Page 391 - Hydrocarbon Exploration and Production Second Edition
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378                                Risk Analysis for Major Capital Investments in Projects



                                           Best Guess anchored
                                                 on preferred
                                                  ‘base case’
















                    Multiple                                      Multiple
                    Stochastic                                Deterministic
                    Models selected statistically based  Models designed manually,
                    on boundary conditions and             based on discrete
                    parameter inter-relationships.       alternative concepts.
                    May or may not include a base case.  Ideally no base case.

          Figure 15.14  Alternative approaches to subsurface uncertainty handling.

          the result by

            Listing the perceived uncertainties in the field. This is done for both the static and
            dynamic realms.
            Rank the uncertainties. This can be done by assigning a low, medium or high
            impact label to each of the uncertainties after a round table discussion involving
            the entire subsurface team, or by building some very simple models to determine
            the relative impact of each input listed.

             If suitable simple models can be built for this initial investigation, the spider
          diagram is a useful way of representing the impact of the ranges of uncertainty of the
          input parameters. The ones which need to be captured in the risk analysis are those
          which move the result furthest from the base case (Figure 15.15).
             Alternatively the result of the ranking exercise could be as simple a table listing
          the input parameters and flagging them as having high, medium or low impact.
             In the base case-dominated approach (Figure 15.16), the models are ‘anchored’
          around a favoured interpretation of the raw data, and variations on this model are
          created by adjusting the values of those input variables which rank highest in the
          exercise above. This method will typically yield a low, base and high case model. Its
          advantage is that it is relatively quick to generate, is broader than a single case and is
          easily understood. The disadvantage is that it may not be broad enough to capture
          the true range of uncertainty, and may yield a false sense of accuracy in the models
          derived.
             A multiple stochastic approach (Figure 15.17) uses statistical techniques to infill
          data between fixed points, or boundary conditions, such as well depths, top reservoir
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