Unconventional Wells Interference: Supervised Machine Learning for Detecting Fracture Hits
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DOI: 10.3390/app14072927
Abstract: 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… read more here.
Keywords: wells interference; fracture; machine; frac hit ... See more keywords
A Method for Matching Unconventional Wells and Reservoirs Based on Semi-Analytic Models
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DOI: 10.3390/en16073207
Abstract: Unconventional well technology is often used as one of the most important means to reduce costs and increase efficiency in oil fields. There are many methods for unconventional well type optimization, but there are relatively… read more here.
Keywords: matching unconventional; unconventional wells; well types; method matching ... See more keywords