Modeling and Simulation of permeability ratio reduction due to bio-clogging in the porous media

In recent years the microbial enhanced oil recovery method has found certain popularity amongtertiary enhanced oil recovery methods. This method is based on the activities of various types ofmicro-organisms in extracting oil from porous media, and that they can be divided into In-situ and Exsitucategories according to existence of the micro-organisms in the reservoir or the injection of theirseparate products in the reservoir. Therefore the study of hydrodynamic system and the developmentof an efficient mathematical model for bacteria transmission in porous media to study the microbialenhanced oil recovery are inevitable and are more regarded in this research. In this study thedevelopment of one dimensional linear mathematical model of a fluid flow containing bacteria topredict biologic fluid transmission into porous media are examined. Since this model consideration ison biologic, and physiochemical phenomena, it is more flexible than the other models. The mainbiologic phenomena like growth and decay and chemotactic of bacteria (the movement of a single-cellliving organism stimulated by chemical stimulants) as well as physiochemical natures are the newaspects of this model. Until now few researches have been done concerning the effect of biologic flewcontaining bacteria on permeability reduction. The effect of input solution velocity, the primaryconcentration of substrate and the primary concentration of bacteria in suspension on the permeabilityreduction ratio of porous media are studied. The results show that the slop of the permeability ratiodecline rate exponentially increases with increasing of the initialvalue concentration of bacteria to 0.6,0.8 and 1 kg/m3 and decreasing of the initial value concentration of substrate in solublefrom100, 1and 0.5 kg/m3 and reducing input velocity from 0.001,0.0001, 0.0006m/s . It is also noted thearea that is affected by porosity and permeability changes, is in 10% of the initial length of the element.The model is sensitive to the order of magnitude of the value of variables.

کلیدواژه ها:

Bacteria ، permeability ratio reduction ، porous media ، MEOR