首页|Researcher at Seoul National University Releases New Study Findings on Machine L earning (Sequential binary classification of lithofacies from well log data and its uncertainty quantification)
Researcher at Seoul National University Releases New Study Findings on Machine L earning (Sequential binary classification of lithofacies from well log data and its uncertainty quantification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting originating from Seoul, South Kore a, by NewsRx correspondents, research stated, “Understanding and identifying the composition of various lithofacies in the subsurface is essential for successfu l reservoir characterization in hydrocarbon exploration.”
Seoul National UniversitySeoulSouth KoreaAsiaCyborgsEmerging TechnologiesMachine Learning
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