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Part II: Reservoir Simulation  177


        gridblocks between each gridblock containing a well), but this may mean loss
        of vertical definition. A way to resolve  the problem is to  set up one or more
        cross-section models that represent different parts of the field. Vertical confer-
        mance  effects  in  these  regions  are  modeled  in  detail  by  calculating flow
        performance with the cross-section models. The flow performance of a detailed
        cross-section  model is then matched by adjusting relative permeability curves
        in a model with fewer layers. The resulting pseudo-relative permeability curves
        are considered  acceptable for use in an areal model
             Another aspect of model initialization is equilibration. This is the point
        at  which  fluid  contacts  are  established  and  fluid  volumes  are  calculated.
        Resulting model volumes should be compared with other estimates of fluid in
        place,  notably  volumetric  and  material  balance  estimates.  There  should  be
        reasonable agreement between the different methods (for example, within two
        percent). Finally, the history  match can begin.



                     18.1 Illustrative History  Matching Strategies

             A universally accepted strategy for performing a history match does not
        exist. History matching is as much art as science because of the complexity of
        the problem. Nevertheless, there are some general guidelines that can help move
        a  history  match  toward  successful  completion.  These  guidelines  have  been
        presented  by  such  authors  as  Crichlow  [1977],  Mattax  and  Dalton  [1990],
        Thomas  [1982],  and Saleri, et al. [1992]. One set of guidelines is presented in
        Table  18-1. The first two steps in the table take precedence  over the last two,
        If the first two  steps  cannot be achieved, there is a good chance the model is
        inadequate and revisions will be necessary. An inadequate model may be due
        to  a  variety  of  problems:  for  example,  the  wrong  model  was  selected,  the
        reservoir is poorly  characterized,  or field data is inaccurate or incomplete.
             Among the data variables matched in a typical black oil or gas study are
       pressure, production rate, water-oil ratio (WOR), gas-oil-ratio (GOR), and tracer
       data if it is available. More specialized studies, such as compositional or thermal
        studies,  should  also  match  data  unique to  the  process,  such  as  well  stream
       composition  or the temperature  of produced  fluids.
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