首页|New Machine Learning Study Results from Zhejiang University of Technology Described (Unveiling Key Factors Governing Seismogenic Potential and Seismogenic Productivity of Hydraulic Fracturing Pads: Insights From Machine Learning In the Southern …)
New Machine Learning Study Results from Zhejiang University of Technology Described (Unveiling Key Factors Governing Seismogenic Potential and Seismogenic Productivity of Hydraulic Fracturing Pads: Insights From Machine Learning In the Southern …)
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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 Zhejiang, People’s Republic of China, by NewsRx editors, research stated, “Oneof the most challenging works in mitigating seismic hazard related to injection-induced earthquakes (IIE)is to adequately estimate the activity level of IIE caused by individual hydraulic fracturing (HF) pad.Reliable estimation is largely dependent on comprehensively deciphering the relationships between IIE andthe controlling factors.”
ZhejiangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningZhejiang University of Technology