Oil & Natural Gas Projects
Exploration and Production Technologies
Center for Petroleum Asset Risk Management (PARM)
This project was selected as a small purchase to provide DOE with state-of-the-art
information on Asset Risk Management in the petroleum industry.
The goal of the project is to develop and apply methods that will improve the
ability of the hydrocarbon industry to improve capital efficiency.
University of Texas at Austin
Chevron Producing Company
Oklahoma City, OK
Buenos Aires, Argentina
This ongoing project has revealed new ways to evaluate options in reserve estimation,
in value of information, and in evaluating asset portfolios.
Hydrocarbon evaluation has been done historically in a deterministic manner.
That is, even though it is widely acknowledged that there are substantial uncertainties
in prediction, decisions are made on the basis of fixed information. This work
will show whether the operators' decision-making can be improved if this uncertainty
is accounted for.
The primary incentives for the work are the following observations:
- Until the recent price increase, the exploration and production (E&P)
underperformed all other major business sectors in efficiency of capital use.
- Estimates of recovery are pervasively too small. In the case of reserve
underprediction has led to some notorious cases involving major oil companies.
- Techniques exist for making decisions under uncertainty. For the most part,
not been brought into the E&P industry.
- The worth of many types of E&P information is not quantitatively established.
The project has two main objectives:
- Validation of alternative approach for evaluating real options. Brandao,
et al. have shown that the formalism in incorporating the value of choice
into decisions can be represented by a binary lattice. This supplants the
far more complicated Black-Scholes approach with one that is more transparent
and easier to use with other decision-making tools.
- Forecasting hydrocarbon prices. Hahn and Dyer have applied a mean-reverting
stochastic process to oil prices. Because it is statistical, it is well suited
for the evaluation of projects under certainty.
The project is ongoing. DOE supported the initial stages of the project. The
current work is completely industry-supported.
A calculated trade-off between risk (horizontal axis) and profitability
(vertical) from the work of Faya. This is based on a hypothetical
portfolio of oil-producing projects. Such a plot is useful in determining the
amount of uncertainty associated with a given rate of return.
The project does not require annual reports. The following are theses or dissertations
that are completed or are nearing completion:
Hahn, Warren, Dyer, Jim, Incorporating Mean-Reverting Price Forecasts into
Exploration and Production Valuation, April 2005.
Brandao, Luis, Dyer, Jim, Hahn, Warren, Using binomial decision trees to solve
real option valuation problems, May 2005.
D'Addosio, Pierangaela, Analysis of risk cultures, August 2005
Portillo, Maria, Optimizing gas production under uncertainty, August 2005
Lawal, Azeez, A sensitivity analysis of the uncertainties of oil production,
Hultszch, Paul, Estimating the benefits of options in reserve estimation, December
Faya, Luis, Using portfolio optimization for oil field assets, May 2006.
Min, Namhon, The value of oil field information, May 2007.
Project Start: October 2003
Project End: April 2005
Anticipated DOE Contribution: $95,000
Performer Contribution: $230,000 (67% of total)
NETL - Rhonda Jacobs (Rhonda.email@example.com or 918-699-2037)
UT, Austin - Larry W. Lake (Larry_Lake@mail.utexas.edu or 512-471-8233)