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- Tang, H. (2019). Implementation and Testing of Reduced-Order Models in a General Reservoir Simulation Setting [M.S.].
- Jin, Z. (Larry). (2019). New Techniques for Reduced-Order Modeling in Reservoir Simulation [Ph.D.].
- Ye, T. (2019). Treatment of Geometric Constraints in Well Placement Optimization [M.S.].
- Jiang, R. (Forest). (2018). Accelerating Oil-Water Subsurface Flow Simulation Through Reduced-Order Modeling and Advances in Nonlinear Analysis [Ph.D.].
- Sun, W. (2018). Data-Space Approaches for Efficient Uncertainty Quantification in Subsurface Flow Problems [Ph.D.].
- Tian, C. (2018). Machine Learning Approaches for Permanent Downhole Gauge Data Interpretation [Ph.D.].
- Kostakis, F. (2018). Multifidelity Framework for Uncertainty Quantification with Multiple Quantities of Interest [M.S.].
- Shirangi, M. (2017). Advanced Techniques for Closed-Loop Reservoir Optimization under Uncertainty [Ph.D.].
- Brodrick, P. (2017). Computational Optimization of Solar Thermal and Natural Gas Power Systems [Ph.D.].
- Liu, Y. (2017). Multilevel Strategy for O-PCA-Based History Matching Using Mesh Adaptive Direct Search [M.S.].
- Abukhamsin, A. (2016). Inflow Profiling and Production Optimization in Smart Wells Using Distributed Acoustic and Temperature Measurements [Ph.D.].
- Cherry, J. (2016). Optimization Strategies for Shale Gas Asset Development [M.S.].
- Trehan, S. (2016). Surrogate modeling for subsurface flow: a new reduced-order model and error estimation procedures [Ph.D.].
- Jin, Z. (Larry). (2015). Application of Reduced-Order Modeling for Geological Carbon Sequestration [M.S.].
- Boch, A. (2015). Detailed Assessment of Multilevel Optimization for Field Development [M.S.].
- Rousset, M. (2015). Geological scenario determination using parameterized training images in a Bayesian framework [Ph.D.].
- Aliyev, E. (2015). Multilevel field development optimization under uncertainty using a sequence of upscaled models [Ph.D.].
- Vo, H. (2015). New Geological Parameterizations for History Matching Complex Models [Ph.D.].