Page 112 - Principles of Catalyst Development
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Part II: Reservoir Simulation  93


                        120   .  .  ,     .  .
                     if 100      ;        '•  •  ,•  •  :  Actual
                     I.  80  '  '  :  ;  !  '  . . - • - * " •  :  _ . '  :  1981
                     •S  60     ._!_!                   "
                     Q.        ./ . V    - "            1984
                      R  ^O   . / . ! ^  w .'.    i „ * r *  •
                      CL.                               1987
                           *— '  -  -  '•  • \ Is  -  ..***.-**
                     ==  20           V"»~"~"'~"~*--  *  *  .  .  •
                     O           :                   i  1991
                         O      i  '  '
                          1975  1981  1986  1991  1996
                                      Year
                   Figure 10-3. Price forecasting.

        Forecasts  that were made in years  1981,  1984,  1987, and  1991 are compared
        to the  actual prices.  Even though price forecast is essential  to a commercial
        enterprise,  it is clear from Lynch's study that there is considerable uncertainty
        associated with the price forecast. The wide swing in oil price in the late 1990's
        where  oil price varied by a factor  of two indicates  the volatility of economic
        factors that are needed in  forecasts.
             In addition to uncertainty in economic parameters,  there is uncertainty
        in the forecasted production performance of a field. Forecasts do not account
        for discontinuities in historical patterns that arise from unexpected  effects. This
        is  as true  in the physical  world  as it  is  in the  social  [Oreskes, et al,  1994].
        Simulators  do not eliminate uncertainty; they give us the ability to assess and
        better manage the risk associated with the prediction of production performance.
             A valuable but intangible benefit of the process associated  with reservoir
        simulation is the help it provides in managing the reservoir. One of the critical
       tasks of reservoir  management is the acquisition and maintenance of an up-to-
        date data base. A simulation study can help coordinate activities as a modeling
       team gathers the resources it needs to determine the optimum plan for operating
       a field. Collecting  input data for a model  is a good  way to  ensure  that every
       important technical variable is considered  as data is collected from  the many
       disciplines that contribute to reservoir management. If model performance is
       especially  sensitive to a particular parameter, then a plan  should be made to
       determine that parameter more accurately, for example, from either laboratory
       or appropriate field tests.
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