Mahmoud Abu El Ela
Professor of Petroleum Engineering
(email)
SPE-222787-MS
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Shetia, M. A. T., M. Abu El Ela, and A. El-Banbi,
"
A Novel Approach to Predict the Performance of All Types of Reservoir Fluids from Heavy Oils to Dry Gases
",
SPE-222787-MS, Paper presented at the ADIPEC
, Abu Dhabi, UAE, November 2024.
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SPE 223264 MS
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SPE-212284-PA
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SPE-222123-MS
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SPE-222787-MS
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SPE-223340-MS
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Recent Publications
A Novel Approach to Predict the Performance of All Types of Reservoir Fluids from Heavy Oils to Dry Gases
Predicting Scale Depositions of Barium and Strontium Sulfates Using Novel Artificial Neural Network Algorithms
Problems and Solutions for Asphaltene Precipitation in High API Oil Reservoirs-Case Histories
Development of Artificial Neural Network Model to Predict the Performance of the Fractionation Towers in Gas Processing Plant
Gas Wells Production Forecast Using Artificial and Recurrent Neural Networks Models and Comparison with Traditional Decline Curve Analysis Techniques
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