首页|New Data from China University of Petroleum (East China) IlluminateFindings in Machine Learning [Analytical Method Based On Machine Learning (Am-bml) for a Cased Borehole Under Anisotropic In-situ Stresses In Formation]
New Data from China University of Petroleum (East China) IlluminateFindings in Machine Learning [Analytical Method Based On Machine Learning (Am-bml) for a Cased Borehole Under Anisotropic In-situ Stresses In Formation]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Qingdao, People’s Republic of China, by NewsRx editors, research stated, “AbstractIn this work,an analytical method based on machine learning (AM-BML) is proposed to predict the stress dis tributionaround a cased borehole in the formation with anisotropic in-situ stre sses. Firstly, the stress field equationswith undetermined coefficients are der ived using the elasticity theory to formulate the stress field near thecased bo rehole.”
QingdaoPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChina University of Petrole um (East China)
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