The Use of capacitance-resistive models for estimation of interwell connectivity & heterogeneity in a waterflooded reservoir: a case study

Gözel, Mustafa Erkin
Increasing the oil recovery from the hydrocarbon reservoirs is becoming the most important issue for the oil & gas industry with the increase in energy demand and developing technologies. Waterflooding is one of the most preferable methods because of its success ratio, application ease and cost efficiency. Beside mentioned advantages, this method must be carefully planned and performed by considering reservoir heterogeneities to avoid unexpected poor recoveries. As an alternative to the reservoir modeling and simulation studies, Capacitance-Resistive Model (CRM) has been developed which uses non-linear signal processing method and needs only production, injection and pressure data to characterize the interwell connectivities between injectors and producers. Fluid storage and connectivity coefficients, which correspond to capacitance and resistance respectively in an electrical circuit, are used in this model to convert injection signals to production responses and honor the material balance in the hydrocarbon systems. In the light of these studies, a waterflooded carbonate reservoir has been studied to depict the connectivity between wells. Results have been checked with the initial water breakthroughs and reservoir properties which came up in a good agreement. Oil production history match has been performed by using oil fractional flow model which relates total liquid and oil rates. Finally, future prediction studies have been conducted for optimization of the rates to achieve project objectives. The results showed that CRM could be used for history matching and optimization in this carbonate reservoir and resulted in a significant change in project economics.


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Citation Formats
M. E. Gözel, “The Use of capacitance-resistive models for estimation of interwell connectivity & heterogeneity in a waterflooded reservoir: a case study,” M.S. - Master of Science, Middle East Technical University, 2015.