Alternative geostatistics tools applied to Morroa aquifer modeling (Sucre-Colombia)

Autor: Aníbal Pérez-García, Nelson Obregón-Neira, Oscar García-Cabrejo
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Revista Facultad de Ingeniería Universidad de Antioquia, Iss 50 (2013)
Druh dokumentu: article
ISSN: 0120-6230
2422-2844
DOI: 10.17533/udea.redin.14932
Popis: In this paper, stochastic simulations and some multiple-point geostatistical principles are developed using a comparative methodology consisting of two phases. First, a traditional methodology based on variogram concepts called Conditional Stochastic Simulation (CSS) and more specifically the Sequential Indicator Simulation (SISIM) is applied to the aquifer modeling. Secondly, modern algorithm based on multiple-point geostatistics called SNESIM [1] and ζ Model [4] are implemented to integrate information available in the definition of Morroa aquifer facies. The simulations are realized by using algorithms constructed in references [1, 2] and S-Gems software prepared at Stanford University[3]. Results show the convenience of employing training images with soft and hard data conditioning integrated by ζ Model, and CSS for configuring hydrogeological models when barely deficient information is available.
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