Robotics & Machine Learning Daily News2024,Issue(Jul.30) :3-4.

Researchers from Yangtze University Describe Findings in Machine Learning (Ident ification of Reservoir Types In Deep Carbonates Based On Mixed-kernel Machine Le arning Using Geophysical Logging Data)

Robotics & Machine Learning Daily News2024,Issue(Jul.30) :3-4.

Researchers from Yangtze University Describe Findings in Machine Learning (Ident ification of Reservoir Types In Deep Carbonates Based On Mixed-kernel Machine Le arning Using Geophysical Logging Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Hubei, People’s Republic of Ch ina, by NewsRx journalists, research stated, “Identification of reservoirtypes in deep carbonates has always been a great challenge due to complex logging resp onses caused bythe heterogeneous scale and distribution of storage spaces. Trad itional cross-plot analysis and empiricalformula methods for identifying reserv oir types using geophysical logging data have high uncertaintyand low efficienc y, which cannot accurately reflect the nonlinear relationship between reservoir types andlogging data.”

Key words

Hubei/People’s Republic of China/Asia/Alkalies/Anions/Carbonates/Carbonic Acid/Cyborgs/Emerging Technologies/Fi sher’s Discriminant Analysis/Machine Learning/Yangtze University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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