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Chapter 32 Economic Risk Assessment for Field Development             575

                   The probability, PE , of a desirable or undesirable event, based on a limit state function (or
                   performance function) G(X) is defined in Eq. (32.4). The sign of the limit state hction is
                   selected in such a way that a negative value corresponds to not achieving the desired goal.
                       PE = P(G(X) IO)                                                 (32.4)

                   Corresponding to the event probability, the reliability index  ,8,  is defined as:
                       p, = -W’(PJ
                                                                                       (32.5)
                  where @ is the standardized normal distribution function. The probabilistic analysis procedure
                   can also treat situations where several criteria must be fulfilled simultaneously.

                  32.4  Results Evaluation
                  32.4.1  Importance and Omission Factors

                  The  importance  factor,  ai , indicates  the  fraction  of  the  total  uncertainty  arising  from
                  uncertainty in a variable. For the FORM analysis, the reliability index is increased by a factor

                          (called omission factor), if the uncertainty in variable i, is ignored and the variable is
                  replaced  by  its  mean  value  (50%  fractile)  as  a  deterministic variable.  These  importance
                  measures would provide useful guidance in a process of choosing which variables to collect
                   further data for, to reduce the overall uncertainty.
                  The importance of  the  different sources of  uncertainty may  be  obtained  from  the  FORM
                  method. The total uncertainty of the project gets three major contributions: Facilities (design,
                  construction and  installation) and  drilling  (34.2%),  Reservoir  size  and  production profile
                  (41.8%), and Oil price (20.3%). It is of particular interest to note the importance of the time it
                  takes to reach the maximum oil production. This clearly indicates that the economic result of
                  the project is dependent on good engineering, planning, and quality control. It is also observed
                  that within the assumed model, the project result is not dominated by uncertainties in the oil
                  price.

                  The use of the omission factors is illustrated by studying the well pre-drilling cost. Assume a
                  fixed price contract (a deterministic value) for pre-drilling which corresponds to 50% of its
                  original distribution. This changes the  reliability index  p  by  a  factor   For the
                  consolidated IRR  analysis with  an  IRR  = 11.3% (10% fi-actile, worst case), the  reliability
                  index is changed from  1.28 to  1.34. The corresponding failure probability is then 9%. This
                  means that with a  fixed price contract for pre-drilling, the probability of not  achieving an
                  internal rate of return of 11.3% is reduced from 10% to 9%.

                  32.4.2  Sensitivity Factors
                  During  decision-making, the  following  question  is  often  asked  “What  is  the  effect  of
                  changing this parameter?’  Such  question can  be  answered by  using  sensitivity measures,
                  which  give  the  change  in  event  probability  (through  change  in  reliability  index)  to  an
                  increment be  in  any input parameter 8,  whether it is a statistical distribution parameter or a
                  deterministic parameter.
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