Summary
Least-squares Monte Carlo (LSM) simulation is a promising new technique for
valuing real options that has received little or no attention in the oil and
gas industry. In this paper, we will demonstrate how LSM simulation can handle
more-realistic valuation situations including the ability to (1) handle
more-realistic (probabilistic) price models and (2) deal with multiple,
possibly correlated, uncertain variables.
The LSM method is applied here to an economics problem faced by many
operators: What is the value of a gas field given the decision to trade the gas
on the spot market as opposed to selling the gas through a long-term supply
contract? A company that chooses to trade gas can decide when and how much to
produce and can profit from changing market conditions, such as by increasing
production during a high-price environment.
Three uncertainties have been modeled: the gas price, the operational costs,
and the rate of production decline. Increasing profitability associated with
rising hydrocarbon prices typically is offset partially by increasing
expenditures. Hence, the costs have been correlated with the gas price. The
expectation of the remaining reserves is adjusted continuously on the basis of
the performance of the field. The latter is simulated by stochastically
modeling the rate of production decline.
The paper shows that a gas field that can be produced and abandoned at will
has a large value of flexibility. The net present value (NPV) of such an asset
will underestimate the true economic value. A further benefit of using the
real-option-valuation (ROV) approach discussed here is that the valuation
procedure produces a strategy map showing actions within the project, not just
numbers.
© 2009. Society of Petroleum Engineers
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History
- Original manuscript received:
7 July 2008
- Meeting paper published:
21 November 2008
- Revised manuscript received:
23 April 2009
- Manuscript approved:
18 May 2009
- Published online:
14 January 2010
- Version of record:
14 January 2010