National Technical University of Athens Researcher Reports on Findings in Machin e Learning (Accelerating Numerical Simulations of CO2 Geological Storage in Deep Saline Aquifers via Machine-Learning-Driven Grid Block Classification)
雅典国立技术大学研究员报告了Machin E Learning的发现(通过机器学习驱动的网格区块分类加速对深层咸水层中二氧化碳地质储存的数值模拟)
National Technical University of Athens Researcher Reports on Findings in Machin e Learning (Accelerating Numerical Simulations of CO2 Geological Storage in Deep Saline Aquifers via Machine-Learning-Driven Grid Block Classification)
雅典国立技术大学研究员报告了Machin E Learning的发现(通过机器学习驱动的网格区块分类加速对深层咸水层中二氧化碳地质储存的数值模拟)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in artificial intelligence. According to news originating fromAthens, Greece, by NewsRx corre spondents, research stated, “The accurate prediction of pressure andsaturation distribution during the simulation of CO2 injection into saline aquifers is esse ntial for thesuccessful implementation of carbon sequestration projects.”
Key words
National Technical University of Athens/Athens/Greece/Europe/Cyborgs/Emerging Technologies/Machine Learning/Mathe matics/Numerical Modeling
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