On the basis of sequence frame, combined with growing characteristics and lithologic feature of Beir depression, stratigraphic sedimentary pattern of different evolution stage are obtained.
在建立层序地层格架的基础上，结合盆地的演化特征及岩性变化，做出了本区不同演化阶段的沉积模式图。
Based on a number of stratigraphic sedimentary information included in log data, this paper carries out a recognition of sedimentary microfacies with a method of neutral network pattern recognition.
本文根据测井资料所包含的丰富的地层沉积学信息，运用神经网络模式识别方法，进行沉积微相的识别。
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