首页|New Machine Learning Findings from Federal University Fluminense Reported (Estim ating Total Organic Carbon of Potential Source Rocks In the Espirito Santo Basin , Se Brazil, Using Xgboost)
New Machine Learning Findings from Federal University Fluminense Reported (Estim ating Total Organic Carbon of Potential Source Rocks In the Espirito Santo Basin , Se Brazil, Using Xgboost)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromNiteroi, Brazil, by NewsRx journalis ts, research stated, “Identifying and constraining source rocks is criticalfor petroleum system modeling and risk assessment. Traditional methods for total org anic carbon (TOC) estimation based on well logs have limitations, leading to the emergence of machine learning techniqueslike XGBoost.”
NiteroiBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningFederal University Fluminense
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