An efficient response surface approach for the optimization of ASP flooding processes

the eor method so called alkaline-surfactant-polymer (asp) flooding has proved to be effective in reducing the oil residual saturation in laboratory experiments and field projects through the reduction of interfacial tension and mobility ratio between oil and water phases. two issues are critical for a successful asp flooding project: i) addressing issues related to optimization of the laboratory design, and ii) establishing an optimal injection scheme for the field scale flooding process. this paper presents an efficient solution approach for the latter issue. the approach is based on the construction of quadratic response surface models (surrogates) of reservoir simulator outputs and three-level d-optimal design of experiments. it allows to effectively and efficiently establish the optimum asp injection scheme, and was applied to determine the optimal values of injection rates, slug size and initial date for injection of an case study at pilot project level. the optimum injection scheme resulted in substantial savings in chemicals used when compared to the laboratory design.