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Petroleum Science and Technology Volume 20, 2002 - Issue 1-2
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Original Articles

ARTIFICIAL NEURAL NETWORK MODEL FOR ACCURATE PREDICTION OF PRESSURE DROP IN HORIZONTAL AND NEAR-HORIZONTAL-MULTIPHASE FLOW

El-Sayed A. Osman King Fahd University of Petroleum & Minerals, KFUPM Box 130, Dhahran, 31261, Saudi Arabia
&
Mohamed A. Aggour King Fahd University of Petroleum & Minerals, KFUPM Box 130, Dhahran, 31261, Saudi Arabia
Pages 1-15 | Received 06 Feb 2001, Accepted 01 Mar 2001, Published online: 14 Feb 2007

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I. Dubdub, S. Rushd, M. Al-Yaari & E. Ahmed. (2022) Application of ANN to the water-lubricated flow of non-conventional crude. Chemical Engineering Communications 209:1, pages 47-61.
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A.E. Feili Monfared, M. Ranjbar, H. Nezamabadi-Pour, M. Schaffie & R. Ashena. (2011) Substantial Improvement of the Bottom-hole Circulating Pressure Prediction by the Combination of GA and ANFIS. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 33:24, pages 2272-2280.
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A. Feili Monfared, M. Ranjbar, H. Nezamabadi-Poor, M. Schaffie & R. Ashena. (2011) Development of a Neural Fuzzy System for Advanced Prediction of Bottomhole Circulating Pressure in Underbalanced Drilling Operations. Petroleum Science and Technology 29:21, pages 2282-2292.
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Fei Yan, Shihao Cheng, Zhenyu Yang, Jian Zhang & Rui Zhu. Pressure drop prediction in a pneumatic conveying system with different curvature radius pipes for conveying particles. Particulate Science and Technology 0:0, pages 1-20.
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G. H. Aggrey & D. R. Davies. (2007) Tracking the State and Diagnosing Downhole Permanent Sensors in Intelligent-Well Completions With Artificial Neural Network. Tracking the State and Diagnosing Downhole Permanent Sensors in Intelligent-Well Completions With Artificial Neural Network.
E. A. Osman, M. A. Ayoub & M. A. Aggour. (2005) Artificial Neural Network Model for Predicting Bottomhole Flowing Pressure in Vertical Multiphase Flow. Artificial Neural Network Model for Predicting Bottomhole Flowing Pressure in Vertical Multiphase Flow.
Keivan Ardam, Behzad Najafi, Andrej Hanusovsky, Paoloma Vega Pinchet Domecq, Fabio Rinaldi & Luigi Pietro Maria Colombo. (2022) Reproducible Machine Learning/Physical Based Models for Pressure Drop Estimation in Two-Phase Adiabatic Flows in Smooth Tubes. SSRN Electronic Journal.
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