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A fully-implicit parallel framework for complex reservoir simulation with mimetic finite difference discretization and operator-based linearization

Computational geosciences, 2022-08, Vol.26 (4), p.915-931

2022

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Multi-objective reservoir production optimization: Minimizing CO2 emissions and maximizing profitability

Geoenergy Science and Engineering, 2025-01, Vol.244, p.213396, Article 213396

2025

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An adaptive moment estimation framework for well placement optimization

Computational geosciences, 2022-08, Vol.26 (4), p.957-973

2022

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Conditioning surface-based geological models to well data using artificial neural networks

Computational geosciences, 2022-08, Vol.26 (4), p.779-802

2022

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A numerical study of the additive Schwarz preconditioned exact Newton method (ASPEN) as a nonlinear preconditioner for immiscible and compositional porous media flow

Computational geosciences, 2022-08, Vol.26 (4), p.1045-1063

2022

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Efficient well placement optimization under uncertainty using a virtual drilling procedure

Computational geosciences, 2022-08, Vol.26 (4), p.739-756

2022

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A robust, multi-solution framework for well placement and control optimization

Computational geosciences, 2022-08, Vol.26 (4), p.897-914

2022

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Distributed quasi-Newton derivative-free optimization method for optimization problems with multiple local optima

Computational geosciences, 2022-08, Vol.26 (4), p.847-863

2022

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Multiscale matrix-fracture transfer functions for naturally fractured reservoirs using an analytical, infinite conductivity, discrete fracture model

Computational geosciences, 2022-08, Vol.26 (4), p.1011-1028

2022

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The use of flow diagnostics to rank model ensembles

Computational geosciences, 2022-08, Vol.26 (4), p.803-822

2022

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Efficient adjoint-based well-placement optimization using flow diagnostics proxies

Computational geosciences, 2022-08, Vol.26 (4), p.883-896

2022

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Convergence of single rate and multirate undrained split iterative schemes for a fractured biot model

Computational geosciences, 2022-08, Vol.26 (4), p.975-994

2022

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Application of diffuse source basis functions for improved near well upscaling

Computational geosciences, 2022-08, Vol.26 (4), p.823-846

2022

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Physics-constrained deep learning forecasting: an application with capacitance resistive model

Computational geosciences, 2022-08, Vol.26 (4), p.1065-1100

2022

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Huff-n-Puff (HNP) design for shale reservoirs using local dual-porosity, dual-permeability compositional simulation

Computational geosciences, 2022-08, Vol.26 (4), p.933-955

2022

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Numerical effects on the simulation of surfactant flooding for enhanced oil recovery

Computational geosciences, 2022-08, Vol.26 (4), p.865-881

2022

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Inclusion of variable characteristic length in microemulsion flash calculations

Computational geosciences, 2022-08, Vol.26 (4), p.995-1010

2022

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Compositional effects in thermal, compositional and reactive simulation

Computational geosciences, 2022-08, Vol.26 (4), p.727-738

2022

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Special issue: selected contributions from the 17th European Conference on the Mathematics of Oil Recovery (ECMOR XVII)

Computational geosciences, 2022-08, Vol.26 (4), p.725-725

2022

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A multi-timestep Dirichlet-Neumann domain decomposition method applied to the polymer injection in porous media

Computational geosciences, 2022-08, Vol.26 (4), p.757-778

2022

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Recent developments in object modelling opens new era for characterization of fluvial reservoirs

First break, 2018-06, Vol.36 (6), p.85-89

2018

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Evergreen workflows that capture uncertainty – the benefits of an unlocked structure

First break, 2015-10, Vol.33 (10)

2015

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Uncertainty in subsurface interpretation: a new workflow

First break, 2013-09, Vol.31 (9)

2013

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Sedimentological parameterization of shallow-marine reservoirs

Petroleum geoscience, 2008-02, Vol.14 (1), p.17-34

2008

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Fault facies modeling: Technique and approach for 3-D conditioning and modeling of faulted grids

AAPG bulletin, 2008-11, Vol.92 (11), p.1457-1478

2008

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A fully-implicit parallel framework for complex reservoir simulation with mimetic finite difference discretization and operator-based linearization

Multi-objective reservoir production optimization: Minimizing CO2 emissions and maximizing profitability

An adaptive moment estimation framework for well placement optimization

Conditioning surface-based geological models to well data using artificial neural networks

A numerical study of the additive Schwarz preconditioned exact Newton method (ASPEN) as a nonlinear preconditioner for immiscible and compositional porous media flow

Efficient well placement optimization under uncertainty using a virtual drilling procedure

A robust, multi-solution framework for well placement and control optimization

Distributed quasi-Newton derivative-free optimization method for optimization problems with multiple local optima

Multiscale matrix-fracture transfer functions for naturally fractured reservoirs using an analytical, infinite conductivity, discrete fracture model

The use of flow diagnostics to rank model ensembles

Efficient adjoint-based well-placement optimization using flow diagnostics proxies

Convergence of single rate and multirate undrained split iterative schemes for a fractured biot model

Application of diffuse source basis functions for improved near well upscaling

Physics-constrained deep learning forecasting: an application with capacitance resistive model

Huff-n-Puff (HNP) design for shale reservoirs using local dual-porosity, dual-permeability compositional simulation

Numerical effects on the simulation of surfactant flooding for enhanced oil recovery

Inclusion of variable characteristic length in microemulsion flash calculations

Compositional effects in thermal, compositional and reactive simulation

Special issue: selected contributions from the 17th European Conference on the Mathematics of Oil Recovery (ECMOR XVII)

A multi-timestep Dirichlet-Neumann domain decomposition method applied to the polymer injection in porous media

Recent developments in object modelling opens new era for characterization of fluvial reservoirs

Evergreen workflows that capture uncertainty – the benefits of an unlocked structure

Uncertainty in subsurface interpretation: a new workflow

Sedimentological parameterization of shallow-marine reservoirs

Fault facies modeling: Technique and approach for 3-D conditioning and modeling of faulted grids

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