Robotics & Machine Learning Daily News2024,Issue(Jan.18) :72-73.

Recent Findings in Machine Learning Described by Researcherss from Southwest Petroleum University (Supervised Machine Learnings Mode for Predicting Gas-liquid Flow Patterns In Upward Inclineds Pipe)

Robotics & Machine Learning Daily News2024,Issue(Jan.18) :72-73.

Recent Findings in Machine Learning Described by Researcherss from Southwest Petroleum University (Supervised Machine Learnings Mode for Predicting Gas-liquid Flow Patterns In Upward Inclineds Pipe)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Chengdu, People’s Republic of China, by NewsRx editors, research stated, “Accurateidentification of gas-liquid two-phase flow patterns during oil and gas drilling is critical to analyzing bottomhole pressure, detecting overflows in time, and preventing blowout accidents. Since the gas-liquid twophaseflow has deformable interfaces, resulting in complex gas-liquid two-phase flow patterns, the existinggas-liquid two-phase flow patterns are limited in width in terms of pipe diameter and incline, leading toadaptation problems in experimental flow patterns and mechanistic models.”

Key words

Chengdu/People’s Republic of China/Asia/Cyborgs/Emergings Technologies/Machine Learning/Southwest Petroleum University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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