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Chapter 32 Economic Risk Assessment for Field Development             57 1

                  uncertainties associated with the whole field development project, and to subsequently provide
                  the necessary support for decision-making.
                  By adopting probabilistic analysis tools, an economic risk assessment could treat the exiting
                  uncertainties and assess risks in a quantitative manner. Accordingly, probabilities of failure
                  events, as well  as  the  importance and  sensitivity measures for each  uncertainty could  be
                  provided.  Comparing  to  simple  ‘best  case’  and  ‘worst  case’  estimates  in  traditional
                  deterministic economic evaluations, these results could provide better support for decision-
                  making and help reduce the overall uncertainties involved in a field development project.
                  A  quantitative economic risk  assessment methodology is presented  in this Chapter. It  is a
                  generalization of various published economic risk studies, e.g. by, Skjong et a1 (1988), Bitner-
                  Gregersen et a1 (1992), Cui et a1 (1998), Odland (1999) and Bai et a1 (1999). Five major steps
                  are proposed as follows.
                    Identify the  field development phase  that  is to be  studied. This has been  discussed in
                    Section 32.1.1.
                    Identify  which  decision  should be  made  during  the  development  phase,  e.g.  starting
                    exploration, comparing early production concepts, evaluating different final development
                    concepts, operation and maintenance strategies, and so on.
                    Define the decision criteria and subsequently set up the limit state functions, e.g. by setting
                    a certain target NPV or IRR value, or the minimum LCC.
                    Model economic risk  by  obtaining statistical data for each parameter in the limit state
                    functions and calculating the failure probability. Both simulation and analytical reliability
                    methods may be used.  Parameters in limit state functions can be classified as cost and
                    income variables. They can be expressed in terms of statistic distributions or deterministic
                    values.
                    Perform sensitivity studies and propose economic risk reductions and uncertainty reducing
                    measures in order to improve the decision-making process.

                  32.2  Decision Criteria and Limit State Functions
                  32.2.1 Decision and Decision Criteria

                 Various decisions and decision criteria are involved in different phases of an offshore field
                  development  project.  Below  are  three  major  examples,  which  occurred  in  exploration,
                  development, and operation phases respectively.

                 A.  Should the field be developed now?
                  Will the development project be at least as profitable as alternative investment opportunities?
                  Will a development based on existing technology be acceptable in relation to the utilization of
                 resources, e.g. oil recovery factor, gas utilization, safety, and environment? Is the timing right
                 with regard to infrastructure? The IRR or NPV may be suitable in this context.
                  B.  Given that the field is under development, how should it be developed?
                  Different  field  development  concepts may  be  feasible.  Both  the  value  of production,  the
                  CAPEX, the OPEX, and the phasing of income and costs should be considered in a realistic
                  and balanced way. The NPV may be the most suitable criterion in this context
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