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GLCM Parameters in Fluvial Texture Analysis
详细信息   
摘要
Channel texture is an acoustic expression of a fluvial facies via seismic amplitude fluctuations.The Gray Level Co-occurrence Matrix(GLCM) attribute has been proved to be a promising method for seismic texture analysis.As we try to extract seismic texture attributes,however,it is a big uncertainty how to select the optimal GLCM parameters which will impact the final estimated seismic texture results and also affect the computing time.In this paper,we study the relationship between GLCM parameters and final seismic texture results to simplify the computation of GLCM.We build an ideal synthetic channel reservoir model which is derived from a modern meandering river.Then we simulate a noise-free post-stack seismic data using 3D Gaussian beam approach.With the synthetic channel model data,we will show how to select the four key GLCM parameters including the gray levels,the size of moving window,and the distance and direction of gray pairs.Selecting various combinations of these four key parameters,we extract four GLCM secondary statistical measurements(Energy,Entropy,Contrast,and Homogeneity).Based on theoretical equations and horizontal slices of texture,we ultimately get a proper co-occurrence matrix parameter for fluvial reservoir from our synthetic channel model.For energy and entropy,the number of gray levels is lower.For contrast and homogeneity,the number of gray levels is higher.The size of moving window is smaller than the half of the size of geological target.The distance of gray pairs is usually 1.And we usually represent repetitive patterns of gray pairs at angles of 0°,45°,90° and 135° to the axes.At last,we apply our method on the field data from Bohai Bay,China.This real seismic example shows that GLCM is an effective method for accurate and reliable channel texture measurements.

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