Optimization of Gas Production Using Machine Learning Modeling of Geological Core Facies and Monte Carlo Simulation: Application in the Permian, Southwest Kansas.

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Title: Optimization of Gas Production Using Machine Learning Modeling of Geological Core Facies and Monte Carlo Simulation: Application in the Permian, Southwest Kansas.
Authors: Amosu, Adewale1, adewale.amosu@nmt.edu, Reyes, Martin2, Sibaweihi, Najmudeen1,3, Koray, Abdul-Muaizz1,3, Appiah Kubi, Emmanuel2,3, Gyimah, Emmanuel2,3, Agyei, Emmanuel1,3, Ampomah, William1,3
Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2436, 27p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 192636214
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  Data: Optimization of Gas Production Using Machine Learning Modeling of Geological Core Facies and Monte Carlo Simulation: Application in the Permian, Southwest Kansas.
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        Value: 10.3390/app16052436
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 2436
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      – TitleFull: Optimization of Gas Production Using Machine Learning Modeling of Geological Core Facies and Monte Carlo Simulation: Application in the Permian, Southwest Kansas.
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              Text: Mar2026
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              Y: 2026
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