首页|Studies from Chongqing University of Science and Technology Have Provided New In formation about Machine Learning (Experimental and Simulation Investigation On B allsealer Transport and Diversion Performance Aided By Machine Learning Method)
Studies from Chongqing University of Science and Technology Have Provided New In formation about Machine Learning (Experimental and Simulation Investigation On B allsealer Transport and Diversion Performance Aided By Machine Learning Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting originating in Chongqing, People's Repub lic of China, by NewsRx journalists, research stated, "Ball-sealer diversion has been proven to be an effective and economical way to increase fractures and fra cturing volume in multistage hydraulic fracturing and matrix acidizing treatment s. However, designing and implementing a successful ball-sealer diversion treatm ent is still challenging."Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
ChongqingPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningChongqing University of S cience and Technology
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