Cleat-scale characterisation of coal: An overview
This paper reviews recent developments on the cleat-scale characterisation of coal. Novel
micro-CT imaging and image calibration methods are described. The application of micro …
micro-CT imaging and image calibration methods are described. The application of micro …
Impact of mineralogical heterogeneity on reactive transport modelling
Impact of mineralogical heterogeneity of rocks in reactive modelling is investigated by
applying a pore scale model based on the Lattice Boltzmann and Finite Volume Methods …
applying a pore scale model based on the Lattice Boltzmann and Finite Volume Methods …
3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: A case study in Minjiang Estuary area, southeast China
Multiple-point statistics (MPS) has shown promise in representing complicated subsurface
structures, such as the sedimentary system. The Quaternary sedimentary system possesses …
structures, such as the sedimentary system. The Quaternary sedimentary system possesses …
Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections
Multiple-point statistics (MPS) has shown promise in representing complicated subsurface
structures. For a practical three-dimensional (3-D) application, however, one of the critical …
structures. For a practical three-dimensional (3-D) application, however, one of the critical …
A fully implicit mimetic finite difference scheme for general purpose subsurface reservoir simulation with full tensor permeability
In the previous article Abushaikha et al.(2017)[1], we presented a fully-implicit mixed hybrid
finite element (MHFE) method for general-purpose compositional reservoir simulation. The …
finite element (MHFE) method for general-purpose compositional reservoir simulation. The …
Pore scale characterisation of coal: an unconventional challenge
Coal seam gas is an unconventional resource for natural gas that is becoming popular due
to its environmental benefit and abundance. This paper reviews recent developments on the …
to its environmental benefit and abundance. This paper reviews recent developments on the …
Surface-based geological reservoir modelling using grid-free NURBS curves and surfaces
Building geometrically realistic representations of geological heterogeneity in reservoir
models is a challenging task that is limited by the inflexibility of pre-defined pillar or …
models is a challenging task that is limited by the inflexibility of pre-defined pillar or …
A feature-enhanced MPS approach to reconstruct 3D deposit models using 2D geological cross sections: A case study in the Luodang Cu deposit, Southwestern …
Abstract Three-dimensional (3D) models of orebodies and deposits can provide strong
support for quantitative evaluation of mineral resources. However, 3D modeling of ore …
support for quantitative evaluation of mineral resources. However, 3D modeling of ore …
Machine learning acceleration for nonlinear solvers applied to multiphase porous media flow
A machine learning approach to accelerate convergence of the nonlinear solver in
multiphase flow problems is presented here. The approach dynamically controls an …
multiphase flow problems is presented here. The approach dynamically controls an …
Error estimation of the parametric non-intrusive reduced order model using machine learning
D **ao - Computer Methods in Applied Mechanics and …, 2019 - Elsevier
A novel error estimation method for the parametric non-intrusive reduced order model (P-
NIROM) based on machine learning is presented. This method relies on constructing a set of …
NIROM) based on machine learning is presented. This method relies on constructing a set of …