1 / 30

REAL OPTIONS IN PETROLEUM Case Studies in Exploration Production

Main Real Options and Examples. Option to Delay (Timing Option)Wait, see, learn before investOilfield development; Wildcat drillingAbandonment Option Managers are not obligated to continue a business plan if it becomes unprofitableSequential appraisal program can be abandoned earlier if inform

davina
Download Presentation

REAL OPTIONS IN PETROLEUM Case Studies in Exploration Production

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


    1. REAL OPTIONS IN PETROLEUM Case Studies in Exploration & Production By: Marco Antônio Guimarães Dias Petrobras, Brazil

    2. Main Real Options and Examples Option to Delay (Timing Option) Wait, see, learn before invest Oilfield development; Wildcat drilling Abandonment Option Managers are not obligated to continue a business plan if it becomes unprofitable Sequential appraisal program can be abandoned earlier if information generated is not favorable Option to Expand the Production Depending of market scenario and the petroleum reservoir behavior, new wells can be added to the production system

    3. Options in Exploration & Production

    4. E&P Process and Options Drill the wildcat (pioneer)? Wait? Extend? Revelation: additional waiting incentives

    5. Valuation of Exploratory Prospect Suppose the case below: how valuable is this prospect? Suppose that the firm has 5 years option to drill the wildcat Other firm wants to buy the rights of the tract. Do you sell? How valuable is the prospect?

    6. Valuation of Exploratory Prospect The traditional method looks only expected values, forgetting that, in some scenarios (if NPV < 0), rational managers will not exercise the option to develop the petroleum field. Consider the following data to quantify prospect value: Petroleum prices: P = 15.1 $/bbl ; Economic quality of a developed reserve: q = 20% (so one barrel of developed reserve = 0.20 x 15.1 = 3.02 $/bbl); Total value of the developed reserve V = q.P.B = 3.02 x B (where B is the number of barrels of reserve); Development cost (D): dividing in fixed (271 MM$) plus variable term (1.1 $/bbl of reserve), hence D = 271 + (1.1 x B) Using the expected value of reserve volume (B = 150 MM bbl), the value of the prospect by the traditional method is: Net Present Value (NPV) given a discovery: NPV = V - D = q.P.B - D ? NPV = (3.02 x 150) - (271 + 1.1 x 150) ? NPV = 17 MM US$ But the chances to discovery petroleum is only of 20% and is necessary to drill the wildcat with cost of E = 20 MM$. So: Expected Monetary Value: EMV = - 20 + (20% x 17) ? EMV = - 16.6 MM US$ (and the prospect is a worthless asset)

    7. Prospect with Option to Develop Considering that rational managers will not exercise the option to develop the petroleum field if it is unprofitable, the prospect value changes a lot. See the table below.

    8. Prospect Valuation and Revelation The previous option analysis consider only uncertainty in the reserve size and the option to develop as a “now-or-never” option (option expiring) However is not a “now-or-never” option, it is a 5 years option; In 5 years we shall have many different scenarios due both uncertainties, market (oil prices, costs) and technical (geology) Revelation of Geology: with the time, the exploratory activity of the whole industry in the basin will reveal good or bad news about the success probability, the productivity of reserve (so, the economic quality of a reserve q), the size of reserves, etc. In 5 years several wildcats shall be drilled in the same basin, revealing new values for success chances, reserve productivity and volume, etc. You can wait and see the revelation of information (free information) If you have an option (not an obligation), in 5 years the option will be exercised only if the scenarios combination is favorable.

    9. Prospect Valuation under Uncertainty

    10. Exploratory Prospect Uncertainty Considering the uncertainties in oil prices, economic quality of reserve, success probability; and reserve size. Considering probabilistic distributions but keeping the same expected values (assumptions at t = 5 y. not more optimistic) Without considering the options, the expected monetary value (EMV) @ t = 5 years is negative as before (- 16.6 MMUS$)

    11. Exploratory Prospect and Revelation However, @ t = 5 years you will exercise the option only if the NPV is positive. So, the unfavorable scenarios will be pruned (if NPV < 0, set value = zero) Options asymmetry leverage prospect valuation. EMV = + 14.8

    12. Real Options Asymmetry and Valuation

    13. Prospect Valuation under Uncertainty However, the value with revelation occurs in the future, @ t = 5 years. Discounting this EMV using a discount rate = 10% p.a., we get: Present Value of EMV = PV(EMV) = 9.19 MM$ There is a rent tax to retain the area of concession, but this value is small for exploratory blocks: Rental = US$ 3,000/year; PV(Rental) = 0.01 MM$ Hence, the prospect value with revelation is: Value = 9.18 MM$ > > traditional value ( -16.6 MM$) In reality, the correct value is even higher, because is possible that the option becomes “deep-in-the-money” before 5 years Depending on both market evolution and partial revelation of geology, the option can be exercised before t = 5 years

    14. Prospect Valuation under Uncertainty Considering the option feature of real assets, we get a very different result when comparing with the traditional value. Now it is easy to see that higher uncertainty means higher value if you have time and flexibility (options) Higher geologic uncertainty: non-mature basins Higher “revelation” potential than mature basins

    15. E&P Process and Options Drill the wildcat (pioneer)? Wait? Extend? Revelation: additional waiting incentives

    16. Sequential Options (Dias, 1997) Traditional method, looking only expected values, undervaluate the prospect (EMV = - 5 MM US$): There are sequential options, not sequential obligations; There are uncertainties, not a single scenario.

    17. Sequential Options and Uncertainty Suppose that each appraisal well reveal 2 scenarios (good and bad news)

    18. Option to Abandon the Project Assume it is a “now or never” option If we get continuous bad news, is better to stop investment Sequential options turns the EMV to a positive value The EMV gain is - 5 + 3.25 = $ 8.25 being:

    19. E&P Process and Options Drill the pioneer? Wait? Extend? Revelation, option-game: waiting incentives

    20. The Extendible Maturity Feature

    21. Extendible Options: Dias & Rocha (1998/9) Options with extendible maturities was studied by Longstaff (1990) for financial applications We (Dias & Rocha, 1998/9) apply the extendible options framework for petroleum concessions. The extendible feature occurs in Brazil, Europe, USA Base case of 5 years plus 3 years by paying a fee K (taxes and/or additional exploratory work). Included into model: benefit recovered from the fee K Part of the extension fee can be used as benefit (reducing the development investment for the second period, D2) We consider both stochastic processes for oil prices, the traditional geometric Brownian motion and the more realistic mean-reversion process with jumps

    22. Extendible Option Payoff at the First Expiration At the first expiration (T1), the firm can develop the field, or extend the option, or give-up/back to govern For geometric Brownian motion, the payoff at T1 is:

    23. Nominal Prices for Brent and Similar Oils (1970-1999)

    24. Poisson-Gaussian Stochastic Process We adapt the Merton (1976) jump-diffusion idea for the oil prices case, considering: Normal news cause only marginal adjustment in oil prices, modeled with a continuous-time process Abnormal rare news (war, OPEC surprises,...) cause abnormal adjustment (jumps) in petroleum prices, modeled with a discrete time Poisson process Differences between our model and Merton model: Continuous time process: mean-reversion instead the geometric Brownian motion (more logic for oil prices) Uncertainty on the jumps size: two truncated normal distributions instead the lognormal distribution Extendible American option instead European vanilla Jumps can be systematic instead non-systematic

    25. C++ Software Interface: The Main Window Software solves extendible options for 3 different stochastic processes and two methods (dynamic programming and contingent claims)

    26. The Options and Payoffs for Both Periods

    27. Real Applications of this Model A similar stochastic process of mean-reversion with jumps was used to equity design (US$ 200 millions) for the Project Finance of Marlim field (deepwaters, Brazil) The extendible options has been used to analyze the development timing of some projects in Campos Basin The timing policy was object of a public debate in Brazil, with oil companies wanting a higher timing and this model gave some contribution to this debate: We defended a longer timing policy compared with the first version of the ANP (Brazilian national petroleum agency) In April/99, the notable economist and ex-Minister Delfim Netto defended a timing policy for petroleum sector citing our paper conclusions about timing policies to support his view! (Folha de São Paulo, a top Brazilian newspaper)

    28. E&P Process and Options Drill the pioneer? Wait? Extend? Revelation, option-game: waiting incentives

    29. Option to Expand the Production Analyzing a large ultra-deepwater project in Campos Basin, we faced two problems: Remaining technical uncertainty of reservoirs is still important. In this specific case, the better way to solve the uncertainty is by looking the production profile instead drilling additional appraisal wells In the preliminary development plan, some wells presented both reservoir risk and small NPV. Some wells with small positive NPV (not “deep-in-the-money”) and others even with negative NPV Depending of the initial production information, some wells can be not necessary Solution: leave these wells as optional wells Small investment to permit a future integration of these wells, depending of the market evolution and the production profile response

    30. Modelling the Option to Expand Define the quantity of wells “deep-in-the-money” to start the basic investment in development Define the maximum number of optional wells Define the timing (or the accumulated production) that the reservoir information will be revealed Define the scenarios (or distributions) of marginal production of each optional well as function of time. Consider the depletion if we wait after learn about reservoir Simplify considering yearly distributions and limiting the expiration of the option (declining NPV due the depletion) Add market uncertainty (reversion + jumps for oil prices) Combine uncertainties using Monte Carlo simulation Use optimization method to consider the earlier exercise of the option to drill the wells, and calculate option value Monte Carlo for American options is a frontier research area

    31. Conclusions Real Options is the new paradigm for economic analysis of assets, projects, and opportunities under uncertainty. Real options can be viewed as a NPV maximization given the options and given the uncertainties/stochastic processes Need training, knowledge, and good computers Valuation of rights/projects using traditional methods underestimates values, resulting on very wrong values. Implications for petroleum real assets negotiations, bids, etc. Implications for investment decisions and portfolio selection Firms need to develop simple and more complex models. Simple models are important for fast calculations. Interactive interface, charts, and educational work. Real world and specific issues demand also more complex and “taylor-made” models: in-house models Firms need to follow the state of the art and the growing literature

More Related