石油研究（英文）2025，Vol.10Issue(3)：485-500,16.DOI:10.1016/j.ptlrs.2025.03.002
A new intelligent optimization method for drilling parameters of extended reach wells based on mechanical specific energy and machine learning
A new intelligent optimization method for drilling parameters of extended reach wells based on mechanical specific energy and machine learning
摘要
关键词
Extended reach drilling/Intelligent optimization of drilling parameters/Rate of penetration prediction/Mechanical specific energy/Machine learning/NSGA-ⅡKey words
Extended reach drilling/Intelligent optimization of drilling parameters/Rate of penetration prediction/Mechanical specific energy/Machine learning/NSGA-Ⅱ引用本文复制引用
Xuyue Chen,Rong Wang,Jin Yang,Deli Gao,Gengchen Li,Pengbo Li..A new intelligent optimization method for drilling parameters of extended reach wells based on mechanical specific energy and machine learning[J].石油研究（英文）,2025,10(3):485-500,16.基金项目
This work was financially supported by the National Natural Science Foundation of China(Grant numbers:52174012 （）
52394250 （）
52394255 （）
52234002 （）
U22B20126 （）
51804322). （）
