a post-stack recovered seismic data volume.

7. An electronic device, comprising: The device comprises: at least one processor; and a memory connected to the at least one processor in communication; 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 execute the seismic signal recovery method in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for enabling the processor to execute the seismic signal recovery method in any one of claims 1-5 when executed by the processor. The computer readable storage medium stores computer instructions for enabling the processor to execute the seismic signal recovery method in any one of claims 1-5 when executed by the processor.

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