Parameter Calibration of the Stochastic Bubble Population Balance Model for Predicting NP-stabilized Foam Flow Characteristics in Porous Media

Abstract Stochastic Bubble Population (SBP) balance model has been widely applied on investigation of surfactant foam flow characteristics in porous media, while its application on predict nanoparticle (NP)-stabilized foam behavior has not been well refined. There are two empirical parameters in the SBP model, namely, the bubble generation rate Kg and the maximum bubble density nmax. To qualify the SBP model on prediction of the transient NP-stabilized foam propagation behavior, we make the efforts to calibrate the parameters of Kg and nmax based on the literature reported systematic experimental results. Through five sets of simulations in correspondence to the experimental works, it is found Kg has little effect on the pressure drop along the core, while the nmax increases from 200 mm-3 to 8000 mm-3 with the addition of NPs and the increment of NP concentration. Larger nmax values at higher NP concentrations indicates the foam stabilized by NPs has stronger foam structure and therefore leads to a better displacement result. It is concluded that based on the simple but carefully calibrated parameters, SBP model could provide accurate predictions of NP-stabilized foam flow characteristic in porous media and thus supply potential guidance for foam flooding processes in field applications.