Sentence examples for multiple point geostatistics from inspiring English sources

This study presents an application of a multiple point geostatistics (MPS) to map landforms.

In contrast, multiple point geostatistics can describe almost any kind of shape using the empirical probability distribution derived from a training image.

The synthetic results showed that only for a much larger number of conditioning piezometric heads, multiple point geostatistics and ERT could improve aquifer characterization.

Multiple point geostatistics and NS-EnKF have already been tested in synthetic examples, but in this study they are used for the first time in a real-world case study.

Results from the study show that the inversion based on multiple point geostatistics does not outperform the one with a multiGaussian model and that the information from the ERT images did not improve site characterization.

We employ multiple-point geostatistics to characterize the hydrofacies architecture.

Multiple-point geostatistics can use these process-based models as training images and address the data conditioning problem.

To overcome the problems inherent to the two-point statistics, the issue of multiple-point geostatistics was introduced by Deutsch (1992) and Guardiano and Srivastava (1993).

To determine (1) whether this large-scale anisotropy can be the result of fine-scale clay drapes and (2) whether application of multiple-point geostatistics can improve interpretation of pumping tests, this pumping test is analyzed with a local 3D groundwater model in which fine-scale sedimentary heterogeneity is modelled using multiple-point geostatistics.

In order to further extend the existing gradient-based history matching techniques to deal with complex geological models characterized by multiple-point geostatistics, Sarma et al. (2007) applied a kernel principal component analysis method to model permeability fields.

First, an integrating workflow of multiple-point geostatistics (MPS) and Sequential Gaussian Simulation (SGSIM) was adopted for the lithological and petrophysical modeling to capture the fluvial depositional environment and preserve the reservoir heterogeneity, respectively.