Robotics & Machine Learning Daily News2024,Issue(Apr.24) :78-79.

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)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :78-79.

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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Abstract

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.”

Key words

Niteroi/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/Federal University Fluminense

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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