Page 195 - Principles of Applied Reservoir Simulation 2E
P. 195

180  Principles  of Applied  Reservoir Simulation


             The seismic  history  matching process includes  steps  for  incorporating
        time-lapse seismic monitoring information. Time-lapse seismic monitoring is
        the comparison  of two  or more  3-D seismic  surveys over  the  same region  at
        different points in time. WINB4D includes algorithms  for providing information
        that can  facilitate  all of the tasks  shown  in Figure  18-1. This  has  been made
        possible by the inclusion of a petrophysical model in the flow simulator,



                       18.2 Key History  Matching  Parameters

             A fundamental concept of history matching is the concept of a "hierarchy
        of uncertainty."  The hierarchy of uncertainty is a ranking of model input data
        quality that lets the modeler  determine which data  is most  and  least reliable.
        Changes to model input data are then constrained by the principle that the least
        reliable  data  should  be  changed  first.  The  question  is:  which  data  are  least
        reliable?
             Data reliability is determined when data are collected and evaluated for
        completeness  and validity  [Raza,  1992;  Saleri, et  al.,  1992].  This  is such an
        important  step  in establishing a feel  for the  data  that  the  modeler  should  be
        closely involved with the review of data. Relative permeability  data are typically
        placed at the top of the hierarchy of uncertainty because they are modified more
        often  than other data. Relative permeability curves are often  determined  from
        core floods. As a consequence,  the applicability of the final set of curves to the
        rest of the modeled  region  is always in doubt.
             Initial  fluid  volumes  may be modified by  changing  a variety  of input
        parameters, including relative permeability endpoints and fluid contacts. Model-
        calculated,  original  fluid  volumes  in  place  are  constrained  by  independent
        techniques like volumetrics and material balance  studies.
             Attempts to match well data may require changing the producing  interval
        or the productivity index of a perforation interval. If it is difficult to match well
        performance in a zone or set of zones, the modeler needs to look at a variety of
        possibilities, including unexpected completion and wellbore problems. In one
        study, for example,  an unexpectedly  high GOR from a perforation  interval  that
        was known to be below the gas-oil  contact  was due to gas flow in the annulus
   190   191   192   193   194   195   196   197   198   199   200