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Part II: Reservoir Simulation  143


       enlarged to include position-dependent  effects by modifying the grid represent-
       ing the reservoir architecture. Thus, a single block material balance calculation
       in a reservoir  simulation model  can be expanded with relative ease to Include
       flow in one, two, or three spatial dimensions. This procedure is used in the case
       study presented  in Part III.
             Most  reservoir  simulators  assume  reservoirs  are  produced  under
       isothermal  conditions.  They  also  assume  complete  and  instantaneous  phase
       equilibration  in  each  cell.  Thus,  most  simulators  do  not  account  for  either
       temperature gradients or the time it takes a mixture to reach equilibrium. They
       assume, instead, that reservoir temperature remains constant throughout the life
       of the field and that equilibration is established instantaneously. These are often
       reasonable assumptions.
             Momentum conservation is modeled using Darcy' s Law. This assumption
       means that the model does not accurately represent turbulent flow in a reservoir
       or near the wellbore. Some well models allow the user to model turbulent flow,
       especially for high flow rate gas wells. Turbulent flow models relate pressure
       change to a linear flow term, as in Darcy's  Law, plus a term that is quadratic in
       flow rate. This quadratic effect  is not usually included in the reservoir model,
       only in the well model.


                               15.2 Flow  Equations

             The general equations  for describing fluid flow in a porous medium are
       shown in Table  15-1 and associated nomenclature is presented  in Table  15-2.
       The molar conservation  equation includes a dispersion term, a convection term,
       a source/sink term representing wells, and the time varying accumulation term.
       The dispersion term is usually neglected in most workhorse simulators  such as
       black oil and compositional simulators. Neglecting dispersion simplifies program
       coding  and  is justified  when  dispersion  is  a  second-order  effect.  In  some
       situations,  such as miscible gas injection, physical  dispersion  is an effect  that
       should be considered. Further discussion of dispersion  is presented in Chapter
       16.
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