前馈神经网络的岩性识别方法

doi:10.11743/ogg19990119

Abstract

Abstract:

Geological explanation of logging data is an important link of logging work.When there are scanty core data and more log data,feedforward neural network is a very effective method to recognize the logging lithology.This paper introduces an identifying method of logging lithology by the pattern recognition approach using feedbach nueral network.The approach firstly regards the relationship between drilling cores and logging parameters as an identifying pattern so as to obtain intelligent knowledge from the identifying pattern,and finally applies the knowledge to identify the logging lithology of well.The method was used in lithologic recognition of the 4th member of Shahejie Formation in Shengli Oilfields,the result is satisfactory and shows good application prospects.

Key words: neural network, BP algorithm, pattern recognition, logging lithology

Lu Xinwei, Jin Zhangdong. METHOD OF LITHOLOGIC RECOGNIZING BASED ON FEEDFORWARD NEURAL NETWORK[J]. Oil & Gas Geology, 1999, 20(1): 81-84,93.

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METHOD OF LITHOLOGIC RECOGNIZING BASED ON FEEDFORWARD NEURAL NETWORK

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