首页|New Findings from Tongji University in the Area of Machine Learning Reported (De ep Carbonate Reservoir Characterization Using Multiseismic Attributes: a Compari son of Unsupervised Machinelearning Approaches)
New Findings from Tongji University in the Area of Machine Learning Reported (De ep Carbonate Reservoir Characterization Using Multiseismic Attributes: a Compari son of Unsupervised Machinelearning Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Shanghai, Peop le’s Republic of China, by NewsRx editors, research stated, “Seismicreservoir c haracterization is of great interest for sweet spot identification, reservoir qu ality assessment,and geologic model building. The sparsity of the labeled sampl es often limits the application of supervisedmachine learning (ML) for seismic reservoir characterization.”
ShanghaiPeople’s Republic of ChinaAs iaAlkaliesAnionsCarbonatesCarbonic AcidCyborgsEmerging TechnologiesMachine LearningUnsupervised LearningTongji University
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