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Petroleum Science and Technology Volume 30, 2012 - Issue 13
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Original Articles

An Improved Ant Colony Algorithm–Based ANN for Bottom Hole Pressure Prediction in Underbalanced Drilling

R. Nasimi Department of Computer Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran
,
R. Irani Department of Computer Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran
&
B. Moradi Iranian Central Oil Fields Company, Tehran, Iran
Pages 1307-1316 | Received 29 Apr 2010, Accepted 28 May 2010, Published online: 14 May 2012

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Mahdi Imanian, Aazam Ghassemi & Mahdi Karbasian. (2018) Monitoring and control of bottomhole pressure during surge and swab operations using statistical process control. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40:8, pages 894-904.
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Yi Xiao, Yang Liu, John J. Liu, Jin Xiao & Yi Hu. (2016) Oscillations extracting for the management of passenger flows in the airport of Hong Kong. Transportmetrica A: Transport Science 12:1, pages 65-79.
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Articles from other publishers (4)

Jian Zhou, Yuxin Chen, Hui Chen, Manoj Khandelwal, Masoud Monjezi & Kang Peng. (2023) Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method. Frontiers in Public Health 11.
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Haibo Liang, Gang Liu, Jialing Zou, Jing Bai & Yingjun Jiang. (2021) Research on calculation model of bottom of the well pressure based on machine learning. Future Generation Computer Systems 124, pages 80-90.
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Mustafa Akpinar, M. Fatih Adak & Nejat Yumusak. (2017) Time series forecasting using artificial bee colony based neural networks. Time series forecasting using artificial bee colony based neural networks.
M. Adak & Nejat Yumusak. (2016) Classification of E-Nose Aroma Data of Four Fruit Types by ABC-Based Neural Network. Sensors 16:3, pages 304.
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