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Information Only - Waste Isolation Pilot Plant - U.S. Department of ...

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XII-3<br />

million.<br />

The E(NPV) for oil production within the additional area is $47 million at 10%.<br />

The E(NPV) at 10% for gas exploration in the combined area is $133 million. See<br />

Figure 8.<br />

The E(NPV) for gas production within the boundaries <strong>of</strong> the WIPP site is $67<br />

million.<br />

The E(NPV) for gas production within the additional area is about $69 million.<br />

Taxes and potentially foregone tax revenues were also srudied via the simulation.<br />

Values for severance, state and corporate taxes, as well as royalty payments were<br />

simulated. Expected present values (E(PV)s) are presented in Tables 2 and 3 for oil and<br />

gas at a 15 % discount rate. Because these figures are from separate simulations, values<br />

from the additional and WIPP areas may not exactly sum to reported combined area<br />

values. Values associated with a 10% rate are in the appendix.<br />

SIMULATION METHOD<br />

Oil and gas reserve estimates for the WIPP site, additional area, and combined<br />

area were provided by specialists at the New Mexico Bureau <strong>of</strong> Mines & Mineral<br />

Resources. A simulation model was constructed for both oil and gas in each <strong>of</strong> the three<br />

zones <strong>of</strong> interest. Key model inputs, in addition to reserve data, included the price <strong>of</strong> the<br />

commodity, the unit cost <strong>of</strong> extraction, severance tax rates, state and federal corporate<br />

taxes, the depreciation schedule assumed for capital investments, and the discount rate.<br />

Development <strong>of</strong> a method to anticipate future market prices for oil and gas was a key<br />

issue. Time units were years, and the time frame simulated was 1995-2030.<br />

Forecasting is as much an inexact art as a science, particularly when the<br />

forecasting horizon is 35 years. Thus, although historical prices for Eddy County oil and<br />

gas were modeled using time-series methods, a simulation approach was used to value<br />

these resources. Annual market prices were simulated using a random-walk methodology<br />

(an excellent reference is Karlin and Taylor, 1975), which is discussed below. Depletion<br />

was calculated using the standard methodology, which may be found in Stermole and<br />

Stermole (1993).<br />

The time frame considered was 1995-2030. Market prices and extraction and wellmaintenance<br />

costs were considered on an annual basis, and anticipated productivity data<br />

were provided on an annual basis. A sample (this sample does not include actual data<br />

used in the srudy for both investment and operating costs) simulation run for the years<br />

1995-2001 is provided in Table I.<br />

<strong>Information</strong> <strong>Only</strong>

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