مخزن مطالعه شبیه سازی عددی بر اساس پارامترهای تشکیل زمان تغییر

A novel simulation function is added into a reservoir simulator to consider the reservoir parameters’ variation by defining the variation pattern of reservoir porosity, permeability and relative permeability in water flooding. It indicates that considering the variation of porosity and permeability causes the increase of reservoir heterogeneity and thus the decrease of predicted oil recovery. In actual reservoir development, the influence of permeability's variation on oilfield development rules is stronger than that of porosity.

After long-term, especially the late high-strength water flooding, many reservoir parameters have changed. The time-variability of reservoir parameters has a great impact on the oilfield development rules [1-2]. However, the simulators commonly used had no description about the variation of reservoir parameters, which may caused certain deviations to the reservoir dynamic analysis. Therefore, a reservoir simulator is improved by adding the simulation function of considering the porosity and permeability’s time-variability during water flooding in this paper, based on which reservoir parameters’ influence on oilfield development rules is discussed.

(1) Based on the mathematical model of oil-water two-phase flow, the current reservoir simulator is improved by defining the variation patterns of reservoir parameters such as porosity and permeability in water flooding, which provides effective simulation means to study reservoir parameters’ time-variability in the development of oilfield. (2) Studies on the influence of reservoir parameters’ variation to development rules show that when considering the variation of porosity and permeability, the degree of reservoir’s heterogeneity increases,and the recovery prediction of reservoir drops, among which the influence of permeability is larger and the largest decrease of recovery prediction is 1%~3%, however, the influence of porosity is relatively small and the decrease of recovery prediction is less than 0.5%.