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- W2594821021 abstract "The explosion of data types and volumes we are experiencing in the oil field, particularly in unconventional reservoir development, is stretching the capabilities of traditional manual workflows. The complex interactions between dynamic reservoir properties and the many-faceted well completions process are governed by complex physics that may be only partially understood. Furthermore, our best attempts to perform controlled experiments can often produce highly varied results, suggesting the stochastic nature of production from unconventionals and that we may benefit from adding new tools to our toolkit of deterministic, physics-based analysis." @default.
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- W2594821021 date "2017-03-01" @default.
- W2594821021 modified "2023-09-27" @default.
- W2594821021 title "Introduction to this special section: Data analytics and machine learning" @default.
- W2594821021 doi "https://doi.org/10.1190/tle36030206.1" @default.
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