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Simulation of Silica Nanoparticle Flooding for Enhancing Oil Recovery

Obtaining accurate relative permeability curves from coreflood experiments is imperative for characterizing a reservoir and estimating its production capability. As the relative permeabilities are not directly measurable, they are inferred from the measured data utilizing some mathematical model of the physical process. This procedure is referred to as inverse modelling. The inverse problem is to obtain estimates of the relative permeability functions using the data measured during displacement experiments. It concerns on the unsteady state relative permeabilities that are obtained from waterflood and suspension of silica nanoparticle flood experiments. For each experiment, recovery and pressure drop data were collected and used in a coreflood simulator. The coreflood simulator used in this study is the Sendra. As the relative permeability is a function of saturation, the authors required the estimates of the entire function. The results show that it is possible to determine one set of relative permeability curves that reconcile several nanosilica flooding experiments simultaneously using the history match method.