首页|Researchers from University of British Columbia Report Details of New Studies an d Findings in the Area of Machine Learning (Application of Supervised Machine Le arning To Assess and Manage Fluid-injection-induced Seismicity Hazards Based On the ...)
Researchers from University of British Columbia Report Details of New Studies an d Findings in the Area of Machine Learning (Application of Supervised Machine Le arning To Assess and Manage Fluid-injection-induced Seismicity Hazards Based On the ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Vancouver, Canada, by NewsR x editors, research stated, “One of the key challenges in assessing, managing an d mitigating induced-seismicity hazards related to hydraulic fracturing and flui d injection activities is understanding how geological and operational features influence the likelihood and severity of an event. Geological features point to the pre-existing conditions that affect a well’s susceptibility to generating in duced seismicity.” Financial support for this research came from Geoscience BC.
VancouverCanadaNorth and Central Ame ricaCyborgsEmerging TechnologiesMachine LearningUniversity of British Co lumbia
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