Robotics & Machine Learning Daily News2024,Issue(Jun.13) :90-90.

Research from Southern University of Science and Technology (SUSTech) Provides N ew Study Findings on Machine Learning (An interpretable ensemble machine learnin g workflow for permeability predictions in tight sandstone reservoirs using logg ing ...)

南方科技大学(SUSTech)的研究提供了关于机器学习的新的研究结果(一种可解释的集成机器学习工作流程,用于使用测井预测致密砂岩储层渗透率...)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :90-90.

Research from Southern University of Science and Technology (SUSTech) Provides N ew Study Findings on Machine Learning (An interpretable ensemble machine learnin g workflow for permeability predictions in tight sandstone reservoirs using logg ing ...)

南方科技大学(SUSTech)的研究提供了关于机器学习的新的研究结果(一种可解释的集成机器学习工作流程,用于使用测井预测致密砂岩储层渗透率...)

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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-人工智能的新研究是一份新报告的主题。根据NewsRx记者从深圳发来的新闻报道,研究表明:“致密砂岩储层具有强烈的纵向非均质性和复杂的孔隙结构,挑战了传统的基于测井数据的渗透率评价方法。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from Shenzhen, Peo ple's Republic of China, by NewsRx journalists, research stated, “Tight sandston e reservoirs exhibit strong vertical heterogeneity and complex pore structures, challenging conventional permeability evaluation methods based on well logging d ata.”

Key words

Southern University of Science and Techn ology (SUSTech)/Shenzhen/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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