Seismic multi-attribute RGBA (red, green, blue, alpha) color fusion method

Abstract

The invention discloses a seismic multi-attribute RGBA (red, green, blue, alpha) color fusion method which comprises the following steps of: (a) firstly, respectively transforming three different input seismic attribute values (Vi=1, 2, 3) into three red (IR), green (IG) and blue (IB) components by a certain transformation T; (b) calculating a color IRGB of a point by utilizing a color mixing rule of an RGB color space; and (c) finally, obtaining an RGBA fused image and if a formula that x=(x, y, z) is met, popularizing to the three-dimensional data cube condition to generate an RGBA color fused data cube. The seismic multi-attribute RGBA color fusion method has simple steps and high fusion efficiency; and cost of seismic multi-attribute RGBA color fusion is greatly reduced.

Description

Technical field [0001] The invention relates to a seismic multi-attribute RGBA color fusion method. Background technique [0002] In the process of oil and gas exploration and development, whether it is reservoir structure and lithology identification, or oil and gas reservoir feature monitoring, seismic exploration is an important tool. In order to obtain more information from the seismic data for the interpretation of underground structures and the description of stratum and lithological characteristics, the extraction and analysis of seismic attributes is the most effective method. [0003] In the past thirty years, exploration geophysicists have extracted more than 100 seismic attributes from seismic data, including amplitude attributes, frequency attributes, phase attributes, waveform attributes, structural attributes, and AVO Attributes, spectral decomposition attributes, etc., and then analyze the rich information contained in the seismic attributes, qualitatively or quanti...

AI Technical Summary

Problems solved by technology

[0009] Generally speaking, in domestic oil exploration circles, 3D visualization interpretation has been widely used, and some theoretical research results of 3D visualization of seismic data have been obtained; seismic multi-attribute fusion has some application examples in China, but the research on theoretical methods It is still lacking. Even the popular "multi-attribute fusion of earthquakes based on color space" in foreign research in the past two years has not paid enough attention.