Machine learning-informed ensemble framework for evaluating shale gas production potential: Case study in the Marcellus Shale

Author:

Vikara Derek,Remson Donald,Khanna VikasORCID

Funder

National Energy Technology Laboratory

Office of Fossil Energy

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference117 articles.

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3. Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors;Amir Naghibi;J. Hydrol.,2020

4. A survey of cross-validation procedures for model selection;Arlot;Stat. Surv.,2010

5. The Marcellus and utica shales: geologic considerations;Arthur,2011

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