Robotics & Machine Learning Daily News2024,Issue(Jan.1) :33-34.

Findings from Northeast Petroleum University Yields New Data on Machine Learning (Statistical and Machine Learning Hybridization for Predicting Shear Wave Velocity In Tight Sand Reservoirs: a Case Study)

Robotics & Machine Learning Daily News2024,Issue(Jan.1) :33-34.

Findings from Northeast Petroleum University Yields New Data on Machine Learning (Statistical and Machine Learning Hybridization for Predicting Shear Wave Velocity In Tight Sand Reservoirs: a Case Study)

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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 reportingoriginating in Daqing, People’s Republic of China, by NewsRx journalists, research stated, “Shear wavevelocity plays an important role in describing the reservoir’s petrophysical and geomechanical characteristics.It is also important to understand the mechanical behavior of the reservoir since it is closely related to rockstrength and stiffness.”

Key words

Daqing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Northeast Petroleum University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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