In telecommunications, the billing data of each telephone, denoted call detail records
(CDRs), are a large and rich database with information that can be geo-located. By …

Acid stimulation within carbonate rocks represents a crucial aspect of reactive flow
applications in subsurface porous media and has been widely used in carbonate reservoir …

Several applications in geoscience require the generation of multiple realizations of random
fields of physical properties to mimic their spatial distribution and quantify the model …

This paper describes the application of acceleration techniques into existing
implementations of Sequential Gaussian Simulation and Sequential Indicator Simulation …

The Markov chain random field (MCRF) model is a spatial statistical approach for modeling
categorical spatial variables in multiple dimensions. However, this approach tends to be …

The ever-growing size of modern space–time data sets, such as those collected by remote
sensing, requires new techniques for their efficient and automated processing, including gap …

Sequential Simulation is a well known method in geostatistical modelling. Following the
Bayesian approach for simulation of conditionally dependent random events, Sequential …

Classical geostatistical methods are based on the hypothesis of stationarity, which allows to
apply repetitive sampling in different locations of the spatial domain, in order to obtain …

Geostatistical simulation is an effective technique to generate random realizations of
geological models that repli-66 cate the spatial features observed in the experimental data …

Abstract Multiple Random Walk Simulation consists of a methodology adapted to run fast
simulations if close-spaced data are abundant (eg, short-term mining models). Combining …