Study on intelligent prediction method of rock drillability based on Bayesian lithology classification and optimized BP neural network

With the rapid development of shale gas in northeastern Sichuan province, problems such as low drilling rate, long drilling cycle and serious bit wear are becoming more and more prominent in shale gas drilling process. This paper proposes new prediction theory with two steps based on logging data se...

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Bibliographic Details
Published in:	Petroleum science and technology Vol. 40; no. 17; pp. 2141 - 2162
Main Authors:	Fang, Xinxin, Feng, Hong, Wang, Hao
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 12.05.2022 Taylor & Francis Ltd
Subjects:	Back propagation networks Bayesian Bayesian analysis BP neural network Classification Classifiers Data logging Drilling genetic algorithm Genetic algorithms Global optimization Lithology lithology classification Mathematical models Neural networks Parameters Prediction models rock drillability Shale gas
ISSN:	1091-6466, 1532-2459
Online Access:	Get full text
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