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20172022
most citedPhysics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem

23 citations · 59 across the 9 of their papers we have counts for

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physics.comp-ph2021

Probabilistic forecast of multiphase transport under viscous and buoyancy forces in heterogeneous porous media

Farzaneh Rajabi, Hamdi A. Tchelepi

In this study, we develop a probabilistic approach to map the parametric uncertainty to the output state uncertainty in first-order hyperbolic conservation laws. We analyze this pr…

physics.comp-ph2018

Nonlinear Acceleration of Sequential Fully Implicit (SFI) Method for Coupled Flow and Transport in Porous Media

Jiamin Jiang, Hamdi A. Tchelepi

The sequential fully implicit (SFI) method was introduced along with the development of the multiscale finite volume (MSFV) framework, and has received considerable attention in re…

physics.comp-ph2018

The stochastic counterpart of conservation laws with heterogeneous conductivity fields: application to deterministic problems and uncertainty quantification

Amir H. Delgoshaie, Peter W. Glynn, Patrick Jenny +1

Conservation laws in the form of elliptic and parabolic partial differential equations (PDEs) are fundamental to the modeling of many problems such as heat transfer and flow in por…

physics.comp-ph2018

Sequential Fully Implicit Formulation for Compositional Simulation using Natural Variables

A. Moncorge, H. A. Tchelepi, P. Jenny

The Sequential Fully Implicit (SFI) method was proposed to simulate coupled immiscible multiphase fluid flow in porous media. Later, it was extended to the black-oil model, whereby…

physics.comp-ph2018

Dissipation-Based Continuation Method for Multiphase Flow in Heterogeneous Porous Media

Jiamin Jiang, Hamdi A. Tchelepi

In reservoir simulation, solution of the coupled systems of nonlinear algebraic equations that are associated with fully-implicit (backward Euler) discretization is challenging. Ha…