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Multivariate analysis for the selection of the best production zones of the Santo Tomás Formation, Section 68, Gustavo Galindo Velasco field

Abstract:

In order to have an optimum development of hydrocarbon reservoirs, it is necessary to use a numerical simulation of reservoirs in which a large amount of geological and reservoir parameters are needed; therefore, an adequate record of information is required throughout the life of a field. In brownfields with poor geological characterization and lacking an adequate information record such as the Gustavo Galindo Velasco field, it is difficult to implement a numerical simulation model since its low production does not justify the high execution costs and historical adjustments of a simulation project. Being a highly depleted field, with a history of production of more than a hundred years and with low formation pressures; and considering also the complex geology of the Peninsula of Santa Elena and the lack of information in certain sections of the field; it makes it impossible to carry out common reservoir studies that limit investments for the development of the field. With the limited information available, a multivariable statistical analysis of the Santo Tomás Formation of Section 68 of the Gustavo Galindo Velasco Field is performed by using: Experimental Design (DOE), to determine the most influential factors in the accumulated production and through this way to be able to characterize the zones with greater potential of production; and Multiple Linear Regression, as a method of behavioral analysis accumulated oil production under certain parameters and conditions.