Page 12 - Percolation Models for Transport in Porous Media With
P. 12

Introduction






          Creation of essentially new technologies in the recovery of mineral resources is im-
         possible without a thorough research in fluid  transfer phenomena in rocks.  How-
         ever  it  appears unreasonable to expect  discovery of new  physical effects  in fluid
         flow  in porous media if traditional continuous media models are applied.  In these
         models,  the huge variety of rock types  is  taken account of by  varying the coeffi-
         cients of permeability and porosity in the equations describing fluid flow.  With this
         approach, the coefficient  of phase permeability is  the only  parameter that bears
         information about  pore space  structure of rocks;  experimental determination of
         this coefficient, however, is of considerable technical difficulty.
            At  the  same  time,  it  is  obvious  that  the  pore  space  structure  has  a  great
         influence  upon  the  nature of fluid  flow  in  micro  heterogeneous  media.  Notable
         pressure gradients during the fluid flow or electric field potential during the electric
         current  flow  can  emerge  at  the  micro  level  because  of the  heterogeneity  of the
         medium; those, in their turn, can bring about more physical effects.  For example,
         as it exceeds  a certain threshold value,  the high density of energy release in thin
         capillaries can cause destruction of the cement and result in reconstruction of the
         pore space structure of the medium.  This effect  was  predicted theoretically and
         confirmed experimentally in the mid 70s.  Based on this effect,  an essentially new
         technology  for  stimulation  of wells  was  developed,  allowing  for  increase  of well
         rates in recovery of mineral resources (water, oil, metals).
            Obviously,  to describe  a  transfer  in  micro  heterogeneous  media  and  related
         effects, one has to use 3D network models.  Solving such problems (both static and
         dynamic)  by  means of numerical simulation  requires  huge  amounts of computer
         time.  In  this  case  obtaining  approximate analytical  solutions  using  percolation
         models is of a great interest.
            More  papers  on  fluid  flow  theory,  purely  computative  [1-9]  as  well  as  both
         computative and theoretical  [10-16],  using methods  of percolation theory,  began
         to appear quite frequently  in  the last  years.  Experimental investigations in  this
         field  come in a series of purely experimental [17  -22]  or experimental and com  pu-
         tative  [23,  24]  studies,  which  combine  numerical  calculations  with  experimental



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