Page 207 - Principles of Applied Reservoir Simulation 2E
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192  Principles of Applied  Reservoir Simulation


        These points underscore  the need to recognize that the history match process
        does not yield a unique solution.  Forecasts  of reservoir behavior depend on the
        validity of the history match.
             Despite  the  uncertainty  associated  with  simulator-based  forecasts,
        reservoir  simulation  continues  to  be  the  most  reliable  method  for making
        performance predictions, particularly for reservoirs that do not have an extensive
        history  or  for  fields  that  are being  considered  as  candidates  for  a change in
        reservoir management strategy. Other methods, such as decline curve analysis
        and material balance analysis, can generate performance forecasts, but not to
        the degree of detail provided by a reservoir model study. As Saleri [ 1993] noted,
             4 "While a 10% to 40% forecast uncertainty may appear alarming in an
             absolute sense, the majority  of reservoir engineering decisions require
             choices based  solely on comparative analyses (for example, peripheral
             vs. pattern  flood).  Thus,  in selecting  optimum management  strategies,
             finite-difference  models still offer  the most effective  tools."
             Saleri's view  is similar to that of Oreskes,  et  al.  [1994],  Even though
        models are non-unique representations  of nature, they still have many uses. In
        summary, models can be used to
             4 corroborate or refute  hypotheses about physical systems;
             4  identify  discrepancies in other models; and
             4 perform  sensitivity analyses.
        Part IV integrates the ideas presented above in the context of a case study.



                                     Exercises

        Exercise 19.1 Data set EXAM4.DAT is a 2D areal model of an undersaturated
        oil  reservoir  undergoing  primary  depletion.  (A)  Run  EXAM4.DAT  and
        determine oil recovery  at the end of the run. (B) Set the bottomhole pressure
        (BMP) in well P-l ofEXAM4.DAT to  150 psia and run the model. How much
        oil is recovered  in the modified model?


        Exercise  19.2 Beginning at the end of year one, add a water injection well in
        each  of  the  four  corner  gridblocks  in  data  set  EXAM4.DAT  with  the  BHP
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