Conference Papers
Conference Papers
Conference Papers
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Conference papers presented at/published for a scientific conference.
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Results for: Conference Papers
- Zou, A, and L Durlofsky. “Integrated Framework for Optimization of Horizontal Deviated Well Placement and Control for Geological CO2 Storage”, SPE Reservoir Simulation Conference - 2023, 2023. https://doi.org/10.2118/212228-MS.
- Aronson, R, F Hamon, N Castelletto, and H Tchelepi. “Pressure Jump Stabilization for Compositional Poromechanics on Unstructured Meshes”, SPE Reservoir Simulation Conference - 2023, 2023. https://doi.org/10.2118/212206-MS.
- Kim, Y, and L Durlofsky. “Closed-Loop Reservoir Management Using a Convolutional-Recurrent Neural Network Proxy for Robust Production Optimization”, ECMOR 2022, 2022. https://doi.org/10.3997/2214-4609.202244035.
- Shovkun, I, and H Tchelepi. “A Cut-Cell Polyhedral Finite Element Model for Coupled Fluid Flow and Mechanics in Fractured Reservoirs”, SPE Reservoir Simulation Conference - 2021, 2021. https://doi.org/10.2118/203958-MS.
- Franc, J, O Moyner, and H Tchelepi. “Coupling-Strength Criteria for Sequential Implicit Formulations”, SPE Reservoir Simulation Conference - 2021, 2021. https://doi.org/10.2118/203909-MS.
- Deucher, R, and H Tchelepi. “High-Order Adaptive Scheme for Reactive Transport in Heterogeneous Porous Media”, SPE Reservoir Simulation Conference - 2021, 2021. https://doi.org/10.2118/203972-MS.
- Tang, M, L Liu, and L Durlofsky. “History Matching Complex 3D Systems Using Deep-Learning-Based Surrogate Flow Modeling and CNN-PCA Geological Parameterization”, SPE Reservoir Simulation Conference - 2021, 2021. https://doi.org/10.2118/203924-MS.
- Fraces, C, and H Tchelepi. “Physics Informed Deep Learning for Flow and Transport in Porous Media”, SPE Reservoir Simulation Conference - 2021, 2021.
- Tang, H, O Volkov, H Tchelepi, and L Durlofsky. “Reduced-Order Modeling in a General Reservoir Simulation Setting”, SPE Western Regional Meeting - 2021, 2021. https://doi.org/10.2118/200794-MS.
- Tang, Haoyu, Oleg Volkov, Hamdi Tchelepi, and Louis Durlofsky. “Reduced-Order Modeling in a General Reservoir Simulation Setting”, SPE Western Regional Meeting, April 5, 2020, Paper Number: SPE-794. https://doi.org/10.2118/200794-MS.
- Tang, M, Y Liu, and L Durlofsky. “Deep-Learning-Based 3D Geological Parameterization and Flow Prediction for History Matching”, ECMOR 2020, 2020. https://doi.org/10.3997/2214-4609.202035085.
- Nasir, Y, O Volkov, and L Durlofsky. “Large-Scale Field Development Optimization Using a Two-Stage Strategy”, ECMOR XVII - 2020, 2020. https://doi.org/10.3997/2214-4609.202035030.
- Franceschini, A, N Castelletto, J White, R Settgast, and H Tchelepi. “Novel Stabilizations for a Piecewise Constant Lagrangian Formulation of Frictional Contact Mechanics With Hydraulically Active Fractures”, ECMOR XVII - 2020, 2020. https://doi.org/10.3997/2214-4609.202035140.
- Fuks, O, and H Tchelepi. “Physics Based Deep Learning for Nonlinear Two-Phase Flow in Porous Media”, ECMOR XVII - 2020, 2020. https://doi.org/10.3997/2214-4609.202035147.
- Mazuyer, A, S Klevtsov, A Franceschini, H Gross, and M Karimi-Fard. “A Parallel Multilevel Framework for Simulation of Multiphase Flow in Heterogeneous Porous Media Using Unstructured Grids”, Proceedings of IAMG 2019 - 20th Annual Conference of the International Association for Mathematical Geosciences, 2019.
- Jin, Z, T Garipov, O Volkov, and L Durlofsky. “Reduced-Order Modeling of Coupled Flow-Geomechanics Problems”, SPE Reservoir Simulation Conference - 2019, 2019. https://doi.org/10.2118/193863-MS.
- Li, J, Z Wong, P Tomin, and H Tchelepi. “Sequential Implicit Newton Method for Coupled Multi-Segment Wells”, SPE Reservoir Simulation Conference - 2019, 2019. https://doi.org/10.2118/193833-MS.
- Karimi-Fard, M, and L Durlofsky. “An Unstructured Dual-Grid Model for Flow in Fractured and Heterogeneous Porous Media”, ECMOR XVI - 2018, 2018. https://doi.org/10.3997/2214-4609.201802264.
- Moncorge, A, H Tchelepi, and P Jenny. “Consistent Upwinding for Sequential Fully Implicit Compositional Simulation”, ECMOR XVI - 2018, 2018. https://doi.org/10.3997/2214-4609.201802129.
- Cremon, M., M. Christie, and M. Gerritsen. “Monte Carlo Simulation for Uncertainty Quantification in Reservoir Simulation: A Convergence Study”, ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery, 2018. https://doi.org/10.3997/2214-4609.201802226.