A common problem in geostatistics is to interpolate a variable at unsampled locations using
available data. Kriging has been the conventional method of solving this problem by …

A new methodology for the simulation of spatially distributed petrophysical properties
conditioned by elastic attributes as secondary variables is presented. The method, namely …

In many naturally fractured reservoirs, fractures play a crucial role in their flow and transport
properties. An approach that has recently gained popularity for modeling fracture systems is …

The spatial stochastic co-simulation method based on copulas is a general method that
allows simulating variables with any type of dependency and probability distribution …

Failure accidents of casings, designed obeying traditional design standards that have been
amended for many times, are still happening nowadays, and existing reliability analysis …

In this paper, a multipurpose Bayesian-based method for data analysis, causal inference
and prediction in the sphere of oil and gas reservoir development is considered. This allows …

A novel Bernstein copula-based spatial stochastic co-simulation (BCSCS) method for
petrophysical properties using seismic attributes as a secondary variable is presented. The …

Kriging weights are calculated regarding the sample distances from the estimation point
without attention to the sample values. This problem of kriging shows the necessity of …

Los acuíferos subterráneos son la única fuente de agua dulce disponible en la península de
Yucatán. Sin embargo, la falta de información de sus propiedades, principalmente de la …

In this paper, the authors investigated the approach of Bayesian networks to the analysis of
parameters of oil and gas fields. The study of existing approaches and methods of …