Page 211 - Hydrocarbon Exploration and Production Second Edition
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198                                           Cost-Benefit Calculations for Appraisal


          medium or low STOIIP. On the branches from the chance node, the estimated
          probability of these outcomes is noted (0.33 in each case). The sum of the
          probabilities on the branches from a chance node must be 1.0, since the branches
          should describe all possible outcomes. The next decision is whether to develop or
          not. The development plan in each case will be tailored to the STOIIP, and will
          have different costs and production profiles. It can be seen that for the low case
          STOIIP, development would result in a negative NPV.
             If no appraisal was performed, and the development was started based, say, on
          the medium case STOIIP of 48 MMstb, then the actual STOIIP would not be
          found until the facilities were built and the early development wells were drilled.
          If it turned out that the STOIIP was only 20 MMstb, then the project would lose
          $40 million, because the facilities were oversized. If the STOIIP is actually
          48 MMstb, then the NPV is assumed to be the same as for the medium case after
          appraisal. If the STOIIP was actually 100 MMstb, then the NPV of +$40 million is
          lower than for the case after appraisal (+$66 million) since the facilities are too small
          to handle the extra production potential.
             In the example, development without appraisal leads to an NPV which is the
          weighted average of the outcomes: $million ( 40+6+40)/3 ¼ +$2 million. Develop-
          ment after appraisal allows the decision not to develop in the case of the low
          STOIIP, and the weighted average of the outcomes is $million (0+6+66)/3 ¼ +$24
          million.

           Value of appraisal information ¼ Value of outcome with appraisal information   value of
                                     outcome without appraisal information
                                   ¼ $24 million   $2million ¼ $22 million


             In this example it would therefore be justifiable to spend up to $22 million on
          appraisal activity which would distinguish between the high, medium and low
          STOIIP cases. If it would cost more than $22 million to determine this, then it
          would be better to go ahead without the appraisal. The decision tree has therefore
          been used to place a value on the appraisal activity, and to indicate when it is no
          longer worthwhile to appraise.
             Figure 8.5 shows the same decision tree but now ‘rolled back’ to show the value
          of appraisal information – the difference in the EMV with appraisal information,
          and the EMV without appraisal information. EMV is the expected monetary value;
          the risk weighted outcome of the branch.
             The benefit of using the decision tree approach is that it clarifies the decision-
          making process. The discipline required to construct a logical decision tree may also
          serve to explain the key decisions and to highlight uncertainties.
             The fiscal regime (or tax system) in some countries allows the cost of E&A
          activity to be offset against existing income as a fiscal allowance before the
          taxable income is calculated. For a taxpaying company, the real cost of appraisal is
          therefore reduced, and this should be recognised in performing the cost-benefit
          calculations.
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