并结合建模软件建立储层沉积微相模型，实现了测井解释成果的定量化应用。
It establishes reservoir microfacies using modeling software to realize quantitative application of well logging interpretation.
顺序指示建模技术能够真实的再现相序变化特征，反映储层沉积微相的分布。
The technique of sequential indication modeling would be used to represent the characteristics of facies sequence changes, reflect the distribution of sedimentary microfacies of reservoirs.
针对河流-三角洲储层沉积微相的划分问题，提出了基于加权模糊推理神经网络的判别方法。
Based on the division of river-delta reservoir sedimentary facies, we present a distinguishing method based on the fuzzy reasoning NN.
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