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首页> 外文期刊>Network Daily News >Researchers’ Work from University of Engineering and Technology Focuses on Machine Learning (Characterization Based Machine Learning Modeling for the Prediction of the Rheological Properties of Water-based Drilling Mud: an Experimental Study On ...)
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Researchers’ Work from University of Engineering and Technology Focuses on Machine Learning (Characterization Based Machine Learning Modeling for the Prediction of the Rheological Properties of Water-based Drilling Mud: an Experimental Study On ...)

机译:工程大学的研究者的工作和技术的重点是机器学习(基于特征的机器学习模型预测的流变特性水基钻井泥浆:一个实验研究……)

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By a News Reporter-Staff News Editor at Network Daily News - Current study results on Machine Learning have been published. According to news reporting from Lahore, Pakistan, by NewsRx journalists, research stated, “The successful drilling operation depends upon the achievement of target drilling attributes within the environmental and economic constraints but this is not possible only on the basis of laboratory testing due to the limitation of time and resources. The chemistry of the mud decides its rheological potential and selection of the techniques required for recycling operations.”
机译:由一个新闻记者在网络新闻编辑每日新闻——当前的研究结果在机器学习已经出版。报告从拉合尔,巴基斯坦,NewsRx记者,研究指出:“成功的钻井作业取决于成就内的钻探目标属性但是这个环境和经济约束的基础是不可能只在实验室吗由于时间的限制,测试资源。流变的潜在和选择技术要求回收操作。”

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