Análisis multivariable para la selección de las mejores zonas productivas de la formación Santo Tomás, sección 68, campo Gustavo Galindo Velasco

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 Tomas 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.