Robotics & Machine Learning Daily News2024,Issue(Jun.17) :77-77.

Findings from Wadia Institute of Himalayan Geology Broaden Understanding of Machine Learning (Porosity Prediction Using Ensemble Machine Learning Approaches: a Case Study From Upper Assam Basin)

Wadia喜马拉雅地质研究所的发现拓宽了机器学习的理解(使用集成机器学习方法预测孔隙度:来自上阿萨姆盆地的案例研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :77-77.

Findings from Wadia Institute of Himalayan Geology Broaden Understanding of Machine Learning (Porosity Prediction Using Ensemble Machine Learning Approaches: a Case Study From Upper Assam Basin)

Wadia喜马拉雅地质研究所的发现拓宽了机器学习的理解(使用集成机器学习方法预测孔隙度:来自上阿萨姆盆地的案例研究)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx Jou Rnists在印度德拉敦的新闻报道,研究表明:“孔隙度是一个重要的岩石物理参数,它决定岩石中包含的流体数量,包括油、水和天然气。在石油勘探中,孔隙度在储层划分、岩石物理研究和地质分析中起着至关重要的作用。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Dehradun, India, by NewsRx jou rnalists, research stated, “Porosity is an important petrophysical parameter that determines the amount of fluid, including oil, water, and gas contained within the rock. In petroleum exploration, it plays a crucial role in reservoir charac terization, petrophysical studies, and geological analysis.”

Key words

Dehradun/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/Wadia Institute of Himalayan Geology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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