Unconventional Wells Interference: Supervised Machine Learning for Detecting Fracture Hits
The primary objective of the study was development of a machine learning (ML)-based workflow for fracture hit (“frac hit”) detection and monitoring using shale oil-field data such as drilling surveys, production history (oil and produced water), pressure, and fracking start time and duration records...
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| Format: | Artikel |
| Sprache: | English |
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MDPI AG
2024-03-01
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| Schriftenreihe: | Applied Sciences |
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| Online Zugang: | https://www.mdpi.com/2076-3417/14/7/2927 |