China University of Mining and Technology Researcher Releases New Data on Machin e Learning (Comparison of Machine Learning- Based Breakdown Pressure Prediction a nd Initiation Criteria in Hydraulic Fracturing Testing)

Robotics & Machine Learning Daily News2024，Issue(Dec.12) ：55-56.

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China University of Mining and Technology Researcher Releases New Data on Machin e Learning (Comparison of Machine Learning- Based Breakdown Pressure Prediction a nd Initiation Criteria in Hydraulic Fracturing Testing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Jiangsu, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Thebreakdo wn pressure ([Formula: see text]) is a cri tical index for assessing the effectiveness of reservoirstimulation. Achieving precise and efficient evaluation of [Formula: see text] under multiple influencingfactors is essential for deepening understanding of t he underlying mechanisms in reservoir stimulation.”

Key words

China University of Mining and Technolog y/Jiangsu/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Ma chine Learning/Support Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航