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method for seismic fazien interpretation using texture analysis and neural networks

机译:纹理分析和神经网络的地震法人解释方法

摘要

Seismic facies are identified in a volume of seismic data, wherein, first, a plurality of initial textural attributes representative of the volume of seismic data are calculated. Next, a probabilistic neural network is constructed from the calculated initial textural attributes. Then, final textural attributes are calculated throughout the volume of seismic data. Finally, the calculated final textural attributes are classified using the constructed probabilistic neural network.
机译:在大量地震数据中识别出地震相,其中,首先,计算代表地震数据量的多个初始纹理属性。接下来,从计算出的初始纹理属性构造概率神经网络。然后,在整个地震数据量中计算最终的纹理属性。最后,使用构造的概率神经网络对计算的最终纹理属性进行分类。

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