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September 20, 2024

Optimizing CO2 Sequestration in Coal Seams: A Machine Learning Framework for Wettability Prediction

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AIA. O. Ifenaike

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A. O. Ifenaike (2024) studied this question.

synapsesocial.com/papers/68e57d3ab6db64358751c62ehttps://doi.org/10.2118/223508-stu
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Also Consider

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  1. 1Coal Wettability: A Holistic Overview of the Data Sets, Influencing Factors, and Knowledge Gaps2024 · 37 citations
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  3. 3A Data-Driven Model for Predicting Competitive Adsorption of CH4 and CO2 in Shallow Coal Seams During CO2-Enhanced Coalbed Methane Recovery2025
  4. 4Optimizing Reservoir Characterization with Machine Learning: Predicting Coal Texture Types for Improved Gas Migration and Accumulation Analysis2025
  5. 5Application of artificial neural network and general machine learning modelling on <scp> CO <sub>2</sub> </scp> adsorption in moisture equilibrated South African high and medium rank coals2026