Multivariate Statistical Analysis Application of the Static Reservoir Characterization

This is a study is focused in Tetuan Formation at Tenay Field, Upper Magdalena Valley basin, Colombia, in claystone-mudstone-wackestone hydrocarbon reservoir. Statistical models were established to estimate facies variables and intensity of fractures, which need to be carried to places where the cores have not been taken. This was addressed by a discriminant analysis that includes the calculation of canonical discrimination functions of intergroup separation and centroids identification for each facies. The discriminant analysis explains about 86.96% claystone, 100% marlstone, 83.33% carbonaceous marlstone, 100% wackestone and 60% mudstone facies. The discriminant analysis establish the number of fractures that antracking curvature 3D seismic attributes are able to recognize. This evaluation was done by the measurement of distance between centroids. Fracture densities below six fractures per feet. Finally, taking in count the extrapolated lithotypes from trained 14 wells and 3D acoustic impedance cubes in a in two phases clusters statistical model, which identifies three clusters. The first represents the low limestone rocks, the second represents intermediate limestone content and the third represents a high limestone. This estimated distribution of calcareous rocks and intensity of fractures strengthened the geostatistical model of the reservoir.