Geostatistical modeling of porosity for CO₂ storage assessment in a reservoir

Abstract

This study presents a geostatistical analysis of porosity in a reservoir, aiming to understand its spatial distribution within the study area and to evaluate its potential for CO₂ storage applications. Descrip- tive statistical analysis and histograms were used to assess the characteristics of data distribution and their suitability for geostatistical modeling. An experimental variogram was constructed and fitted with a spherical theoretical model to describe the spatial correlation structure. Ordinary kriging was applied to estimate porosity and to generate spatial distribution maps, while kriging variance and Gaussian sequen- tial simulation were used to evaluate spatial uncertainty. The resulting porosity model was subsequently employed to simulate CO₂ storage under different injection configurations over a three-year period. The results indicate a well-defined spatial correlation structure, reliable porosity estimation, and a meaningful uncertainty analysis, providing a solid basis for reservoir evaluation and the feasibility of CO₂ storage.