Artificial neural network model for prediction of drilling rate of penetration and optimization of parameters

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Artificial neural network model for prediction of drilling rate of penetration and optimization of parameters

According to field data, there are several methods to reduce the drilling cost of new wells. One of these methods is the optimization of drilling parameters to obtain the maximum available rate of penetration (ROP). There are too many parameters affecting on ROP like hole cleaning (including drillst...

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Bibliographic Details
Main Authors:	Bataee, M., Irawan, S., Kamyab, Mohammadreza
Format:	Journal Article
Published:	The Japan Petroleum Institute 2014
Subjects:	ROP correlation Drilling optimization Artificial neural network Penetration rate
Online Access:	https://www.jstage.jst.go.jp/article/jpi/57/2/57_65/_pdf http://hdl.handle.net/20.500.11937/12450

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