Ž . Using spatial simulated annealing SSA , spatial sampling schemes can be optimised for minimal kriging variance. Two optimisation criteria are presented in this paper. The first criterion minimises the average kriging variance, the second the maximum kriging variance. In a simple case with 23 observations, performances of a sampling scheme obtained with SSA were compared with performances of...

While outcrop models can provide important information on reservoir architecture and heterogeneity, it is not entirely clear how such information can be used exhaustively in geostatistical reservoir modeling. Traditional, variogram-based geostatistics is inadequate in that regard since the variogram is too limiting in capturing geological heterogeneity from outcrops. A new field, termed multipl...

A~traet--A self-contained presentation of the interpolation We consider a 2-D RF Z(x, y) over a domain problem in two-dimensional spatial random fields is given. We ~: (x, y) e f2 ___ R z, and we assume that a realization investigate the case where the random field is not necessarily stationary, where the data are so scarce and so scattered in space of this RF is available in the form of a that...

In this paper catchments are conceptualised as linear space-time filters. Catchment area A is interpreted as the spatial support and the catchment response time T is interpreted as the temporal support of the runoff measurements. These two supports are related by T∼A which embodies the space-time connections of the rainfall-runoff process from a geostatistical perspective. To test the framework...

We present a Bayesian inversion method for the joint inference of high-dimensional multiGaussian hydraulic conductivity fields and associated geostatistical parameters from indirect hydrological data. We combine Gaussian process generation via circulant embedding to decouple the variogram from grid cell specific values, with dimensionality reduction by interpolation to enable Markov chain Monte...

So far, the pseudo cross-variogram is primarily used as a tool for structural analysis of multivariate random fields. Mainly applying recent theoretical results on cross-variogram, we use it cornerstone in construction valid covariance models In particular, extend known univariate constructions to case, and generalize existing models. Furthermore, provide general principle conditionally negativ...

Geographic Information Systems (GIS) provide a good framework for solving classical problems in the earth sciences and engineering. This thesis describes the geostatistics associated with creating a geological model of the Abacherli reservoir within the Mahala oil field of the Los Angeles Basin of Southern California using a variogram-based two-point geostatistical approach. The geology of this...

The area of land consolidation projects are generally small, so remote sensing images used in land cover classification are generally of high resolution. The spectral characteristics of the high-resolution remote sensing data are unstable, while the texture feature is prominent. In view of this issue, this paper study the spatial relation between the adjacent pixels in the remote sensing image,...