Robotics & Machine Learning Daily News2024,Issue(Feb.27) :19-19.

Study Findings from Texas A&M University Broaden Understanding of Machine Learning (A Machine Learning Approach for Gas Kick Identification)

Robotics & Machine Learning Daily News2024,Issue(Feb.27) :19-19.

Study Findings from Texas A&M University Broaden Understanding of Machine Learning (A Machine Learning Approach for Gas Kick Identification)

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Abstract

2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of College Station, Texas, by NewsRx editors, research stated, “Warning signs of a possible kick during drilling operations can either be primary (flow rate increase and pit gain) or secondary (drilling break and pump pressure decrease). Drillers rely on pressure data at the surface to determine in- situ downhole conditions while drilling.” Funders for this research include International Research Collaboration Co-fund (IRCC), TAMUQ Re- search Impact Project Fund, IRCC.

Key words

College Station/Texas/United States/North and Central Amer- ica/Cyborgs/Emerging Technologies/Machine Learning/Unsupervised Learning/Texas A&M University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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