A complete laboratory plan is devised to identify the best surfactant formulation, that is, one that shows low adsorption, good aqueous stability at reservoir conditions, and strong foam stability with variations in foam quality, capillary number, water saturation, and oil saturation. We also evaluated surfactant or formulations for hybrid approach where one can create a foam to control conformance and also alter the wettability of the rock from oil-wet to water-wet to enhance foam transport by changing pore wettability to water-wet. The objective of this work is to generate a laboratory data to estimate parameters of a foam model which can then be used to simulate and predict foam performance in reservoir scale simulations. Such a predictive foam model then can be used to optimize injection strategy for implementing foam technology in the field. In this report we will present the initial phase of the experimental work used in identifying the suitable surfactant.


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