Methods, devices, electronic equipment, and media for constructing post-stack imaging of anomalous bodies
By extracting and weighting the structural features of beaded anomalies, the problem of unclear imaging of beaded anomalies in carbonate reservoirs in the Tarim Basin was solved, achieving more accurate imaging and well location target confirmation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA PETROLEUM & CHEMICAL CORP
- Filing Date
- 2022-03-02
- Publication Date
- 2026-05-26
Smart Images
Figure CN116736376B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of earthquake theory and technology, and more specifically, to a method, apparatus, electronic device, and medium for constructing post-stack imaging of anomalies. Background Technology
[0002] The carbonate reservoirs in the Tarim Basin are characterized by deep burial, strong heterogeneity, and well-developed fractures and pores. These characteristics pose significant challenges to the precise prediction of these reservoirs. In the western part of the basin, carbonate reservoirs are mainly distributed in fracture-void type (referred to as beaded) reservoirs. Years of research on these reservoirs have revealed that collapse structures in carbonate strata form large-scale, elongated distributions, with circular and flattened faults developing within these elongated collapse zones. When there is a significant difference in acoustic impedance between the cave debris and the surrounding carbonate reservoir rock, these collapsed caves and their debris exhibit beaded reflections on seismic profiles. Therefore, beaded reflections in carbonate reservoirs are often interpreted as collapsed paleocaves. Furthermore, differential compaction due to increased burial depth can create fractures above the collapsed caves, allowing these caves to connect into large-scale paleocave systems, thus forming excellent reservoir storage spaces. These cave systems are commonly referred to as fracture-void interconnected systems. Drilling has confirmed that these collapsed karst systems are good oil and gas producing formations.
[0003] For characterizing beaded reflection features, various technical solutions exist. In practice, post-stack amplitude profile transparency display or amplitude attribute extraction techniques are commonly used. Beaded caves are underground anomalous bodies. For imaging such anomalous bodies, some amplitude-preserving pre-stack and post-stack imaging, high-resolution, azimuth-based, and frequency-enhancing methods have emerged. Among these, post-stack highlighting techniques, while efficient, have unsatisfactory results.
[0004] In the Tarim Basin, beaded anomalies are important oil and gas reservoirs. However, in seismic imaging, they are often not prominent, the imaging is inaccurate, the beaded structure is unclear, they are covered by the reflection layer, and the weak beads are barely visible and cannot be identified. This poses a certain degree of uncertainty risk to the well location target of oil and gas drilling.
[0005] Therefore, it is necessary to develop a method, device, electronic equipment, and medium for constructing post-stack imaging of anomalous bodies.
[0006] The information disclosed in the background section of this invention is intended only to enhance the understanding of the general background of this invention, and should not be construed as an admission or in any way implying that such information constitutes prior art known to those skilled in the art. Summary of the Invention
[0007] This invention proposes a method, apparatus, electronic device, and medium for constructing post-stack imaging of anomalous bodies, which can extract the reflected energy of anomalous bodies, highlight the seismic imaging characteristics of beaded geological structures, and improve the signal-to-noise ratio of beaded reservoir imaging.
[0008] In a first aspect, embodiments of this disclosure provide a method for constructing post-stack imaging of abnormal bodies, including:
[0009] Based on the structural features of the beaded anomalies in the initial image, the reflection structures outside the structural features are removed and suppressed to obtain the seismic image.
[0010] Extract the structural feature attributes of the beaded anomalies in the seismic imaging volume to obtain the attribute volume;
[0011] Extract the bead anomaly body based on the attribute body;
[0012] The initial imaging volume or the seismic imaging volume is superimposed with the beaded anomaly volume to obtain the imaging data volume.
[0013] Preferably, the structural feature attributes of the beaded anomalies in the seismic imaging volume are extracted to obtain the attribute volume, which includes:
[0014] Different attribute values are calculated for imaging bodies with different structural features, and then the attribute values corresponding to the beaded anomaly are determined to obtain the attribute body.
[0015] Preferably, extracting the bead anomaly body based on the attribute body includes:
[0016] A threshold value is set for the attribute body, and attributes other than the threshold value are removed from the attribute body to obtain the beaded anomaly body.
[0017] Preferably, setting a threshold value for the attribute body and removing attributes other than the threshold value from the attribute body to obtain the beading anomaly body includes:
[0018] Set the attribute values in the attribute body that are less than the threshold value to 0, and set the remaining attribute values to 1;
[0019] Extract the attribute body with an attribute value of 1, which is the beading anomaly body.
[0020] Preferably, the threshold value is positively correlated with the representation scale of the beads.
[0021] Preferably, the initial imaging volume and the beaded anomaly volume are weighted and superimposed using formula (1) to obtain the imaging data volume:
[0022] C=m×B2×A+A (1)
[0023] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A is the initial imaging volume.
[0024] Preferably, the seismic imaging volume and the beaded anomaly volume are weighted and superimposed using formula (2) to obtain the imaging data volume:
[0025] C=m×B2×A'+A' (2)
[0026] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A' is the seismic imaging volume.
[0027] As one specific implementation of this disclosure,
[0028] Secondly, embodiments of this disclosure also provide an apparatus for constructing post-stacked imaging of abnormal bodies, comprising:
[0029] The noise reduction module removes and suppresses reflection structures outside the structural features of the beaded anomaly in the initial image volume to obtain the seismic image volume.
[0030] The attribute body determination module extracts the structural feature attributes of the beaded anomalies in the seismic imaging body to obtain the attribute body;
[0031] The beading anomaly determination module extracts the beading anomaly based on the attribute body.
[0032] The overlay module overlays the initial image volume or the seismic image volume with the beaded anomaly volume to obtain an image data volume.
[0033] Preferably, the structural feature attributes of the beaded anomalies in the seismic imaging volume are extracted to obtain the attribute volume, which includes:
[0034] Different attribute values are calculated for imaging bodies with different structural features, and then the attribute values corresponding to the beaded anomaly are determined to obtain the attribute body.
[0035] Preferably, extracting the bead anomaly body based on the attribute body includes:
[0036] A threshold value is set for the attribute body, and attributes other than the threshold value are removed from the attribute body to obtain the beaded anomaly body.
[0037] Preferably, setting a threshold value for the attribute body and removing attributes other than the threshold value from the attribute body to obtain the beading anomaly body includes:
[0038] Set the attribute values in the attribute body that are less than the threshold value to 0, and set the remaining attribute values to 1;
[0039] Extract the attribute body with an attribute value of 1, which is the beading anomaly body.
[0040] Preferably, the threshold value is positively correlated with the representation scale of the beads.
[0041] Preferably, the initial imaging volume and the beaded anomaly volume are weighted and superimposed using formula (1) to obtain the imaging data volume:
[0042] C=m×B2×A+A (1)
[0043] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A is the initial imaging volume.
[0044] Preferably, the seismic imaging volume and the beaded anomaly volume are weighted and superimposed using formula (2) to obtain the imaging data volume:
[0045] C=m×B2×A'+A' (2)
[0046] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A' is the seismic imaging volume.
[0047] Thirdly, embodiments of this disclosure also provide an electronic device, the electronic device comprising:
[0048] Memory, which stores executable instructions;
[0049] A processor that executes the executable instructions in the memory to implement the method for constructing post-stack imaging of abnormal bodies.
[0050] Fourthly, embodiments of this disclosure also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the described method for constructing post-stack imaging of abnormal bodies.
[0051] Its beneficial effects are as follows:
[0052] This invention can enhance the imaging reflection of bead-like anomalies and highlight the structural features of the beads, thereby improving the imaging capabilities for confirming the location of beads, identifying the presence of weak beads, and highlighting bead targets.
[0053] The methods and apparatus of the present invention have other features and advantages that will be apparent from or will be set forth in detail in the accompanying drawings and following detailed description, which together serve to explain the particular principles of the invention. Attached Figure Description
[0054] The above and other objects, features and advantages of the present invention will become more apparent from the more detailed description of exemplary embodiments of the invention in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same parts.
[0055] Figure 1 A flowchart illustrating the steps of an abnormality stacking imaging construction method according to an embodiment of the present invention is shown.
[0056] Figure 2a and Figure 2b A comparative schematic diagram of an initial imaging body and a seismic imaging body according to an embodiment of the present invention is shown.
[0057] Figure 3a and Figure 3b A comparative schematic diagram of a seismic imaging volume and an attribute volume according to an embodiment of the present invention is shown.
[0058] Figure 4a , Figure 4b , Figure 4c A comparative schematic diagram of the attribute body, beaded anomaly body, and imaging data body according to an embodiment of the present invention is shown respectively.
[0059] Figure 5 A block diagram of an anomalous body stacking imaging construct apparatus according to an embodiment of the present invention is shown.
[0060] Explanation of reference numerals in the attached figures:
[0061] 201. Noise Reduction Module; 202. Attribute Determination Module; 203. Beading Anomaly Determination Module; 204. Overlay Module. Detailed Implementation
[0062] Preferred embodiments of the invention will now be described in more detail. While preferred embodiments of the invention are described below, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.
[0063] This invention provides a method for constructing post-stack imaging of anomalous bodies, comprising:
[0064] Based on the structural characteristics of the beaded anomalies in the initial imaging volume, the reflection structures outside the structural characteristics are removed and suppressed to obtain the seismic imaging volume;
[0065] Extract the structural feature attributes of beaded anomalies from seismic imaging volumes to obtain attribute volumes;
[0066] Extract bead anomalies based on attribute data;
[0067] The initial imaging volume or seismic imaging volume is superimposed with the beaded anomaly volume to obtain the imaging data volume.
[0068] In one example, the structural feature attributes of beaded anomalies in a seismic imaging volume are extracted, and the attribute volume includes:
[0069] Different attribute values are calculated for imaging bodies with different structural features, thereby determining the attribute values corresponding to the beaded anomaly and obtaining the attribute body.
[0070] In one example, extracting the beading exception body from the attribute body includes:
[0071] Set a threshold value for the attribute body, remove attributes that are not at the threshold value, and obtain the beaded abnormal body.
[0072] In one example, setting a threshold value for the attribute body and removing attributes that do not meet the threshold value results in the following beaded anomaly body:
[0073] Set the attribute values in the attribute body that are less than the threshold value to 0, and set the remaining attribute values to 1;
[0074] Extract the attribute body with an attribute value of 1, which is the beading anomaly body.
[0075] In one example, the threshold value is positively correlated with the scale of representation of the beads.
[0076] In one example, the initial image volume and the beaded anomaly volume are weighted and superimposed using formula (1) to obtain the image data volume:
[0077] C=m×B2×A+A (1)
[0078] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A is the initial imaging volume.
[0079] In one example, the seismic imaging volume and the beaded anomaly volume are weighted and superimposed using formula (2) to obtain the imaging data volume:
[0080] C=m×B2×A'+A' (2)
[0081] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A' is the seismic imaging volume.
[0082] Specifically, based on the structural characteristics of beaded anomalies in the initial imaging volume, reflective structures outside the structural characteristics are removed and suppressed. Beaded anomalies have spherical structural characteristics, so the signals of layered reflective structures with linear characteristics can be suppressed. Such signals are treated as noise and removed to obtain the seismic imaging volume.
[0083] Different attribute values are calculated for imaging bodies with different structural features, thereby determining the attribute values corresponding to beaded anomalies and obtaining attribute bodies. For beaded anomalies, techniques such as signal envelope attribute calculation can be used, which can calculate different attribute values for imaging bodies with different structural features. Signal envelope attribute calculation is a viable calculation method. Regardless of the calculation method used, as long as the attribute characteristics of this type of anomaly can be highlighted and the magnitude of its attribute value differs significantly from the magnitude of signal attribute values outside the anomaly class, it is acceptable.
[0084] Set a threshold value for the attribute body, set the attribute values in the attribute body that are less than the threshold value to 0, set the remaining attribute values to 1, remove the attributes in the attribute body that are not at the threshold value, and extract the attribute bodies with an attribute value of 1, which are the abnormal bead bodies; as long as the values inside and outside the threshold value can be clearly distinguished by the new value setting, it is acceptable.
[0085] The threshold value is positively correlated with the representation scale of the beads: a larger threshold value is required for beads that need to be represented on a larger scale, while a smaller threshold value is required for beads that need to be represented on a smaller, weaker scale.
[0086] The initial imaging volume or seismic imaging volume is superimposed with the beaded anomaly volume to obtain the imaging data volume.
[0087] The present invention also provides an apparatus for constructing post-stack imaging of abnormal bodies, comprising:
[0088] The noise reduction module removes and suppresses reflective structures outside the structural features based on the structural characteristics of the beaded anomalies in the initial image volume, thereby obtaining the seismic image volume.
[0089] The attribute volume determination module extracts the structural feature attributes of beaded anomalies in the seismic imaging volume to obtain the attribute volume;
[0090] The beading anomaly determination module extracts the beading anomaly based on the attribute body.
[0091] The overlay module superimposes the initial image volume or seismic image volume with the beaded anomaly volume to obtain the image data volume.
[0092] In one example, the structural feature attributes of beaded anomalies in a seismic imaging volume are extracted, and the attribute volume includes:
[0093] Different attribute values are calculated for imaging bodies with different structural features, thereby determining the attribute values corresponding to the beaded anomaly and obtaining the attribute body.
[0094] In one example, extracting the beading exception body from the attribute body includes:
[0095] Set a threshold value for the attribute body, remove attributes that are not at the threshold value, and obtain the beaded abnormal body.
[0096] In one example, setting a threshold value for the attribute body and removing attributes that do not meet the threshold value results in the following beaded anomaly body:
[0097] Set the attribute values in the attribute body that are less than the threshold value to 0, and set the remaining attribute values to 1;
[0098] Extract the attribute body with an attribute value of 1, which is the beading anomaly body.
[0099] In one example, the threshold value is positively correlated with the scale of representation of the beads.
[0100] In one example, the initial image volume and the beaded anomaly volume are weighted and superimposed using formula (1) to obtain the image data volume:
[0101] C=m×B2×A+A (1)
[0102] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A is the initial imaging volume.
[0103] In one example, the seismic imaging volume and the beaded anomaly volume are weighted and superimposed using formula (2) to obtain the imaging data volume:
[0104] C=m×B2×A'+A' (2)
[0105] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A' is the seismic imaging volume.
[0106] Specifically, based on the structural characteristics of beaded anomalies in the initial imaging volume, reflective structures outside the structural characteristics are removed and suppressed. Beaded anomalies have spherical structural characteristics, so the signals of layered reflective structures with linear characteristics can be suppressed. Such signals are treated as noise and removed to obtain the seismic imaging volume.
[0107] Different attribute values are calculated for imaging bodies with different structural features, thereby determining the attribute values corresponding to beaded anomalies and obtaining attribute bodies. For beaded anomalies, techniques such as signal envelope attribute calculation can be used, which can calculate different attribute values for imaging bodies with different structural features. Signal envelope attribute calculation is a viable calculation method. Regardless of the calculation method used, as long as the attribute characteristics of this type of anomaly can be highlighted and the magnitude of its attribute value differs significantly from the magnitude of signal attribute values outside the anomaly class, it is acceptable.
[0108] Set a threshold value for the attribute body, set the attribute values in the attribute body that are less than the threshold value to 0, set the remaining attribute values to 1, remove the attributes in the attribute body that are not at the threshold value, and extract the attribute bodies with an attribute value of 1, which are the abnormal bead bodies; as long as the values inside and outside the threshold value can be clearly distinguished by the new value setting, it is acceptable.
[0109] The threshold value is positively correlated with the representation scale of the beads: a larger threshold value is required for beads that need to be represented on a larger scale, while a smaller threshold value is required for beads that need to be represented on a smaller, weaker scale.
[0110] The initial imaging volume or seismic imaging volume is superimposed with the beaded anomaly volume to obtain the imaging data volume.
[0111] The present invention also provides an electronic device, comprising: a memory storing executable instructions; and a processor executing the executable instructions in the memory to implement the above-described method for constructing post-stack imaging of abnormal bodies.
[0112] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for constructing post-stack imaging of abnormal bodies.
[0113] To facilitate understanding of the solutions and effects of the embodiments of the present invention, four specific application examples are given below. Those skilled in the art should understand that these examples are merely for the purpose of understanding the present invention, and any specific details therein are not intended to limit the present invention in any way.
[0114] Example 1
[0115] Figure 1 A flowchart illustrating the steps of an abnormality stacking imaging construction method according to an embodiment of the present invention is shown.
[0116] like Figure 1 As shown, the anomalous body post-stack imaging construction method includes: Step 101, based on the structural features of the beaded anomalous bodies in the initial imaging body, removing and suppressing the reflection structures outside the structural features to obtain a seismic imaging body; Step 102, extracting the structural feature attributes of the beaded anomalous bodies in the seismic imaging body to obtain an attribute body; Step 103, extracting the beaded anomalous bodies based on the attribute body; Step 104, superimposing the initial imaging body or seismic imaging body with the beaded anomalous bodies to obtain an imaging data body.
[0117] Take a two-dimensional data line from a real oil and gas exploration block as an example:
[0118] Figure 2a and Figure 2b A comparative schematic diagram of an initial imaging body and a seismic imaging body according to an embodiment of the present invention is shown.
[0119] according to Figure 2a The initial imaging volume shows the structural features of the beaded anomaly. Reflective structures outside these structural features are removed and suppressed to obtain the seismic imaging volume, as shown below. Figure 2b As shown.
[0120] Figure 3a and Figure 3b A comparative schematic diagram of a seismic imaging volume and an attribute volume according to an embodiment of the present invention is shown.
[0121] For a seismic imaging volume, the structural feature attributes of the anomalies within it are extracted to obtain the attribute volume, such as... Figure 3b As shown.
[0122] Figure 4a , Figure 4b , Figure 4c A comparative schematic diagram of the attribute body, beaded anomaly body, and imaging data body according to an embodiment of the present invention is shown respectively.
[0123] A threshold value is set for the characteristic attribute body of the anomaly body, and attributes outside the threshold value are eliminated. This extracts beaded anomalies. Here, the threshold value for the attribute body is set to 420. Data points with a value greater than or equal to 420 have a value of 1.9; data points with a value less than 420 have a value of 0, thus obtaining beaded anomalies, such as... Figure 4b As shown.
[0124] The beaded anomaly volume is weighted and superimposed with the initial image volume. Since weak beads need to be highlighted in the imaging, m=3 is set to obtain the image data volume, such as... Figure 4c As shown, the beads around 4.6s are enhanced and highlighted in the image.
[0125] For seismic imaging of bead-like geological anomalies, this invention extracts their anomalous energy features from the post-stack image volume and then performs targeted energy enhancement on these features. This allows the structure of such anomalous oil and gas reservoirs to be highlighted in the seismic image volume, thereby providing structural imaging data with a high signal-to-noise ratio for the identification of such well locations.
[0126] Example 2
[0127] Figure 5 A block diagram of an anomalous body stacking imaging construct apparatus according to an embodiment of the present invention is shown.
[0128] like Figure 5 As shown, the anomalous body post-stack imaging construct device includes:
[0129] The denoising module 201 removes and suppresses reflection structures outside the structural features based on the structural characteristics of the beaded anomalies in the initial imaging volume, thereby obtaining the seismic imaging volume.
[0130] The attribute volume determination module 202 extracts the structural feature attributes of beaded anomalies in the seismic imaging volume to obtain the attribute volume;
[0131] The beading anomaly determination module 203 extracts the beading anomaly based on the attribute body.
[0132] The overlay module 204 overlays the initial imaging volume or seismic imaging volume with the beaded anomaly volume to obtain the imaging data volume.
[0133] As an alternative, structural feature attributes of beaded anomalies in seismic imaging volumes can be extracted to obtain attribute volumes including:
[0134] Different attribute values are calculated for imaging bodies with different structural features, thereby determining the attribute values corresponding to the beaded anomaly and obtaining the attribute body.
[0135] As an optional approach, extracting bead anomaly bodies from attribute bodies includes:
[0136] Set a threshold value for the attribute body, remove attributes that are not at the threshold value, and obtain the beaded abnormal body.
[0137] As an optional approach, a threshold value is set for the attribute body, and attributes other than the threshold value are removed from the attribute body to obtain the following beaded anomaly body:
[0138] Set the attribute values in the attribute body that are less than the threshold value to 0, and set the remaining attribute values to 1;
[0139] Extract the attribute body with an attribute value of 1, which is the beading anomaly body.
[0140] As an alternative, the threshold value is positively correlated with the representation scale of the beads.
[0141] As an alternative, the initial imaging volume and the beaded anomaly volume are weighted and superimposed using formula (1) to obtain the imaging data volume:
[0142] C=m×B2×A+A (1)
[0143] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A is the initial imaging volume.
[0144] As an alternative, the seismic imaging volume and the beaded anomaly volume are weighted and superimposed using formula (2) to obtain the imaging data volume:
[0145] C=m×B2×A'+A' (2)
[0146] Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A' is the seismic imaging volume.
[0147] Example 3
[0148] This disclosure provides an electronic device comprising: a memory storing executable instructions; and a processor executing the executable instructions in the memory to implement the above-described method for constructing post-stack imaging of abnormal bodies.
[0149] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.
[0150] This memory is used to store non-transitory computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.
[0151] The processor may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of this disclosure, the processor is used to execute computer-readable instructions stored in the memory.
[0152] Those skilled in the art will understand that, in order to solve the technical problem of how to achieve a good user experience, this embodiment may also include well-known structures such as communication buses and interfaces, and these well-known structures should also be included within the protection scope of this disclosure.
[0153] For a detailed description of this embodiment, please refer to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.
[0154] Example 4
[0155] This disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the described method for constructing post-stack imaging of abnormal bodies.
[0156] A computer-readable storage medium according to embodiments of the present disclosure stores non-transitory computer-readable instructions. When these non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the methods described in the foregoing embodiments of the present disclosure are performed.
[0157] The aforementioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or portable hard drive), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).
[0158] Those skilled in the art should understand that the above description of the embodiments of the present invention is only intended to illustrate the beneficial effects of the embodiments of the present invention, and is not intended to limit the embodiments of the present invention to any of the examples given.
[0159] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.
Claims
1. A method for constructing post-stack imaging of anomalies, characterized in that, include: Based on the structural features of the beaded anomalies in the initial image, the reflection structures outside the structural features are removed and suppressed to obtain the seismic image. Extract the structural feature attributes of the beaded anomalies in the seismic imaging volume to obtain the attribute volume; Extract the bead anomaly body based on the attribute body; The initial imaging volume or the seismic imaging volume is superimposed with the beaded anomaly volume to obtain the imaging data volume; Extracting the bead anomaly body based on the attribute body includes: Set a threshold value for the attribute body, and remove attributes that are not at the threshold value from the attribute body to obtain the beaded anomaly body; Specifically, setting a threshold value for the attribute body and removing attributes other than the threshold value from the attribute body to obtain the beading anomaly body includes: Set the attribute values in the attribute body that are less than the threshold value to 0, and set the remaining attribute values to 1; Extract the attribute body with an attribute value of 1, which is the beading anomaly body.
2. The method for constructing post-stack imaging of abnormal bodies according to claim 1, wherein, Extracting the structural feature attributes of the beaded anomaly from the seismic imaging volume, the resulting attribute volume includes: Different attribute values are calculated for imaging bodies with different structural features, and then the attribute values corresponding to the beaded anomaly are determined to obtain the attribute body.
3. The method for constructing post-stacked imaging of abnormal bodies according to claim 1, wherein, The threshold value is positively correlated with the representation scale of the beads.
4. The method for constructing post-stack imaging of abnormal bodies according to claim 1, wherein, The initial imaging volume and the beaded anomaly volume are weighted and superimposed using formula (1) to obtain the imaging data volume: C = m × B² × A + A (1) Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A is the initial imaging volume.
5. The method for constructing post-stack imaging of abnormal bodies according to claim 1, wherein, The seismic imaging volume and the beaded anomaly volume are weighted and superimposed using formula (2) to obtain the imaging data volume: C = m × B² × A' + A' (2) Where C is the imaging data volume, m is the weighting coefficient, B2 is the beaded anomaly volume, and A' is the seismic imaging volume.
6. A device for constructing an imaging structure after stacking an anomalous body, characterized in that, include: The noise reduction module removes and suppresses reflection structures outside the structural features of the beaded anomaly in the initial image volume to obtain the seismic image volume. The attribute body determination module extracts the structural feature attributes of the beaded anomalies in the seismic imaging body to obtain the attribute body; The beading anomaly determination module extracts the beading anomaly based on the attribute body. The overlay module overlays the initial image volume or the seismic image volume with the beaded anomaly volume to obtain an image data volume; Extracting the bead anomaly body based on the attribute body includes: Set a threshold value for the attribute body, and remove attributes that are not at the threshold value from the attribute body to obtain the beaded anomaly body; Specifically, setting a threshold value for the attribute body and removing attributes other than the threshold value from the attribute body to obtain the beading anomaly body includes: Set the attribute values in the attribute body that are less than the threshold value to 0, and set the remaining attribute values to 1; Extract the attribute body with an attribute value of 1, which is the beading anomaly body.
7. An electronic device, characterized in that, The electronic device includes: Memory, which stores executable instructions; A processor that executes the executable instructions in the memory to implement the anomalous body post-stack imaging construction method according to any one of claims 1-5.
8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method for constructing post-stack imaging of abnormal bodies as described in any one of claims 1-5.