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-一项关于机器学习的新研究现在已经可用。根据NewsRx编辑在德克萨斯州大学站的新闻报道，Research指出，“这项研究为确定最合适的机器学习(ML)模型提供了概念验证，该模型根据温度、原油和注入流体组成预测最小混相压力(MMP)。MMP定义为最低压力注入气体开发与储层油混相对气增强采油至关重要。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of College Station, Texas, by NewsRx editors, research stated, “This study provides the proof-of-concept for identifying the most suitable machine-learning (ML) model that predicts minimum miscibility pressure (MMP) based on temperature, crude oil, and injected fluid composition. MMP defined as the lowest pressure injected gas developing miscibility with reservoir oil is crucial for gas-enhanced oil recovery.”
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