Robotics & Machine Learning Daily News2024,Issue(Jan.2) :57-58.

Study Results from Department of Geosciences Update Understanding of Machine Learning (Machine learning application for prediction of sonic wave transit time - A case of Niger Delta basin)

Robotics & Machine Learning Daily News2024,Issue(Jan.2) :57-58.

Study Results from Department of Geosciences Update Understanding of Machine Learning (Machine learning application for prediction of sonic wave transit time - A case of Niger Delta basin)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting from the Department of Geosciences by NewsRx journalists, research stated, “Sonic wave transittimes are the major logs for estimating pertinent geomechanical parameters including overburden stress,pore pressure, effective stress, and unconfined compressible strength among others. These logs containmuch important information about subsurface formation.”

Key words

Department of Geosciences/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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