首页|New Findings in Machine Learning Described from Pittsburgh (Unconventional Wells Interference: Supervised Machine Learning for Detecting Fracture Hits)
New Findings in Machine Learning Described from Pittsburgh (Unconventional Wells Interference: Supervised Machine Learning for Detecting Fracture Hits)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Pittsbu rgh, Pennsylvania, by NewsRx editors, the research stated, “The primaryobjectiv e of the study was development of a machine learning (ML)-based workflow for fra cture hit (“frachit”) detection and monitoring using shale oil-field data such as drilling surveys, production history (oil andproduced water), pressure, and fracking start time and duration records.”
U.S. Department of EnergyPittsburghP ennsylvaniaUnited StatesNorth and Central AmericaCyborgsEmerging Technol ogiesMachine Learning
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