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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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Guoxiang Liu, Xiongjun Wu, Vyacheslav Romanov
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	hydraulic fracturing machine learning probability unconventional wells
Online Access:	https://www.mdpi.com/2076-3417/14/7/2927