Computational Geosciences

Papers
(The TQCC of Computational Geosciences is 5. 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 2021-07-01 to 2025-07-01.)
ArticleCitations
Domain decomposition and partitioning methods for mixed finite element discretizations of the Biot system of poroelasticity39
Local and global timeseries proxies using functional principal component analysis: application to history-matching and uncertainty quantification33
A natural Hessian approximation for ensemble based optimization32
A one-dimensional local discontinuous Galerkin Richards’ equation solution with dual-time stepping29
A mineral precipitation model based on the volume of fluid method24
Determination of Two-phase Relative Permeability from a Displacement with Safman-Rayleigh Instability Using a Coarse-Scale Model History Matching Approach24
Bayesian model evaluation for multiple scenarios23
Huff-n-Puff (HNP) design for shale reservoirs using local dual-porosity, dual-permeability compositional simulation20
Deep learning-aided image-oriented history matching of geophysical data19
A 3D organized point cloud clustering algorithm for seismic fault data based on region growth18
Data-driven modelling with coarse-grid network models18
Analysis of the hyperparameter optimisation of four machine learning satellite imagery classification methods17
Accelerated reactive transport simulations in heterogeneous porous media using Reaktoro and Firedrake17
Competitive algorithm to balance and predict blasting outcomes using measured field data sets17
A novel hierarchical model calibration method for deep water reservoirs under depletion and aquifer influence16
Unsupervised segmentation for sandstone thin section image analysis16
Ensemble-based history matching of the Edvard Grieg field using 4D seismic data16
Generating subsurface earth models using discrete representation learning and deep autoregressive network14
Adaptive generalized multiscale approximation of a mixed finite element method with velocity elimination14
Benchmark study for the simulation of Underground Hydrogen Storage operations13
Frequency-domain vector finite element forward modeling of 3D GPR data using exact PML absorbing boundary conditions12
A new method based on multiresolution graph-based clustering for lithofacies analysis of well logging12
Acknowledgement for reviewers for 202112
A preliminary model for optimal control of moisture content in unsaturated soils11
Application of diffuse source basis functions for improved near well upscaling11
Conditioning geological surfaces to horizontal wells11
Ensemble-regularized Kernel density estimation with applications to the ensemble Gaussian mixture filter11
A surrogate-assisted uncertainty-aware Bayesian validation framework and its application to coupling free flow and porous-medium flow10
The effects of dispersion and non-linearity on the simulation of landslide-generated waves using the reduced two-layer non-hydrostatic model10
Capillary hysteresis and gravity segregation in two phase flow through porous media10
Multiscale matrix-fracture transfer functions for naturally fractured reservoirs using an analytical, infinite conductivity, discrete fracture model9
Special issue: selected contributions from the 18th European Conference on the Mathematics of Geological Reservoirs (ECMOR 2022)9
An active learning approach for improving the performance of equilibrium based chemical simulations9
Traveling wave solutions describing the foam flow in porous media for low surfactant concentration9
Efficient well placement optimization under uncertainty using a virtual drilling procedure9
Adaptive regularization for the Richards equation8
Application of machine learning to characterize gas hydrate reservoirs in Mackenzie Delta (Canada) and on the Alaska north slope (USA)8
Determining optimal controls placed on injection/production wells during waterflooding in heterogeneous oil reservoirs using artificial neural network models and multi-objective genetic algorithm8
Spectral-element modeling of the time-domain electromagnetic field in 3D geophysical anisotropic media8
An integrated approach to derive relative permeability from capillary pressure7
Stochastic reconstruction of shale combining multi-scale generators and discriminators with attention mechanisms7
Consistent prediction of well paths and geological surfaces7
Nonlinear domain-decomposition preconditioning for robust and efficient field-scale simulation of subsurface flow7
A fully-implicit parallel framework for complex reservoir simulation with mimetic finite difference discretization and operator-based linearization7
An intelligent multi-fidelity surrogate-assisted multi-objective reservoir production optimization method based on transfer stacking7
Stochastic reconstruction of porous media based on attention mechanisms and multi-stage generative adversarial network7
A hybrid stability analysis bypassing method for compositional simulation7
A 2D numerical model for simulation of cohesive sediment transport7
A spatio-temporal process visualization approach for wind features7
An integrated framework for optimal monitoring and history matching in CO$$_{2}$$ storage projects7
Correction to: Sequential fully implicit newton method for flow and transport with natural black-oil formulation7
Gas-oil gravity drainage mechanism in fractured oil reservoirs: surrogate model development and sensitivity analysis7
Efficient multi-scale image reconstruction of heterogeneous rocks with unresolved porosity using octree structures6
Sparrow search algorithm-driven clustering analysis of rock mass discontinuity sets6
A machine-learning-accelerated distributed LBFGS method for field development optimization: algorithm, validation, and applications6
Improved spatial understanding of induced seismicity hazard from the discretization of a curved fault surface6
Derivative-free search approaches for optimization of well inflow control valves and controls6
A post-processing solution to restore numerical consistency for classical flow routing algorithms6
Towards HPC simulations of billion-cell reservoirs by multiscale mixed methods6
Multi-objective optimization of subsurface $$\text {CO}_{2}$$ capture, utilization, and storage using sequential quadratic programming with stochastic gradients6
Correction to: A spatio-temporal process visualization approach for wind features6
The method of forced probabilities: a computation trick for Bayesian model evidence6
3D reconstruction of porous media using a batch normalized variational auto-encoder6
Automatic reconstruction method of 3D geological models based on deep convolutional generative adversarial networks6
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models6
A novel prediction method for coalbed methane production capacity combined extreme gradient boosting with bayesian optimization6
A virtual element method for the two-phase flow of immiscible fluids in porous media6
Probability elicitation using geostatistics in hydrocarbon exploration5
Stochastic pix2vid: A new spatiotemporal deep learning method for image-to-video synthesis in geologic CO$$_2$$ storage prediction5
Contact algorithm of the material point method and comparison with the finite element method5
Analysis of earthquake hypocenter characteristics using chaos game representation5
Two-phase flow in heterogeneous porous media based on Brinkman and Darcy models5
Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother5
An enhanced V-cycle MgNet model for operator learning in numerical partial differential equations5
Influence of fluid dynamics on flow and transport in natural fracture networks5
Three-dimensional numerical simulation of hydraulically driven cohesive fracture propagation in deformable reservoir rock using enriched EFG method5
Three-dimensional numerical modeling of natural convection in underground cavities connected to the surface by a well5
Downscaling using CDAnet under observational and model noise: the Rayleigh-Bénard convection paradigm5
Neural networks for source mechanism inversion from surface microseismic data5
Convergence of single rate and multirate undrained split iterative schemes for a fractured biot model5
Application of supervised machine learning to assess and manage fluid-injection-induced seismicity hazards based on the Montney region of northeastern British Columbia5
A new finite volume scheme with gradient transfer method for solving diffusion problems on the distorted hexahedral meshes5
On several numerical strategies to solve Richards’ equation in heterogeneous media with finite volumes5
Impact of geostatistical nonstationarity on convolutional neural network predictions5
0.045285940170288