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Application of Various Machine Learning Techniques in Predicting Water Saturation in Tight Gas Sandstone Formation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Water saturation (Sw) is a vital factor for the hydrocarbon in-place calculations. Sw is usually calculated using different equations
Data-Driven Approach for Resistivity Prediction Using Artificial Intelligence
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Formation resistivity is crucial for petrophysics and formation evaluation. Laboratory measurements and/or well logging can be used to provide resistivity data. Laboratory measurements are time-consuming and costly, limiting ...
Machine Learning Applications to Predict Surface Oil Rates for High Gas Oil Ratio Reservoirs
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Well-performance investigation highly depends on the accurate estimation of its oil and gas flowrates. Testing separators and multiphase flowmeters (MPFMs) are associated with many technical and operational issues. Therefore, ...
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