Control-volume distributed multi-point flux approximation coupled with a lower-dimensional fracture model R Ahmed, MG Edwards, S Lamine, BAH Huisman, M Pal Journal of Computational Physics 284, 462-489, 2015 | 135 | 2015 |
Convergence study of a family of flux‐continuous, finite‐volume schemes for the general tensor pressure equation M Pal, MG Edwards, AR Lamb International journal for numerical methods in fluids 51 (9‐10), 1177-1203, 2006 | 88 | 2006 |
Three-dimensional control-volume distributed multi-point flux approximation coupled with a lower-dimensional surface fracture model R Ahmed, MG Edwards, S Lamine, BAH Huisman, M Pal Journal of Computational Physics 303, 470-497, 2015 | 63 | 2015 |
A multiscale adaptive local-global method for modeling flow in stratigraphically complex reservoirs FO Alpak, M Pal, KA Lie SPE Journal 17 (04), 1056-1070, 2012 | 58 | 2012 |
Improving reservoir models of Cretaceous carbonates with digital outcrop modelling (Jabal Madmar, Oman): Static modelling and simulating clinoforms EW Adams, C Grélaud, M Pal, AÉ Csoma, OS Al Ja'aidi, RA Hinai EAGE/Geological Society of London 17 (3), 309-332, 2011 | 39 | 2011 |
On the Stokes-Brinkman equations for modeling flow in carbonate reservoirs I Ligaarden, M Krotkiewski, KA Lie, M Pal, D Schmid ECMOR XII-12th European Conference on the Mathematics of Oil Recovery, cp …, 2010 | 36 | 2010 |
Quasimonotonic continuous darcy-flux approximation for general 3d grids of any element type M Pal, MG Edwards SPE Reservoir Simulation Conference?, SPE-106486-MS, 2007 | 35 | 2007 |
Positive‐definite q‐families of continuous subcell Darcy‐flux CVD(MPFA) finite‐volume schemes and the mixed finite element method MG Edwards, M Pal International journal for numerical methods in fluids 57 (4), 355-387, 2008 | 31 | 2008 |
CVD-MPFA full pressure support, coupled unstructured discrete fracture–matrix Darcy-flux approximations R Ahmed, MG Edwards, S Lamine, BAH Huisman, M Pal Journal of Computational Physics 349, 265-299, 2017 | 29 | 2017 |
q-families of CVD (MPFA) schemes on general elements: Numerical convergence and the maximum principle M Pal, MG Edwards Archives of Computational Methods in Engineering 17, 137-189, 2010 | 24 | 2010 |
Multiscale finite-volume CVD-MPFA formulations on structured and unstructured grids E Parramore, MG Edwards, M Pal, S Lamine Multiscale Modeling & Simulation 14 (2), 559-594, 2016 | 23 | 2016 |
Non‐linear flux‐splitting schemes with imposed discrete maximum principle for elliptic equations with highly anisotropic coefficients M Pal, MG Edwards International journal for numerical methods in fluids 66 (3), 299-323, 2011 | 23 | 2011 |
Validation of the multiscale mixed finite‐element method M Pal, S Lamine, KA Lie, S Krogstad International Journal for Numerical Methods in Fluids 77 (4), 206-223, 2015 | 22 | 2015 |
A family of multi‐point flux approximation schemes for general element types in two and three dimensions with convergence performance M Pal, MG Edwards International journal for numerical methods in fluids 69 (11), 1797-1817, 2012 | 21 | 2012 |
Flux-splitting schemes for improved monotonicity of discrete solutions of elliptic equations with highly anisotropic coefficients M Pal, MG Edwards ECCOMAS CFD 2006: Proceedings of the European Conference on Computational …, 2006 | 20 | 2006 |
A unified approach to simulation and upscaling of single‐phase flow through vuggy carbonates M Pal International journal for numerical methods in fluids 69 (6), 1096-1123, 2012 | 19 | 2012 |
Estimation of local equilibrium model parameters for simulation of the laboratory foam-enhanced oil recovery process using a commercial reservoir simulator L Ding, L Cui, S Jouenne, O Gharbi, M Pal, H Bertin, MA Rahman, ... ACS omega 5 (36), 23437-23449, 2020 | 15 | 2020 |
Continuous elliptic and multi-dimensional hyperbolic Darcy-flux finite-volume methods MG Edwards, H Zheng, S Lamine, M Pal Computers & fluids 46 (1), 12-22, 2011 | 15 | 2011 |
An overview of challenges associated with automatic detection of concrete cracks in the presence of shadows M Pal, P Palevičius, M Landauskas, U Orinaitė, I Timofejeva, M Ragulskis Applied Sciences 11 (23), 11396, 2021 | 14 | 2021 |
On application of machine learning method for history matching and forecasting of times series data from hydrocarbon recovery process using water flooding M Pal Petroleum Science and Technology 39 (15-16), 519-549, 2021 | 14 | 2021 |