73 citations · 347 across the 31 of their papers we have counts for
32 papers
Adaptive Consistency for Mimetic Finite Differences
Yoo Jin Cha, Omar Duran, Nicola Castelletto +2
The mimetic finite difference (MFD) method provides a robust discretization for flow simulation on general polyhedral meshes, but its computational cost can become significant due…
A robust framework for frictional fault contact in geological formations using a stabilized augmented Lagrangian approach
Matteo Frigo, Nicola Castelletto, Matteo Cusini +2
Numerical simulations are essential for evaluating the performance and safety of geological engineered systems such as geologic carbon storage sites, enhanced geothermal fields, an…
Sensitivity of Trapping Efficiency and Relative Permeability to Experimental Methodology in Laboratory Core Flooding
Catherine Spurin, Catherine Callas, Takeshi Kurotori +2
Understanding the migration and trapping of CO in the subsurface is vital to geologic carbon storage projects. Traditional characterization methods employ steady-state co-injec…
Python workflow for segmenting multiphase flow in porous rocks
Catherine Spurin, Sharon Ellman, Dane Sherburn +2
X-ray micro-computed tomography (X-ray micro-CT) is widely employed to investigate flow phenomena in porous media, providing a powerful alternative to core-scale experiments for es…
Pressure stability in explicitly coupled simulations of poromechanics with application to CO sequestration
Ryan M. Aronson, Pavel Tomin, Nicola Castelletto +3
We study in detail the pressure stabilizing effects of the non-iterated fixed-stress splitting in poromechanical problems which are nearly undrained and incompressible. When applie…
Dynamic Mode Decomposition of real-time 4D imaging data to explore intermittent fluid connectivity in subsurface flows
Aman Raizada, Steffen Berg, Sally M. Benson +2
The interaction of multiple fluids through a heterogeneous pore space leads to complex pore-scale flow dynamics, such as intermittent pathway flow. The non-local nature of these dy…
Pressure-stabilized fixed-stress iterative solutions of compositional poromechanics
Ryan M. Aronson, Nicola Castelletto, François P. Hamon +2
We consider the numerical behavior of the fixed-stress splitting method for coupled poromechanics as undrained regimes are approached. We explain that pressure stability is related…
The role of injection method on residual trapping at the pore-scale in continuum-scale samples
Catherine Spurin, Sharon Ellman, Tom Bultreys +1
The injection of CO into underground reservoirs provides a long term solution for anthropogenic emissions. A variable injection method (such as ramping the flow rate up or down…
Learning CO plume migration in faulted reservoirs with Graph Neural Networks
Xin Ju, François P. Hamon, Gege Wen +3
Deep-learning-based surrogate models provide an efficient complement to numerical simulations for subsurface flow problems such as CO geological storage. Accurately capturing t…
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data
Bernd Flemisch, Jan M. Nordbotten, Martin Fernø +30
Successful deployment of geological carbon storage (GCS) requires an extensive use of reservoir simulators for screening, ranking and optimization of storage sites. However, the ti…
Uncertainty Quantification for Transport in Porous media using Parameterized Physics Informed neural Networks
Cedric Fraces Gasmi, Hamdi Tchelepi
We present a Parametrization of the Physics Informed Neural Network (P-PINN) approach to tackle the problem of uncertainty quantification in reservoir engineering problems. We demo…
Comparison of nonlinear field-split preconditioners for two-phase flow in heterogeneous porous media
Mamadou N'diaye, Francois P. Hamon, Hamdi A. Tchelepi
This work focuses on the development of a two-step field-split nonlinear preconditioner to accelerate the convergence of two-phase flow and transport in heterogeneous porous media.…
Machine Learning in Heterogeneous Porous Materials
Marta D'Elia, Hang Deng, Cedric Fraces +21
The "Workshop on Machine learning in heterogeneous porous materials" brought together international scientific communities of applied mathematics, porous media, and material scienc…
Smooth Implicit Hybrid Upwinding for Compositional Multiphase Flow in Porous Media
Sebastian B. M. Bosma, Francois P. Hamon, Brad T. Mallison +1
In subsurface multiphase flow simulations, poor nonlinear solver performance is a significant runtime sink. The system of fully implicit mass balance equations is highly nonlinear…
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 Informed Deep Learning for Flow and Transport in Porous Media
Cedric Fraces Gasmi, Hamdi Tchelepi
We present our progress on the application of physics informed deep learning to reservoir simulation problems. The model is a neural network that is jointly trained to respect gove…
Embedded Fracture Model for Coupled Flow and Geomechanics
I. Shovkun, T. Garipov, H. A. Tchelepi
Fluid injection and production cause changes in reservoir pressure, which result in deformations in the subsurface. This phenomenon is particularly important in reservoirs with abu…
Second Order Accurate Hierarchical Approximate Factorization of Sparse SPD Matrices
Bazyli Klockiewicz, Léopold Cambier, Ryan Humble +2
We describe a second-order accurate approach to sparsifying the off-diagonal blocks in the hierarchical approximate factorizations of sparse symmetric positive definite matrices. T…
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli +6
We propose MeshfreeFlowNet, a novel deep learning-based super-resolution framework to generate continuous (grid-free) spatio-temporal solutions from the low-resolution inputs. Whil…
Minkowski functionals for phase behavior under confinement
Arnout M P Boelens, Hamdi A Tchelepi
In this work, the Minkowski functionals are used as a framework to study how morphology (i.e. the shape of a structure) and topology (i.e. how different structures are connected) i…
Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem
Cedric G. Fraces, Adrien Papaioannou, Hamdi Tchelepi
We present a new hybrid physics-based machine-learning approach to reservoir modeling. The methodology relies on a series of deep adversarial neural network architecture with physi…
Algebraically stabilized Lagrange multiplier method for frictional contact mechanics with hydraulically active fractures
Andrea Franceschini, Nicola Castelletto, Joshua A. White +1
Accurate numerical simulation of coupled fracture/fault deformation and fluid flow is crucial to the performance and safety assessment of many subsurface systems. In this work, we…
Finite-Volume Simulation of Capillary-Dominated Flow in Matrix-Fracture Systems using Interface Conditions
Ammar Alali, Francois Hamon, Bradley Mallison +1
In numerical simulations of multiphase flow and transport in fractured porous media, the estimation of the hydrocarbon recovery requires accurately predicting the capillary-driven…
A Two-Stage Preconditioner for Multiphase Poromechanics in Reservoir Simulation
Joshua A. White, Nicola Castelletto, Sergey Klevtsov +3
Many applications involving porous media--notably reservoir engineering and geologic applications--involve tight coupling between multiphase fluid flow, transport, and poromechanic…