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METHOD FOR SEISMIC FACIES INTERPRETATION USING TEXTURAL ANALYSIS AND NEURAL NETWORKS

机译:基于纹理分析和神经网络的地震相解释方法

摘要

Seismic facies are identified in a volume of seismic data (101), wherein a plurality of initial textural attributes representative of the volume of seismic data are calculated (103), with a probalistic neural network is constructed from the calculated initial textural attributes (107), in which textural attributes are calculated throughout the volume of seismic data (108), with the calculated final textural attributes are classified using the constructed probalistic neural network (111).
机译:在一定数量的地震数据中识别出地震相(101),其中,计算(103)代表地震数据的体积的多个初始纹理属性,并根据所计算的初始纹理属性来构建概率神经网络(107)。 ,其中在整个地震数据量中计算质地属性(108),并且使用构造的概率神经网络(111)对所计算的最终质地属性进行分类。

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