Funder
Energy Institute, Texas A and M University
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Misra Siddharth, Hao Li, & Jiabo He (2019) Machine learning for subsurface characterization. Gulf Professional Publishing
2. Xu, Chicheng , Misra, Siddharth , Srinivasan, Poorna, & Shouxiang Ma (2019) “When Petrophysics Meets Big Data: What can Machine Do?.” Paper presented at the SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain. https://doi.org/10.2118/195068-MS
3. Osogba O, Misra S, Xu C (2020) Machine learning workflow to predict multi-target subsurface signals for the exploration of hydrocarbon and water. Fuel 278:118357
4. Li H, Misra S (2021) Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations. Expert Syst Appl 177:114942
5. Energy, Global (2019) CO2 status Report. IEA (International Energy Agency), Paris
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