Application on Lithology Recognition with BP Artificial Neural Network

Abstract

An Artificial Neural Network (ANN) model is established to recognize the drilled formations’ lithologies while drilling. The styles of output and input of ANN are designed. The nerve cells in input layer are weight of bit (WOB), speed of rotary (SOR) and rate of penetration (ROP). The number of nerve cells in output layer is designed to be three… (More)

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Cite this paper

@article{Zhou2009ApplicationOL, title={Application on Lithology Recognition with BP Artificial Neural Network}, author={Jinhui Zhou and Jienian Yan and Li Pan}, journal={2009 Third International Symposium on Intelligent Information Technology Application}, year={2009}, volume={1}, pages={56-59} }