首页|Researchers from Chengdu University of Technology Describe Findings in Machine L earning (Prediction of Total Organic Carbon Content In Deep Marine Shale Reservo irs Based On a Super Hybrid Machine Learning Model)
Researchers from Chengdu University of Technology Describe Findings in Machine L earning (Prediction of Total Organic Carbon Content In Deep Marine Shale Reservo irs Based On a Super Hybrid Machine Learning Model)
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2024 OCT 03 (NewsRx)-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 out of Chengdu, Peopl e's Republic of China, by NewsRx editors, research stated, "The total organic ca rbon (TOC) content is crucial for assessing the gas-bearing potential of shale r eservoirs. Thus,quantitative characterization and intelligent prediction of TOC content play important roles in determining geological sweet spots and the deve lopment of shale reservoirs."
ChengduPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChengdu University of Techn ology
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