首页|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)
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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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.”
Department of GeosciencesCyborgsEmerging TechnologiesMachine Learning
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