A Method of Seismic Attribute Fusion Based on Trigonometric Kernel Function

Abstract

The present invention discloses a method of earthquake attribute attributes based on the triangular nuclear function, including the following steps: imported the original data of the earthquake attribute to be integrated, and extract the original data of the earthquake attributes; use non -linear mapping functions to find the characteristic space of the original data; the data is standardized for standardization, Unified measurement, select the triangular function as the core function, calculate the nuclear matrix; then calculate the feature value and feature vector of the nuclear matrix, and arrange from large to small according to the value, and the first Q feature value and the large significant contribution rate of the special signing value andThe corresponding feature vector; the feature vector of the high -dimensional space is calculated by the lower formula; the redundant data is used according to the Bayesian probability model; and finally the fusion calculation is performed through the lower formula.This method can map non -linear relations between polyphones, integrate the common characteristics of different attributes, and extract one or a few main characteristics reflecting the reservoir, thereby achieving comprehensive processing of attributes, elimination of redundant information, and improving the purpose of the purposeThe purpose of layer prediction.

Description

technical field [0001] The invention relates to the technical field of seismic attribute fusion, in particular to a seismic attribute fusion method based on a trigonometric kernel function. Background technique [0002] Seismic attribute fusion technology is an attribute analysis method that has emerged in recent years. Because different seismic attributes have different sensitivities to geological features, the single seismic attribute analysis is increasingly unable to satisfy the interpretation of seismic data today. As more and more seismic attributes are proposed, the optimization of seismic attributes and the comprehensive interpretation of multidimensional seismic attributes become particularly important. The fusion technology of multi-dimensional seismic attributes is to apply mathematical methods to fuse multiple attributes reflecting the target reservoir. Influence factors on the target reservoir, and finally get the optimal result. Conventional multi-dimensiona...

AI Technical Summary

Problems solved by technology

Although the seismic attribute fusion algorithm of PCA and RGBA does not require too much human intervention in the process of implementation, the algorithm itself needs to calculate eigenvalues ​​and eigenvectors

And because the obtained results are affected by the value of RGBA, the obtained display results are sometimes complicated, which is not conducive to further interpretation and analysis by interpreters

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