Researchers from China University of Petroleum Describe Findingss in Machine Learning (A Real-time Drilling Parameters Optimizations Method for Offshore Large-scale Cluster Extended Reach Drillings Based On Intelligent Optimization Algorithm and …)

Robotics & Machine Learning Daily News2024，Issue(Jan.18) ：83-83.

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Researchers from China University of Petroleum Describe Findingss in Machine Learning (A Real-time Drilling Parameters Optimizations Method for Offshore Large-scale Cluster Extended Reach Drillings Based On Intelligent Optimization Algorithm and …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been presented. According to news reporting out ofBeijing, People’s Republic of China, by NewsRx editors, research stated, “Offshore large-scale clusterextended reach wells (ERWs) are widely used to develop offshore oil & gas resources. Due to the complexdownhole environments and complicated geological conditions, drilling parameters real-time optimizationis challenging in offshore large-scale cluster ERWs drilling.”

Key words

Beijing/People’s Republic of China/Asia/Algorithms/Cyborgs/s Emerging Technologies/Machine Learning/China University of Petroleum

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出版年

2024

Robotics & Machine Learning Daily News

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