Carbonate rock fault-karst body internal structure characterization method

Abstract

The invention discloses a carbonate rock fault-karst body internal structure characterization method which comprises the following steps: seismic data is subjected to post-stack inversion, and underground wave impedance data is obtained; a wave impedance data threshold value representing fracture-vug type reservoir body development is determined, and the underground wave impedance data is subjected to hollow-out engraving operation according to the wave impedance data threshold value; tensor attributes of the seismic data are calculated and subjected to spatial smoothing processing, a tensor attribute threshold value representing a broken area of the fault-karst body is determined, a tensor attribute spatial smoothing processing result is processed according to the tensor attribute threshold value, a contour of the fault-karst body can be obtained and used as a boundary, the tensor attributes and the underground wave impedance data are displayed in the contour, and therefore an external contour of the fault-karst body can be carved and an internal structure of the fault-karst body can be represented. According to the carbonate rock fault-karst body internal structure characterization method, comprehensive characterization of the carbonate rock fault-karst body can be realized via graph overlaying technologies, and a boundary of a fault-karst body oil reservoir and spatial distribution of a reservoir body can be carved out.

Description

technical field [0001] The invention relates to a development seismic method in oil reservoir development, in particular to a characterization method for the internal structure of carbonate rock fault-karst bodies. Background technique [0002] The storage space of fault-karst reservoirs is dominated by large caves or dissolved pores and caves. Affected by the development of karst water and faults, the internal structure of fault-karst reservoirs is extremely complex, and the vertical and horizontal heterogeneity of storage space is extremely strong. The structural separation is obvious, and the same fault zone has a large difference in reservoir filling due to different degrees of fragmentation, which poses a great challenge to subsequent reservoir prediction and reservoir modeling. [0003] The current fault-karst reservoir characterization methods are mainly divided into the following categories: [0004] (1) Using amplitude change rate technology to predict reservoirs o...

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Problems solved by technology

However, it is impossible to characterize the degree of fragmentation of the fracture;

[0007] (4) Use tensor attributes to calculate the discontinuity of underground space (Li Yi et al., Application of Gradient Structure Tensor Analysis Method in the Prediction of Channel Sand Body from 3D Seismic Data, Natural Gas Industry, 2011), and combine with the above-hole data to make fractures Fragmentation zone characterization, but not reservoir characterization

The above methods have characterized the carbonate reservoirs from different aspects, but because of the large difference in the value range of the characterization results by different methods, it is impossible to directly perform comprehensive prediction of the reservoirs

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