干旱区生态环境知识资源中心(Arid): Application of artificial neural network in optimizing the drilling rate of penetration of western desert Egyptian wells

Arid

DOI	10.1007/s42452-020-2993-8
	Application of artificial neural network in optimizing the drilling rate of penetration of western desert Egyptian wells
	Azim, Reda Abdel
通讯作者	Azim, RA (corresponding author), Amer Univ Kurdistan, Petr Engn Dept, Dohouk, Kurdistan Regio, Iraq.
来源期刊	SN APPLIED SCIENCES
ISSN	2523-3963
EISSN	2523-3971
出版年	2020
卷号	2 期号:7
英文摘要	This study presents an intensive artificial neural network ANN model designed using FORTRAN language to predict the drilling rate of penetration ROP with high accuracy. The developed ANN model gives a new correlation to be used in ROP prediction as a function of drilling parameters: bit size, mud circulation rate, drilling interval, wight on bit WOB and rotary speed RPM. The back-propagation algorithm is used as learning procedure to supervise neural nets. In the training process More than 3000 actual data points are collected to be used as inputs for the neural network box. The optimization process of ANN model shows that the optimum number of neurons that gives the lowest average error between the actual and predicted ROP is 20 neurons. The resultant average square error estimated for ANN model was less than 3% with R of 0.958. A comparison between the developed ANN-ROP model and the number of selected published ROP models are performed. The results show that ANN model able to estimate ROP with high accuracy compared with other models. The novel ANN model in this study gives empirical correlation that can be used to estimate the ROP without need for artificial intelligence software.
英文关键词	Artificial neural network ROP Correlation Drilling parameters
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	ESCI
WOS记录号	WOS:000617500900003
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352697
作者单位	[Azim, Reda Abdel] Amer Univ Kurdistan, Petr Engn Dept, Dohouk, Kurdistan Regio, Iraq
推荐引用方式 GB/T 7714	Azim, Reda Abdel. Application of artificial neural network in optimizing the drilling rate of penetration of western desert Egyptian wells[J],2020,2(7).
APA	Azim, Reda Abdel.(2020).Application of artificial neural network in optimizing the drilling rate of penetration of western desert Egyptian wells.SN APPLIED SCIENCES,2(7).
MLA	Azim, Reda Abdel."Application of artificial neural network in optimizing the drilling rate of penetration of western desert Egyptian wells".SN APPLIED SCIENCES 2.7(2020).

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