A Reactive Transport Framework for Analyzing Core Flooding Data

Modified salinity water flooding has been successfully used to improve oil recovery in chalk formations over the past decades in the form of seawater injection. Predicting the potential of this technique in the field is limited to analyzing the results of simulators with simplified models and parameters that are obtained from a limited number of experiments. In this work, we develop a framework that will tackle this issue in two steps; first, we add to the transport model the chemical reactions that triggers the mechanisms; then, we simultaneously fit the model to a set of data from core flooding experiments. To address the issue of having several unknown parameters, we attempt to fit a set of core flooding (spontaneous and forced imbibition) experiments with the measurement of ionic concentration of the effluent brine and find optimized parameters for the oil and water relative permeability and capillary pressure.