首页|New Machine Learning Findings from Georgia Institute of Technology Described (Ex plainable Machine Learning for Hydrocarbon Prospect Risking)
New Machine Learning Findings from Georgia Institute of Technology Described (Ex plainable Machine Learning for Hydrocarbon Prospect Risking)
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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 in Atlanta, Geo rgia, by NewsRx journalists, research stated, “Hydrocarbon prospectrisk assessm ent is an important process in oil and gas exploration involving the integrated analysis of variousgeophysical data modalities, including seismic data, well lo gs, and geologic information, to estimate thelikelihood of drilling success for a given drill location. Over the years, geophysicists have attempted tounderst and the various factors at play influencing the probability of success for hydro carbon prospects.”
AtlantaGeorgiaUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesHydrocarbonsMachine Learni ngOrganic ChemicalsGeorgia Institute of Technology
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