Blar i Department of Energy Resources (TN-IER) på emneord "machine learning"
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Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids
(Journal article; Peer reviewed, 2020-01)Estimating the solubility of carbon dioxide in ionic liquids, using reliable models, is of paramount importance from both environmental and economic points of view. In this regard, the current research aims at evaluating ... -
A study of Machine Learning application on net-to-gross prediction using seismic horizons. Case Study: The Brent Group - Statfjord Field
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-07-15)As petroleum geosciences enter the era of big data, this field of study encompass difficult optimization and decision-making in real-world problems. The increasing number, difficulty, and scale of such specific problems ...