Page 140 - Principles of Applied Reservoir Simulation 2E
P. 140

Part II: Reservoir Simulation  125


                                    Table 13-3
                        Examples of Cubic Equations of State
                                          RT      aiT Vl
                 Redlich-Kwong       P
                                          V-b    V(V+b)
                                          RT      a(T)
              Soave-Redlich-Kwong    P
                                          V-b    V(V+b)
                                           RT             a(T)
                 Peng-Robinson       P
                                          V-b     V(V+b)   +  b(V-b)

                                            RT          a(T)IT V2
                Zudkevitch-Joffe     P
                                          V-b(T)       V[V+b(T)]



             Equations of state are valuable for representing  fluid properties  in many
        situations. For example, suppose we want to model a system in which production
        is commingled  from more than one reservoir with more than one fluid type. In
        this  case  the most  appropriate  simulator would be a compositional  simulator
        because a black oil simulator would not provide as accurate a representation of
        fluid behavior.
             The  two  most  common  types  of  reservoir  fluid  models  are  black oil
       models and compositional models. Black oil models are based on the assumption
       that  the  saturated  phase  properties  of two  hydrocarbon  phases  (oil  and  gas)
       depend on pressure  only. Compositional models also assume two hydrocarbon
       phases, but they allow the definition of many hydrocarbon components. Unlike
       a black oil simulator, which can be thought of as a compositional simulator with
       two components,  a compositional simulator often has six to ten components. By
       comparison,  process  engineering  simulators  that  are  used  to  model surface
       facilities  typically require up to 20 components  or more.  The cost of running
       a compositional simulator increases dramatically with increases  in the number
       of components modeled, but the additional components make it possible to more
       accurately model complex fluid phase behavior. If compositional model results
       are to be used in a process engineering model, it is often  necessary  to compro-
       mise on the number of components to be used for each application.
   135   136   137   138   139   140   141   142   143   144   145