首页|Research Conducted at Texas Technical University Has Provided New Information ab out Machine Learning (Enhancing Shale Gas Eur Predictions With Tpe Optimized Smo gn: a Comparative Study of Machine Learning Algorithms In the Marcellus Shale Wi th ...)
Research Conducted at Texas Technical University Has Provided New Information ab out Machine Learning (Enhancing Shale Gas Eur Predictions With Tpe Optimized Smo gn: a Comparative Study of Machine Learning Algorithms In the Marcellus Shale Wi th ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news originatingfrom Lubbock, Texas, by NewsRx corre spondents, research stated, “Oil and gas operators frequentlyrely on traditiona l methods to predict Estimated Ultimate Recovery (EUR) but, these methods oftenfail to accurately predict shale gas EUR. Therefore, machine learning (ML) algor ithms were shown aspromising alternatives but, the negative effects of imbalanc ed datasets on their performance still remainsunderexplored.”
LubbockTexasUnited StatesNorth and Central AmericaAlgorithmsCyborgsEmerging TechnologiesMachine LearningTexas Technical University
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