Porous media are ubiquitous in both nature and engineering applications. Therefore, their
modeling and understanding is of vital importance. In contrast to direct acquisition of three …

Highlights•The main core of the algorithm has a totally parallel structure and fully adapted for
GPU.•It has the fastest exhaustive search in the training database in MPS methods.•Our …

In multiple-point simulation the image should be synthesized consistent with the given
training image and hard conditioning data. Existing sequential simulation methods usually …

Multiple-point statistics (MPS) methods have emerged as efficient tools for environmental
modelling, however their efficiency highly depends on the availability of appropriate training …

Porous media are ubiquitous in both nature and engineering applications, thus their
modelling and understanding is of vital importance. In contrast to direct acquisition of three …

Multiple point statistics (MPS) methods are good tools to recreate the spatial heterogeneity
of permeability in porous media. On the other hand, a reliable forecast of reservoir …

Different sources of data are used to construct a reliable model of reservoir for oil/gas
production. This model ought to be matched with the production history of reservoir and also …

In recent years, multiple-point geostatistical (MPS) approaches have gained significant
popularity for modeling subsurface heterogeneity in hydrogeological systems by employing …

In many geoscience applications, the data extracted from environmental variables are very
limited. Multiple-point geostatistical (MPS) approaches simulate these variables and …