تصفح GPC Research حسب الموضوع "machine learning"
السجلات المعروضة 1 -- 4 من 4
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A mechanistic gas kick model to simulate gas in a riser with water and synthetic-based drilling fluid
( Society of Petroleum Engineers , 2020 , Conference Paper)This paper presents a simple mechanistic model to describe a gas kick in a drilling riser with water- based mud (WBM) and synthetic-based mud (SBM). This model can estimate key kick parameters such as the change in the ... -
A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique with trend analysis
( Public Library of Science , 2022 , Article)The bubble point pressure (Pb) could be obtained from pressure-volume-temperature (PVT) measurements; nonetheless, these measurements have drawbacks such as time, cost, and difficulties associated with conducting experiments ... -
Predicting carbonate formation permeability using machine learning
( Elsevier B.V. , 2020 , Article)It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ... -
Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
( John Wiley and Sons Inc , 2023 , Article)Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are ...