Volcanic rock crack prediction method based on inclination angle imaging enhancement

Abstract

The invention relates to the technical field of petroleum and natural gas seismic exploration, and discloses a volcanic rock fracture prediction method based on inclination angle imaging enhancement. The method comprises the following steps: S1, inclination angle imaging enhancement: carrying out multi-scale and multi-azimuth inclination angle imaging enhancement on original seismic data, and calculating the similarity of adjacent channels by utilizing changes of inclination angles and azimuth angles so as to improve the transverse signal-to-noise ratio of the seismic data; s2, fault enhancement processing: performing fault enhancement processing on the original seismic data to improve the vertical resolution of the seismic data and improve the fault recognizability; and S3, crack prediction based on tensor direction field constraint: on the basis of seismic data after inclination angle imaging enhancement and fault enhancement processing, volcanic rock crack prediction is carried out based on tensor field direction constraint weighted fitting, the crack development strength is predicted, and a volcanic rock reservoir distribution area is finally determined in combination with regional geological analysis. According to the method, the crack prediction precision is greatly improved, and for the description and identification of the hidden volcanic vent, the volcanic form is clearer, and the volcanic channel position is more accurate.

Description

technical field [0001] The invention relates to the technical field of petroleum and natural gas seismic exploration, in particular to a method for predicting volcanic rock fracture-porous reservoirs, so as to improve the prediction accuracy of volcanic rock reservoirs and optimize favorable well location areas. Background technique [0002] With the increasing discovery of volcanic rock reservoirs, volcanic rocks have become a new field of oil and gas exploration. However, due to the deep burial depth of volcanic rocks and the influence of factors such as volcanic eruption periods and structural deformation, the internal strata and sequences of volcanic rocks are very complicated, resulting in a large number of seismic data. It is a chaotic reflection, the boundaries between different volcanic lithofacies belts and lithological combinations are not clear, the wave impedance features overlap seriously, and the volcanic rock reservoir type is mostly dual media, and the reservo...

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Problems solved by technology

Due to the deep burial of volcanic rocks, the formation of variable matrix, complex lithology, and large lithofacies changes, the signal-to-noise ratio of the data is generally low, the seismic response characteristics of volcanic rocks are not clear, and it is difficult to describe the volcanic structure and predict the subsequent volcanic rock reservoirs;

[0006] (2) The quantitative prediction accuracy of volcanic rock reservoirs is low

[0007] Conventional reservoir prediction methods are mostly based on facies-controlled inversion for quantitative prediction of volcanic rocks, but for fracture-porous volcanic rock reservoirs, the rock composition and pore structure of different lithofacies volcanic rocks are quite different, and the physical parameters and elastic parameters of the reservoirs vary greatly. The relationship is also different, and conventional inversion cannot effectively predict high-quality reservoirs

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