Robotics & Machine Learning Daily News2024,Issue(Apr.12) :41-41.

New Findings in Machine Learning Described from Pittsburgh (Unconventional Wells Interference: Supervised Machine Learning for Detecting Fracture Hits)

Robotics & Machine Learning Daily News2024,Issue(Apr.12) :41-41.

New Findings in Machine Learning Described from Pittsburgh (Unconventional Wells Interference: Supervised Machine Learning for Detecting Fracture Hits)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Pittsbu rgh, Pennsylvania, by NewsRx editors, the research stated, “The primaryobjectiv e of the study was development of a machine learning (ML)-based workflow for fra cture hit (“frachit”) detection and monitoring using shale oil-field data such as drilling surveys, production history (oil andproduced water), pressure, and fracking start time and duration records.”

Key words

U.S. Department of Energy/Pittsburgh/P ennsylvania/United States/North and Central America/Cyborgs/Emerging Technol ogies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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