Hydrodynamic modeling of laboratory experiments related to oil displacement with thermopolymer solution

Abstract

Microscaled modeling of laboratory experiments, which needs adaptation a number of parameters of numerical model of a composite kern building, uses for the applying results of flowing laboratory experiments in sector and full hydrodynamic models of occurrences. Adaptation of parameters of numerical kern model shall be carried out at reproduction measured variables of flowing experiments. Moreover, there are uncertainties of filtration and capacitance properties related to heterogeneity of kern samples and instability of heated polymer’ displacement front. Iteration algorithm is developed and implemented in this article. Algorithm provides adapting of series synthetic hydrodynamic models of laboratory experiments. At the first adapting step the whole range of uncertainties of a series of laboratory experiments is taken into account. Minimization of number of variable parameters and model’ adaptation error realizes on all iteration steps. To increase the reliability of adaptation, the spectrum of 1D models is supplements with synthetic 3D models with stochastic distribution of heterogeneity in porosity and permeability. This process allows take processes of filtration in polymer adsorption conditions and heterogeneity of collector properties into account more fully while modeling. In addition, it can help to specify variable parameters with scaling on different numerical grids. Developed algorithm tested on heated polymer’ displacement experiments, determination of the relative phase permeability as a function of temperature. Decreased uncertainties of variable parameters, which are relative phase permeability as a function of concentration of polymer solution, residual resistance factor, dependence of the viscosity of the polymer solution on the shear rate, is the results of method’s application. Then these results transfers to the adaptation process of sector and full hydrodynamic models.