首页|Study Results from Colorado School of Mines Broaden Understanding of Machine Lea rning (Optimizing Production Well Geometry In the Utah Forge Geothermal Project Using Machine Learning and Fluid Flow Modeling)
Study Results from Colorado School of Mines Broaden Understanding of Machine Lea rning (Optimizing Production Well Geometry In the Utah Forge Geothermal Project Using Machine Learning and Fluid Flow Modeling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting originating from Golden, Co lorado, by NewsRx correspondents, research stated, “This studyaddresses the cri tical challenge of optimizing well placement in Enhanced Geothermal Systems (EGS ),specifically within the framework of the Utah FORGE geothermal project, as pa rt of the 2023 Societyof Petroleum Engineers (SPE) Geothermal Datathon. Effecti ve well placement is essential for enhancinggeothermal production efficiency an d maximizing resource utilization.”
GoldenColoradoUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine LearningColorado S chool of Mines
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