Comparison of supervised and unsupervised approaches for mudstone lithofacies classification: Case studies from the Bakken and Mahantango-Marcellus Shale …. Bhattacharya S, Carr TR, Pal M. S Bhattacharya, TR Carr, M Pal - Journal of Natural Gas Science and …, 2016 - Elsevier GSID: aFLA07q_52UJ
Identifying organic-rich Marcellus Shale lithofacies by support vector machine classifier in the Appalachian basin. Carr TR. G Wang, TR Carr, Y Ju, C Li - Computers & Geosciences, 2014 - Elsevier GSID: qVlVG4jlx7gJ
The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling. [No authors listed] GSID: xwjT3rY09hgJ
Towards Bayesian quantification of permeability in micro-scale porous structures–the database of micro networks. [No authors listed] GSID: z_j-jiazAIAJ
Application of predictive data analytics to model daily hydrocarbon production using petrophysical, geomechanical, fiber-optic, completions, and surface data: A case …. [No authors listed] GSID: 1rFhLATVPyIJ