Computational Geosciences

Papers
(The TQCC of Computational Geosciences is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
PorePy: an open-source software for simulation of multiphysics processes in fractured porous media63
Geological Facies modeling based on progressive growing of generative adversarial networks (GANs)43
Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios40
Rapid estimation of permeability from digital rock using 3D convolutional neural network37
A deep learning approach to the inversion of borehole resistivity measurements37
Optimal feature selection for SAR image classification using biogeography-based optimization (BBO), artificial bee colony (ABC) and support vector machine (SVM): a combined approach of optimization an36
The LBPM software package for simulating multiphase flow on digital images of porous rocks36
Recent developments combining ensemble smoother and deep generative networks for facies history matching30
A deep learning perspective on predicting permeability in porous media from network modeling to direct simulation30
Generative adversarial network as a stochastic subsurface model reconstruction30
Modeling, simulation, and optimization of geothermal energy production from hot sedimentary aquifers28
U-net generative adversarial network for subsurface facies modeling28
Application of an improved P(m)-SOR iteration method for flow in partially saturated soils26
Validation and calibration of coupled porous-medium and free-flow problems using pore-scale resolved models24
Iterative schemes for surfactant transport in porous media24
Investigation of thermal-induced damage in fractured rock mass by coupled FEM-DEM method22
Coupled thermal–hydraulic–mechanical–chemical modeling for permeability evolution of rocks through fracture generation and subsequent sealing22
Deep learning for lithological classification of carbonate rock micro-CT images20
Microscale mechanical modeling of deformable geomaterials with dynamic contacts based on the numerical manifold method20
Phase-field modeling of hydraulic fracture network propagation in poroelastic rocks19
Prediction of gas hydrate saturation using machine learning and optimal set of well-logs17
A staggered finite element procedure for the coupled Stokes-Biot system with fluid entry resistance17
Introduction to the special issue: Overview of OLYMPUS Optimization Benchmark Challenge17
Brittle anisotropic fracture propagation in quartz sandstone: insights from phase-field simulations16
Automatic reconstruction method of 3D geological models based on deep convolutional generative adversarial networks16
A macroelement stabilization for mixed finite element/finite volume discretizations of multiphase poromechanics16
Novel iterative ensemble smoothers derived from a class of generalized cost functions15
Benchmark study for the simulation of Underground Hydrogen Storage operations14
Efficient and data-driven prediction of water breakthrough in subsurface systems using deep long short-term memory machine learning14
Data-space inversion using a recurrent autoencoder for time-series parameterization13
Fully-automated adaptive mesh refinement for media embedding complex heterogeneities: application to poroelastic fluid pressure diffusion13
On multicomponent gas diffusion and coupling concepts for porous media and free flow: a benchmark study12
Modeling interactions of natural and two-phase fluid-filled fracture propagation in porous media12
FDwave3D: a MATLAB solver for the 3D anisotropic wave equation using the finite-difference method12
Accuracy of fully coupled and sequential approaches for modeling hydro- and geomechanical processes12
Consensus optimization of total variation–based reverse time migration12
Reactive transport modeling in heterogeneous porous media with dynamic mesh optimization11
Trajectory prediction based on long short-term memory network and Kalman filter using hurricanes as an example11
Field development optimization using a sequence of surrogate treatments11
A stabilized hybrid mixed finite element method for poroelasticity11
RockGPT: reconstructing three-dimensional digital rocks from single two-dimensional slice with deep learning10
Uncertainty quantification for uranium production in mining exploitation by In Situ Recovery10
Leveraging HPC accelerator architectures with modern techniques — hydrologic modeling on GPUs with ParFlow10
A model for discrete fracture-clay rock interaction incorporating electrostatic effects on transport9
Investigation of thermal-hydro-mechanical coupled fracture propagation considering rock damage9
A novel methodological approach for land subsidence prediction through data assimilation techniques9
Inexact methods for sequential fully implicit (SFI) reservoir simulation9
Block preconditioners for mixed-dimensional discretization of flow in fractured porous media9
Application of arbitrary polynomial chaos (aPC) expansion for global sensitivity analysis of mineral dissolution and precipitation modeling under geologic carbon storage conditions9
Optimization of subsurface CO2 injection based on neural network surrogate modeling9
Mathematical properties of the foam flow in porous media9
A fully-implicit parallel framework for complex reservoir simulation with mimetic finite difference discretization and operator-based linearization8
An efficient parallel algorithm for 3D magnetotelluric modeling with edge-based finite element8
Seismic inversion with deep learning8
Multibody approach for reactive transport modeling in discontinuous-heterogeneous porous media8
A numerical study of the additive Schwarz preconditioned exact Newton method (ASPEN) as a nonlinear preconditioner for immiscible and compositional porous media flow8
Multiphase-field modelling of crack propagation in geological materials and porous media with Drucker-Prager plasticity8
Conditioning generative adversarial networks on nonlinear data for subsurface flow model calibration and uncertainty quantification7
An efficient ensemble Kalman Filter implementation via shrinkage covariance matrix estimation: exploiting prior knowledge7
Improving the computational efficiency of solving multisource 3-D airborne electromagnetic problems in complex geological media7
Finite-volume simulation of capillary-dominated flow in matrix-fracture systems using interface conditions7
Convolutional – recurrent neural network proxy for robust optimization and closed-loop reservoir management7
Modeling cesium migration through Opalinus clay: a benchmark for single- and multi-species sorption-diffusion models7
An enhanced sequential fully implicit scheme for reservoir geomechanics7
Approximate inverse-based block preconditioners in poroelasticity7
Forward modelling of geophysical electromagnetic data on unstructured grids using an adaptive mimetic finite-difference method7
Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation7
Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation6
An optimization approach for flow simulations in poro-fractured media with complex geometries6
Comparison of the response to geometrical complexity of methods for unstationary simulations in discrete fracture networks with conforming, polygonal, and non-matching grids6
Accelerating the multi-parameter least-squares reverse time migration using an appropriate preconditioner6
Well placement optimization using shuffled frog leaping algorithm6
Reconstruction of fluvial reservoirs using multiple-stage concurrent generative adversarial networks6
A pore space reconstruction method of shale based on autoencoders and generative adversarial networks6
Iterative solvers for Biot model under small and large deformations6
Transient drainage volume characterization and flow simulation in reservoir models using the fast marching method6
High performance computing of 3D reactive multiphase flow in porous media: application to geological storage of CO26
Ensemble-based well trajectory and drilling schedule optimization—application to the Olympus benchmark model6
Physics-informed machine learning for backbone identification in discrete fracture networks6
Numerical simulation for a incompressible miscible displacement problem using a reduced-order finite element method based on POD technique6
Iterative geostatistical seismic inversion incorporating local anisotropies6
Predicting plume spreading during CO2 geo-sequestration: benchmarking a new hybrid finite element–finite volume compositional simulator with asynchronous time marching6
Use of low-fidelity models with machine-learning error correction for well placement optimization6
An adaptive moment estimation framework for well placement optimization6
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