首页|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)
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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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.”
ChengduPeople’s Republic of ChinaAsiaCyborgsEmergings TechnologiesMachine LearningSouthwest Petroleum University
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