Works matching IS 14200597 AND DT 2018 AND VI 22 AND IP 3
Results: 18
Hybrid three-scale model for evolving pore-scale geometries.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 925, doi. 10.1007/s10596-018-9733-9
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Feasibility of CO<sub>2</sub> migration detection using pressure and CO<sub>2</sub> saturation monitoring above an imperfect primary seal of a geologic CO<sub>2</sub> storage formation: a numerical investigation.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 909, doi. 10.1007/s10596-018-9732-x
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Analysis of iterative ensemble smoothers for solving inverse problems.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 885, doi. 10.1007/s10596-018-9731-y
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A novel efficient inversion method for three-dimensional NMR and the optimization of activation sequences and acquisition parameters.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 867, doi. 10.1007/s10596-018-9730-z
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A method of alternating characteristics with application to advection-dominated environmental systems.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 851, doi. 10.1007/s10596-018-9729-5
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- Article
Optimal design of hydraulic fracturing in porous media using the phase field fracture model coupled with genetic algorithm.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 833, doi. 10.1007/s10596-018-9728-6
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A distributed parallel multiple-relaxation-time lattice Boltzmann method on general-purpose graphics processing units for the rapid and scalable computation of absolute permeability from high-resolution 3D micro-CT images.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 815, doi. 10.1007/s10596-018-9727-7
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Comparing multi-objective optimization techniques to calibrate a conceptual hydrological model using in situ runoff and daily GRACE data.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 789, doi. 10.1007/s10596-018-9726-8
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Cache-efficient parallel eikonal solver for multicore CPUs.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 775, doi. 10.1007/s10596-018-9725-9
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Well-balanced central WENO schemes for the sediment transport model in shallow water.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 763, doi. 10.1007/s10596-018-9724-x
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Waterflooding optimization with the INSIM-FT data-driven model.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 745, doi. 10.1007/s10596-018-9723-y
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- Article
Modeling semi-steady state near-well flow performance for horizontal wells in anisotropic reservoirs.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 725, doi. 10.1007/s10596-018-9722-z
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- Article
Analytical solution of polymer slug injection with viscous fingering.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 711, doi. 10.1007/s10596-018-9721-0
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Machine learning for graph-based representations of three-dimensional discrete fracture networks.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 695, doi. 10.1007/s10596-018-9720-1
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Constraint energy minimizing generalized multiscale finite element method in the mixed formulation.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 677, doi. 10.1007/s10596-018-9719-7
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Groundwater management using a new coupled model of meshless local Petrov-Galerkin method and modified artificial bee colony algorithm.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 657, doi. 10.1007/s10596-018-9718-8
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A fully implicit and consistent finite element framework for modeling reservoir compaction with large deformation and nonlinear flow model. Part II: verification and numerical example.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 639, doi. 10.1007/s10596-017-9716-2
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A fully implicit and consistent finite element framework for modeling reservoir compaction with large deformation and nonlinear flow model. Part I: theory and formulation.
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- Computational Geosciences, 2018, v. 22, n. 3, p. 623, doi. 10.1007/s10596-017-9715-3
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- Article