In this article objective have been made to reviews different geostatistical methods available to estimate and simulate petrophysical properties (porosity and permeability) of the reservoir. Different geostatistical techniques that allow the combination of hard and soft data are taken into account and one refers the main reason to use the geostatistical simulation rather than estimation. Uncert...

This paper introduces the gstat package for the S language (R, S-PLUS). The package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. Gstat (http://www. gstat.org) was started 10 years ago and was released under the GPL in 1996; it is closely linked to several GIS systems. It was not initially written for teaching purposes, b...

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t744347545 Geostatistics for automatic estimation of environmental variables-some simple solutions J. O. Skøien a; E. J. Pebesma b; G. Blöschl c a Department of Physical Geography, Un...

Predicting the spatial distribution of braided fluvial facies reservoirs is paramount significance for oil and gas exploration development. Given that seismic materials enjoy an advantage in dense sampling, many methods have been proposed to predict reservoir based on different attributes. Nevertheless, attributes sensitivities reservoirs, informational redundancy between them makes it difficul...

Interpolation of spatial data is a very general mathematical problem with various applications. In geostatistics, it is assumed that the underlying structure of the data is a stochastic process which leads to an interpolation procedure known as kriging. This method is mathematically equivalent to kernel interpolation, a method used in numerical analysis for the same problem, but derived under c...

Traditionally phenology studies have been focused on changes through time, but there exist many instances in ecological research where it is necessary to interpolate among spatially stratified samples. The combined use of Geographical Information Systems (GIS) and Geostatistics can be an essential tool for spatial analysis in phenological studies. Geostatistics are a family of statistics that d...

With the increase in size and complexity of spatiotemporal data, traditional methods for performing statistical analysis are insufficient for meeting real-time requirements for mining information from Big Data, due to both dataand computing-intensive factors. To solve the Big Data challenges in geostatistics and to support decision-making, a high performance, spatiotemporal statistical analysis...

There are numerous methods for data fillingin hydrology. Most, however, are based oncorrelations with nearby stations in a generalscheme of regionalization. These methods,though robust, fail to function when andwhere all the near stations are missed-datatoo. The Mashhad synoptic station has annualrainfall data over a 50 year period from 1951to 2000 and historic rainfall data from 1893 to1940, j...