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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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Principais autores: Guoxiang Liu, Xiongjun Wu, Vyacheslav Romanov
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-03-01
Serier:Applied Sciences
Fag:
hydraulic fracturing
machine learning
probability
unconventional wells
Online adgang:https://www.mdpi.com/2076-3417/14/7/2927
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