首页|Data on Machine Learning Reported by Researchers at University of Texas Austin ( Basin-scale Prediction of S-wave Sonic Logs Using Machine Learning Techniques Fr om Conventional Logs)
Data on Machine Learning Reported by Researchers at University of Texas Austin ( Basin-scale Prediction of S-wave Sonic Logs Using Machine Learning Techniques Fr om Conventional Logs)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on Ma chine Learning. According to news reporting originating from Austin, Texas, by N ewsRx correspondents, research stated, “S-wave velocity plays a crucial role in various applications but often remains unavailable in vintage wells. To address this practical challenge, we propose a machine learning framework utilizing an e nhanced bidirectional long short-term memory algorithm for estimating S-wave son ic logs from conventional logs, including P-wave sonic, gamma ray, total porosit y, and bulk density.”
AustinTexasUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Texas Austin
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