2017

Li, L. (2017). A Bayesian Approach to Causal and Evidential Analysis for Uncertainty Quantification throughout the Reservoir Forecasting Process [PhD Thesis, Stanford University]. https://searchworks.stanford.edu/view/12137330

Aydin, O. (2017). A Bayesian Framework for Quantifying Fault Network Uncertainty Using a Marked Point Process Model [PhD Thesis, Stanford University]. https://searchworks.stanford.edu/view/11950552

Grujić, O. (2017). A Subsurface Modeling with Functional Data [PhD Thesis, Stanford University]. https://searchworks.stanford.edu/view/12212152

Yang, G. (2017). Holistic Strategies for Prediction Uncertainty Quantification of Contaminant Transport and Reservoir Production in Field Cases [PhD Thesis, Stanford University]. https://searchworks.stanford.edu/view/12123097