ANN测井相分析方法研究

ANALYSIS OF WELL LOGGING FACIES BY ANN TECHNIQUE

本文研究了用于测井相分析识别岩性的人工神经网络（ＡＮＮ）模型设计并在ＳＵＮ工作站上用基于距离Ｄ－ＫｏｈｏｎｅｎＮＮ、Ｄ－ＢＰＮＮ两个网络建立了ＡＮＮ自动测井相分析系统。在实际应用中对比了ＡＷ岩相识别和传统多元统计岩相识别的效果，证明了ＡＮＮ模式识别技术用于测井相分析的可行性和优越性。

In this paper,Two ANN models-D-Kohonen NN and D-BP NN, for automatic recognitions of lithofacies from well logs by analysis of well logging facies have been developcd on SUN workstation. This program of ANN faci log analysis has successfully applied in a western oil field.The result show that ANN technique is useful in analysis of well loging facies ,and this program has high accuracy for recognition of lithofacies.