首页|Study Data from University of Science and Technology Beijing Update Understandin g of Machine Learning (A Machine Learningbased Method for Analyzing Factors Inf luencing Production Capacity and Production Forecasting In Fractured Tight Oil . ..)
Study Data from University of Science and Technology Beijing Update Understandin g of Machine Learning (A Machine Learningbased Method for Analyzing Factors Inf luencing Production Capacity and Production Forecasting In Fractured Tight Oil . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Beij ing, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, with the deepening of exploration and development theories for tig ht oil reservoirs and the continuous breakthroughs in key engineering technologi es, positive progress has been made in the development of onshore tight oil in C hina, it has become an important supplement to the growth of petroleum reserves and production. Therefore, identifying the main controlling factors of tight oil reservoir productivity and predicting this productivity are crucial for the dev elopment of petroleum resources.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesEngineeringMachine LearningUniversity of Science and Technology Beijing
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