Conference Papers
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- Zou, A., & Durlofsky, L. (2023). Integrated Framework for Optimization of Horizontal/Deviated Well Placement and Control for Geological CO2 Storage. SPE Reservoir Simulation Conference - 2023. https://doi.org/10.2118/212228-MS
- Aronson, R., Hamon, F., Castelletto, N., & Tchelepi, H. (2023). Pressure Jump Stabilization for Compositional Poromechanics on Unstructured Meshes. SPE Reservoir Simulation Conference - 2023. https://doi.org/10.2118/212206-MS
- Kim, Y., & Durlofsky, L. (2022). Closed-loop Reservoir Management using a Convolutional-Recurrent Neural Network Proxy for Robust Production Optimization. ECMOR 2022. https://doi.org/10.3997/2214-4609.202244035
- Shovkun, I., & Tchelepi, H. (2021). A Cut-Cell Polyhedral Finite Element Model for Coupled Fluid Flow and Mechanics in Fractured Reservoirs. SPE Reservoir Simulation Conference - 2021. https://doi.org/10.2118/203958-MS
- Franc, J., Moyner, O., & Tchelepi, H. (2021). Coupling-strength criteria for sequential implicit formulations. SPE Reservoir Simulation Conference - 2021. https://doi.org/10.2118/203909-MS
- Deucher, R., & Tchelepi, H. (2021). High-Order Adaptive Scheme for Reactive Transport in Heterogeneous Porous Media. SPE Reservoir Simulation Conference - 2021. https://doi.org/10.2118/203972-MS
- Tang, M., Liu, L., & Durlofsky, L. (2021). History matching complex 3D systems using deep-learning-based surrogate flow modeling and CNN-PCA geological parameterization. SPE Reservoir Simulation Conference - 2021. https://doi.org/10.2118/203924-MS
- Fraces, C., & Tchelepi, H. (2021). Physics informed deep learning for flow and transport in porous media. SPE Reservoir Simulation Conference - 2021.
- Tang, H., Volkov, O., Tchelepi, H., & Durlofsky, L. (2021). Reduced-Order Modeling in a General Reservoir Simulation Setting. SPE Western Regional Meeting - 2021. https://doi.org/10.2118/200794-MS
- Tang, H., Volkov, O., Tchelepi, H., & Durlofsky, L. (2020). Reduced-Order Modeling in a General Reservoir Simulation Setting. SPE Western Regional Meeting, Paper Number: SPE-200794. https://doi.org/10.2118/200794-MS
- Tang, M., Liu, Y., & Durlofsky, L. (2020). Deep-Learning-Based 3D Geological Parameterization and Flow Prediction for History Matching. ECMOR 2020. https://doi.org/10.3997/2214-4609.202035085
- Nasir, Y., Volkov, O., & Durlofsky, L. (2020). Large-Scale Field Development Optimization Using a Two-Stage Strategy. ECMOR XVII - 2020. https://doi.org/10.3997/2214-4609.202035030
- Franceschini, A., Castelletto, N., White, J., Settgast, R., & Tchelepi, H. (2020). Novel stabilizations for a piecewise constant lagrangian formulation of frictional contact mechanics with hydraulically active fractures. ECMOR XVII - 2020. https://doi.org/10.3997/2214-4609.202035140
- Fuks, O., & Tchelepi, H. (2020). Physics based deep learning for nonlinear two-phase flow in porous media. ECMOR XVII - 2020. https://doi.org/10.3997/2214-4609.202035147
- Mazuyer, A., Klevtsov, S., Franceschini, A., Gross, H., & Karimi-Fard, M. (2019). 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.
- Jin, Z., Garipov, T., Volkov, O., & Durlofsky, L. (2019). Reduced-order modeling of coupled flow-geomechanics problems. SPE Reservoir Simulation Conference - 2019. https://doi.org/10.2118/193863-MS
- Li, J., Wong, Z., Tomin, P., & Tchelepi, H. (2019). Sequential implicit Newton method for coupled multi-segment wells. SPE Reservoir Simulation Conference - 2019. https://doi.org/10.2118/193833-MS
- Karimi-Fard, M., & Durlofsky, L. (2018). An unstructured dual-grid model for flow in fractured and heterogeneous porous media. ECMOR XVI - 2018. https://doi.org/10.3997/2214-4609.201802264
- Moncorge, A., Tchelepi, H., & Jenny, P. (2018). Consistent upwinding for sequential fully implicit compositional simulation. ECMOR XVI - 2018. https://doi.org/10.3997/2214-4609.201802129
- Cremon, M., Christie, M., & Gerritsen, M. (2018). Monte Carlo simulation for uncertainty quantification in reservoir simulation: a convergence study. ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery. https://doi.org/10.3997/2214-4609.201802226