A method and apparatus for identifying volcanic conduits in volcanic rocks
By fusing texture feature values and tensor properties, and combining the gradient properties and stratigraphic distribution characteristics of seismic data volumes, the problem of identifying channels in intermediate-basic volcanic rocks was solved, the need for fine exploration of volcanic reservoirs was met, and exploration efficiency was improved.
Patent Information
- Application Number
- CN202311347771.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-17
- Publication Date
- 2025-11-25
- Estimated Expiration
- 2043-10-17
AI Technical Summary
Existing technologies are insufficient to accurately identify volcanic conduits in intermediate-basic volcanic rocks, especially in meeting the demand for detailed exploration during the mid-stage of exploration. Traditional methods also present challenges in characterizing intermediate-basic volcanic reservoirs, thus affecting the progress of oil and gas exploration.
A method and apparatus for identifying volcanic conduits are provided by fusing texture feature values and tensor properties, combining the gradient properties and stratigraphic distribution characteristics of seismic data volumes, and characterizing the development location of volcanic conduits through the fusion of texture feature values and tensor properties.
It enables accurate identification of volcanic conduits, fully characterizes the development location of volcanic conduits within the volcanic structure background, and improves the identification accuracy and exploration efficiency of volcanic reservoirs.
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Figure CN119846708B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of oil and gas geophysics, specifically relating to a method and apparatus for identifying volcanic rock and volcanic conduits. Background Technology
[0002] Volcanic oil and gas reservoirs are a crucial area of oil and gas exploration. Industrial oil and gas flows and large-scale reserves have been discovered in volcanic rocks across 40 basins in 13 countries worldwide. High-yield oil and gas reservoirs have also been discovered in volcanic rocks in several basins in China. For example, a major breakthrough was achieved this year in the Songliao Basin. Volcanic reservoirs are controlled by various factors, including the distribution of volcanic bodies and the lithology and facies of volcanic rocks, making accurate identification and characterization critical. Volcanic conduit facies often exhibit low-continuity, weak-amplitude seismic reflection characteristics. The usual method is to characterize the boundaries and extent of volcanic conduits based on variance properties. However, considering the strong amplitude influence of overlying volcanic overflow facies on seismic data in the target area, the generally low quality of seismic data and the limited accuracy of traditional variance models pose challenges to the precise identification of volcanic conduit boundaries.
[0003] Current methods for identifying and characterizing volcanic reservoirs primarily target acidic volcanic rocks with prominent paleo-uplift structures, which can be directly identified using seismic attributes such as dip angle, azimuth, and waveform classification. Compared to acidic volcanic rocks, intermediate-basic volcanic rocks are characterized by low magma viscosity, multiple eruption periods, and rapid vertical facies transitions. They typically occur in thin (interbedded) layers in wells, and the rock bodies often exhibit low-lying volcanic uplifts with indistinct volcanic structures, making direct identification of intermediate-basic volcanic structures significantly more challenging. Furthermore, most oil and gas basins in China are currently in the mid-stage of exploration, with exploration gradually shifting towards more detailed exploration. Existing methods for characterizing volcanic reservoirs are insufficient to meet the demands of current detailed exploration. Research in the Songliao Basin shows that the physical properties and hydrocarbon content of acidic volcanic reservoirs are controlled by volcanic facies, while the relationship between the formation and facies of intermediate-basic volcanic rocks remains unclear, hindering the progress of volcanic exploration in this region.
[0004] Based on this technical background, the present invention studies a method and device for identifying volcanic rock volcanic channels. Summary of the Invention
[0005] To address the shortcomings of existing technologies, this invention provides a method and apparatus for identifying volcanic rock volcanic channels. This method integrates texture feature values with tensor properties, which can fully characterize the development location of volcanic channels in the context of volcanic structures. Ultimately, it provides a complete and effective technical method and process for identifying volcanic rock volcanic channel facies.
[0006] To achieve the above objectives, a first aspect of the present invention provides a method for identifying volcanic rock and volcanic conduits, comprising:
[0007] Texture feature attributes and tensor attributes are obtained from the original time-domain seismic data volume of volcanic rocks;
[0008] By fusing the texture feature attributes with tensor attributes, the development location of volcanic conduits in volcanic rocks can be characterized.
[0009] A second aspect of the present invention provides a volcanic rock and volcanic passage identification device, comprising:
[0010] The attribute generation module is used to obtain texture feature attributes and tensor attributes based on the original time-domain seismic data volume of volcanic rocks.
[0011] The fusion characterization module is used to fuse the texture feature attributes with tensor attributes to characterize the development location of volcanic channels in volcanic rocks.
[0012] A third aspect of the present invention provides an electronic device, the electronic device comprising:
[0013] Memory, which stores executable instructions;
[0014] A processor that executes the executable instructions in the memory to implement the volcanic rock and volcanic channel identification method described in the first aspect.
[0015] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the volcanic rock and volcanic conduit identification method described in the first aspect.
[0016] The beneficial effects of this invention include:
[0017] (1) The volcanic rock volcanic channel identification method provided by the present invention integrates texture feature value attributes and tensor attributes, which can completely depict the development location of volcanic channels in the background of volcanic structure, and finally provide a complete and effective technical method and process for the identification of volcanic rock volcanic channel phase.
[0018] (2) In the volcanic rock and volcanic channel identification method provided by the present invention, the texture feature values are mainly arranged and combined with the frequency, amplitude and continuity aspects. Combined with the seismic response characteristics of the volcanic rock envelope surface or the seismic response characteristics of the volcanic channel phase, the outline of the chaotic reflective volcanic body can be accurately depicted.
[0019] (3) The volcanic rock and volcanic channel identification method provided by the present invention integrates the texture feature attributes with tensor attributes, combines the gradient attributes of the original time domain seismic data volume, and the continuity or abrupt changes of the horizontal and vertical distribution of seismic strata, which can reflect a clearer target boundary.
[0020] (4) The volcanic rock and volcanic channel identification method provided by the present invention calculates coherent attributes based on the original time-domain seismic data volume, calculates texture feature attributes through coherent attributes, and then compares and fuses the original time-domain seismic data volume with the texture feature attributes, which can accurately reflect the envelope features and channel features of volcanic rocks.
[0021] Other features and advantages of the present invention will be described in detail in the following detailed description section. Attached Figure Description
[0022] 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.
[0023] Figure 1 This is a flowchart of the volcanic rock and volcanic channel identification method proposed in this invention.
[0024] Figure 2 This is a texture feature attribute effect diagram extracted using the volcanic rock volcanic channel identification method in Embodiment 1 of the present invention.
[0025] Figure 3 This is a diagram showing the tensor attributes extracted using the volcanic rock and volcanic channel identification method in Embodiment 1 of the present invention. Detailed Implementation
[0026] 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.
[0027] This invention proposes a method for identifying volcanic rock and volcanic conduits, such as... Figure 1 As shown, it includes:
[0028] Texture feature attributes and tensor attributes are obtained from the original time-domain seismic data volume of volcanic rocks;
[0029] By fusing texture feature attributes with tensor attributes, the location of volcanic conduit development in volcanic rocks can be characterized.
[0030] The method in this invention fuses texture feature value attributes with tensor attributes, which can completely characterize the development location of volcanic channels in the context of volcanic structure, and ultimately provide a complete and effective technical method and process for the identification of volcanic channel facies in volcanic rocks.
[0031] According to the present invention, the texture feature attributes and tensor attributes obtained based on the original time-domain seismic data volume of volcanic rocks include:
[0032] Coherence properties were calculated based on the original time-domain seismic data volume;
[0033] Texture feature attributes are calculated based on coherence attributes;
[0034] The response feature type is obtained by comparing and fusing the original time-domain seismic data volume with texture feature attributes;
[0035] Tensor properties are calculated based on response feature types.
[0036] According to the present invention, the coherence properties calculated based on the original time-domain seismic data volume include:
[0037] The time-domain seismic data volume of volcanic rocks is sequentially filtered and coherence values are calculated to obtain coherence attributes; based on the coherence attributes, texture feature attributes are calculated, including:
[0038] Texture feature values are calculated based on coherence attributes to obtain texture feature attributes.
[0039] In this invention, the texture feature values are mainly arranged and combined with the frequency, amplitude, and continuity aspects. Combined with the seismic response characteristics of the volcanic rock envelope or the seismic response characteristics of the volcanic conduit phase, the outline of the chaotic reflective volcanic body can be accurately depicted.
[0040] In this invention, coherence attributes are calculated based on the original time-domain seismic data volume, and texture feature attributes are calculated through the coherence attributes. Then, the original time-domain seismic data volume and texture feature attributes are compared and fused, which can accurately reflect the envelope characteristics and channel characteristics of volcanic rocks.
[0041] Preferably, the texture feature values include at least one of frequency, amplitude, and continuity.
[0042] Preferably, the response characteristic types include seismic response characteristics of volcanic rock envelope surfaces and seismic response characteristics of volcanic conduit facies.
[0043] According to the present invention, the calculation of tensor properties based on response feature type further includes:
[0044] Based on tensor properties, high-frequency, chaotic, and strong reflections are identified to distinguish the volcanic conduit from surrounding anomalies.
[0045] According to the present invention, fusing texture feature attributes with tensor attributes to characterize the development location of volcanic conduits in volcanic rocks includes:
[0046] By fusing texture feature attributes with tensor attributes, combining the gradient attributes of the original time-domain seismic data volume, and the continuity or abrupt changes in the horizontal and vertical distribution of seismic strata, the development location of volcanic conduits in flood areas can be characterized.
[0047] In this invention, texture feature attributes and tensor attributes are fused together. Combined with the gradient attributes of the original time-domain seismic data volume, as well as the continuity or abrupt changes in the horizontal and vertical distribution of seismic strata, a clearer target boundary can be reflected.
[0048] The present invention will be described in more detail below through embodiments.
[0049] The embodiments of this invention take the Chagan Huahuoshiling Formation in the Songliao Basin as the research object. The Chagan Huahuoshiling Formation consists of multiple volcanic structures. From the distribution characteristics of the volcanic structures, it has the characteristics of central eruption. Multiple volcanic structures are superimposed and distributed in a continuous area around the crater, forming a complex volcanic structure group. The thickness of the volcanic rock strata varies rapidly laterally, and the reservoir is extremely heterogeneous. The volcanic rock facies are mainly explosive and effusive facies. Volcanic sedimentary facies and normal sedimentary facies are developed in the structural low. The internal structure of the volcano is complex, and the seismic response of the volcano is not much different from the surrounding area.
[0050] Example 1:
[0051] This embodiment takes the data of Yaoyingtai area of Chagan Huahuoshiling as an example to carry out the work of characterizing the development location of volcanic rock volcanic channels based on the volcanic rock volcanic channel identification method.
[0052] The volcanic conduit identification method based on volcanic rock in this embodiment specifically includes the following steps: Figure 1 For the Yaoyingtai area, the original seismic profile was processed, filtered, and coherent. Based on this, texture features in different directions were calculated. The texture feature values were then compared and fused with the original seismic profile. It can be seen that the identification effect of volcanic rock bodies with chaotic reflections due to seismic texture attributes is significantly improved. Seismic texture attributes can be used to characterize the outline of chaotically reflecting volcanic bodies. Then, gradient attributes, such as... Figure 2 As shown, the continuity or abrupt changes in the horizontal and vertical distribution of seismic strata are comprehensively applied to calculate attributes in order to reflect clearer target boundaries, such as the location of volcanic conduit development in flood areas.
[0053] Example 2:
[0054] This embodiment provides a method for identifying volcanic rock and volcanic conduits, such as... Figure 1 As shown, it includes:
[0055] Texture feature attributes and tensor attributes are obtained from the original time-domain seismic data volume of volcanic rocks;
[0056] By fusing texture feature attributes with tensor attributes, the location of volcanic conduit development in volcanic rocks is depicted.
[0057] Texture feature attributes and tensor attributes obtained from the original time-domain seismic data volume of volcanic rocks include:
[0058] Coherence properties were calculated based on the original time-domain seismic data volume;
[0059] Texture feature attributes are calculated based on coherence attributes;
[0060] The response feature type is obtained by comparing and fusing the original time-domain seismic data volume with texture feature attributes;
[0061] Tensor properties are calculated based on response feature types;
[0062] The coherence properties calculated based on the original time-domain seismic data volume include:
[0063] The time-domain seismic data volume of volcanic rocks is sequentially filtered and coherence values are calculated to obtain coherence attributes; based on the coherence attributes, texture feature attributes are calculated, including:
[0064] Texture feature values are calculated based on coherence attributes to obtain texture feature attributes;
[0065] Texture feature values include at least one of frequency, amplitude, and continuity;
[0066] Response characteristics include seismic response characteristics of volcanic rock envelope surfaces and seismic response characteristics of volcanic conduit facies.
[0067] Tensor properties calculated based on response feature types also include:
[0068] Based on tensor properties, high-frequency chaotic strong reflections are identified to distinguish the volcanic conduit from surrounding anomalies;
[0069] By fusing texture feature attributes with tensor attributes, the location of volcanic conduit development in volcanic rocks is characterized, including:
[0070] By fusing texture feature attributes with tensor attributes, combining the gradient attributes of the original time-domain seismic data volume, and the continuity or abrupt changes in the horizontal and vertical distribution of seismic strata, the development location of volcanic conduits in flood areas can be characterized.
[0071] Example 3:
[0072] This embodiment provides a volcanic rock and volcanic passage identification device, such as... Figure 1 As shown, it includes:
[0073] The attribute generation module is used to obtain texture feature attributes and tensor attributes based on the original time-domain seismic data volume of volcanic rocks.
[0074] The fusion characterization module is used to fuse texture feature attributes with tensor attributes to characterize the development location of volcanic conduits in volcanic rocks;
[0075] Texture feature attributes and tensor attributes obtained from the original time-domain seismic data volume of volcanic rocks include:
[0076] Coherence properties were calculated based on the original time-domain seismic data volume;
[0077] Texture feature attributes are calculated based on coherence attributes;
[0078] The response feature type is obtained by comparing and fusing the original time-domain seismic data volume with texture feature attributes;
[0079] Tensor properties are calculated based on response feature types;
[0080] The coherence properties calculated based on the original time-domain seismic data volume include:
[0081] The time-domain seismic data volume of volcanic rocks is sequentially filtered and coherence values are calculated to obtain coherence attributes; based on the coherence attributes, texture feature attributes are calculated, including:
[0082] Texture feature values are calculated based on coherence attributes to obtain texture feature attributes;
[0083] Texture feature values include at least one of frequency, amplitude, and continuity;
[0084] Response characteristics include seismic response characteristics of volcanic rock envelope surfaces and seismic response characteristics of volcanic conduit facies.
[0085] Tensor properties calculated based on response feature types also include:
[0086] Based on tensor properties, high-frequency chaotic strong reflections are identified to distinguish the volcanic conduit from surrounding anomalies;
[0087] By fusing texture feature attributes with tensor attributes, the location of volcanic conduit development in volcanic rocks is characterized, including:
[0088] By fusing texture feature attributes with tensor attributes, combining the gradient attributes of the original time-domain seismic data volume, and the continuity or abrupt changes in the horizontal and vertical distribution of seismic strata, the development location of volcanic conduits in flood areas can be characterized.
[0089] Example 4:
[0090] This invention provides an electronic device including a memory and a processor.
[0091] Memory, which stores executable instructions;
[0092] The processor executes executable instructions in memory to implement a method for identifying volcanic rock and volcanic conduits.
[0093] 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.
[0094] The processor may be a central processing unit (CPU) or other form of processing unit with data processing and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of the invention, the processor is used to execute computer-readable instructions stored in the memory.
[0095] 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 invention.
[0096] For a detailed description of this embodiment, please refer to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.
[0097] Example 5:
[0098] This invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements a method for identifying volcanic rock and volcanic conduits.
[0099] A computer-readable storage medium according to embodiments of the present invention 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 invention are performed.
[0100] 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).
[0101] The volcanic rock volcanic channel identification method provided by the embodiments of the present invention integrates texture feature value attributes and tensor attributes, which can completely characterize the development location of volcanic channels in the background of volcanic structure, and finally provide a complete and effective technical method and process for the identification of volcanic rock volcanic channel facies.
[0102] 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 identifying volcanic rock conduits, characterized in that, include: Texture feature attributes and tensor attributes are obtained from the original time-domain seismic data volume of volcanic rocks; By fusing the texture feature attributes with tensor attributes, the development location of volcanic conduits in volcanic rocks can be characterized. The texture feature attributes and tensor attributes obtained from the original time-domain seismic data volume of volcanic rocks include: Coherence properties were calculated based on the original time-domain seismic data volume; Texture feature attributes are calculated based on the coherence attributes; The response feature type is obtained by comparing and fusing the original time-domain seismic data volume with texture feature attributes; Tensor properties are calculated based on the aforementioned response feature types; The fusion of texture feature attributes and tensor attributes is used to characterize the development location of volcanic conduits in volcanic rocks, including: By fusing the texture feature attributes with tensor attributes, and combining them with the gradient attributes of the original time-domain seismic data volume, as well as the continuity or abrupt changes in the horizontal and vertical distribution of seismic strata, the development location of volcanic conduits in flood areas can be characterized.
2. The method for identifying volcanic rock and volcanic conduits according to claim 1, characterized in that, The coherence properties calculated based on the original time-domain seismic data volume include: The original time-domain seismic data volume of volcanic rocks is sequentially filtered and coherence values are calculated to obtain coherence attributes; based on the coherence attributes, texture feature attributes are calculated, including: Texture feature values are calculated based on the coherence attributes to obtain texture feature attributes.
3. The method for identifying volcanic rock and volcanic conduits according to claim 2, characterized in that, The texture feature values include at least one of frequency, amplitude, and continuity.
4. The method for identifying volcanic rock conduits according to claim 3, characterized in that, The response characteristic types include seismic response characteristics of volcanic rock envelope surfaces and seismic response characteristics of volcanic conduit phases.
5. The method for identifying volcanic rock and volcanic conduits according to claim 1, characterized in that, The tensor properties calculated based on the aforementioned response feature types also include: Based on the tensor properties, high-frequency cluttered strong reflections are identified to distinguish the volcanic conduit from surrounding anomalies.
6. A volcanic rock and volcanic passage identification device, characterized in that, include: The attribute generation module is used to obtain texture feature attributes and tensor attributes based on the original time-domain seismic data volume of volcanic rocks. The fusion characterization module is used to fuse the texture feature attributes with tensor attributes to characterize the development location of volcanic rock volcanic channels; The texture feature attributes and tensor attributes obtained from the original time-domain seismic data volume of volcanic rocks include: Coherence properties were calculated based on the original time-domain seismic data volume; Texture feature attributes are calculated based on the coherence attributes; The response feature type is obtained by comparing and fusing the original time-domain seismic data volume with texture feature attributes; Tensor properties are calculated based on the aforementioned response feature types; The fusion of texture feature attributes and tensor attributes is used to characterize the development location of volcanic conduits in volcanic rocks, including: By fusing the texture feature attributes with tensor attributes, and combining them with the gradient attributes of the original time-domain seismic data volume, as well as the continuity or abrupt changes in the horizontal and vertical distribution of seismic strata, the development location of volcanic conduits in flood areas can be characterized.
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 volcanic rock and volcanic conduit identification 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 volcanic rock and volcanic conduit identification method according to any one of claims 1-5.
Citation Information
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