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Seismic attribute multi-scale fusion method and device, electronic equipment and medium

A technology of multi-scale fusion and seismic attributes, applied in seismology, measuring devices, seismic signal processing, etc., can solve problems such as large memory usage, long time required, and low efficiency

Pending Publication Date: 2022-01-18
CHINA PETROLEUM & CHEM CORP +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The EPD method can decompose the attribute into the bottom layer and the detail layer while retaining the edge information of the attribute, so this method can provide ideal decomposition results for image fusion. Representative methods include weighted least squares filter method, L0 minimum gradient method, L1 fidelity method based on L0 gradient, image-guided filtering method, lateral filtering (CBF) method, anisotropic diffusion (ADF) method, etc.; long, low efficiency

Method used

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  • Seismic attribute multi-scale fusion method and device, electronic equipment and medium
  • Seismic attribute multi-scale fusion method and device, electronic equipment and medium
  • Seismic attribute multi-scale fusion method and device, electronic equipment and medium

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Experimental program
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Embodiment 1

[0164] figure 1 A flowchart showing the steps of the method for multi-scale fusion of seismic attributes according to an embodiment of the present invention.

[0165] Such as figure 1 As shown, the method for multi-scale fusion of seismic attributes includes: Step 101, performing spectral decomposition processing on the three-dimensional stacked seismic data through generalized S-transformation to obtain a multi-scale seismic data volume; Step 102, calculating the multi-scale attribute according to the multi-scale seismic data volume data; step 103, compare geological information with multi-scale attribute data, and determine source attributes for data fusion; step 104, perform seismic attribute image fusion through visual saliency image fusion algorithm, and obtain fused attribute images.

[0166] Figure 2a , Figure 2b , Figure 2c , Figure 2d Schematic diagrams respectively showing slices of coherence attribute, curvature attribute, fault factor attribute and dip ang...

Embodiment 2

[0172] Fig. 3 shows a block diagram of a seismic attribute multi-scale fusion device according to an embodiment of the present invention.

[0173] As shown in Figure 3, the seismic attribute multi-scale fusion device includes:

[0174] The spectrum decomposition module 201 is used to perform spectrum decomposition processing on the three-dimensional stacked seismic data through the generalized S-transform to obtain a multi-scale seismic data body;

[0175] The attribute calculation module 202 calculates multi-scale attribute data according to the multi-scale seismic data volume;

[0176] The comparison module 203 compares the geological information with the multi-scale attribute data to determine the source attribute of the data fusion;

[0177] The fusion module 204 performs fusion of seismic attribute images through a visual saliency image fusion algorithm to obtain a fusion attribute image.

[0178] As an option, visual saliency image fusion algorithms include:

[0179] ...

Embodiment 3

[0202] The present disclosure provides an electronic device comprising: a memory storing executable instructions; a processor running the executable instructions in the memory to implement the above multi-scale seismic attribute fusion method.

[0203] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.

[0204] The 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 include, for example, random access memory (RAM) and / or cache memory (cache). The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, and the like.

[0205] The processor may be a central processing unit (CPU) or other form of processing unit having data processing capabili...

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Abstract

The invention discloses a seismic attribute multi-scale fusion method and device, electronic equipment and a medium. The method comprises the following steps: performing spectral decomposition processing on three-dimensional superposition seismic data through generalized S transformation to obtain a multi-scale seismic data volume; calculating multi-scale attribute data according to the multi-scale seismic data volume; comparing the geological information with the multi-scale attribute data, and determining a source attribute of data fusion; and performing seismic attribute image fusion through a visual saliency image fusion algorithm to obtain a fused attribute image. A data fusion algorithm and a generalized S-transform spectrum decomposition method are combined to perform seismic attribute slice image fusion, detail information of source attribute slices can be reserved, and abnormal signals in the source attribute slices can be highlighted.

Description

technical field [0001] The present invention relates to the field of seismic data interpretation, and more specifically relates to a seismic attribute multi-scale fusion method, device, electronic equipment and medium. Background technique [0002] Seismic attributes refer to parameters about seismic kinematics, seismic dynamics, and statistical properties calculated from seismic signals. Seismic attributes can be used to describe underground geological characteristics and reservoir characteristics. As the most important means of seismic interpretation, after decades of development, there are currently hundreds of seismic attributes. Due to different algorithms, different seismic attributes reflect subsurface geological features from different angles, and each has its own strengths in characterizing different geological features. However, the complexity of underground geological features, the noise and accuracy of seismic data, and other limitations make each seismic attrib...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/50G06V10/80G06K9/62G01V1/30
CPCG06T7/0002G06T5/50G01V1/307G06T2207/10004G06T2207/20016G06T2207/20056G06T2207/20064G06T2207/20081G06T2207/20221G06T2207/20192G06T2207/30181G06F18/25
Inventor 夏红敏刘兰锋刘俊州史云清王箭波温立峰
Owner CHINA PETROLEUM & CHEM CORP
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