U.S. Geological Survey probabilistic methodology for oil and gas resource appraisal of the United States
Journal of the International Association for Mathematical Geology
By: R. A. Crovelli
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Abstract
Probabilistic methodology used by the U.S. Geological Survey is described for estimating the quantity of undiscovered recoverable conventional resources of oil and gas in the United States. A judgmental probability distribution of the "quantity of resource" and its properties is determined for a geologic province or basin. From this distribution, point and interval estimates of the quantity of undiscovered resource are obtained. Distributions and their properties are established for each of the following resources: (1) oil and nonassociated gas from estimates of the probability of the resource being present and the conditional probability distribution of the quantity of resource given that the resource is present, (2) associated-dissolved gas from its corresponding oil distribution, (3) total gas, (4) oil and total gas in two or more provinces. Computer graphics routines are illustrated with examples from the U.S. Geological Survey Circular 860. ?? 1984 Plenum Publishing Corporation.
Suggested Citation
Crovelli, R., 1984, U.S. Geological Survey probabilistic methodology for oil and gas resource appraisal of the United States: Journal of the International Association for Mathematical Geology, v. 16, no. 8, p. 797-808, https://doi.org/10.1007/BF01036705.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | U.S. Geological Survey probabilistic methodology for oil and gas resource appraisal of the United States |
| Series title | Journal of the International Association for Mathematical Geology |
| DOI | 10.1007/BF01036705 |
| Volume | 16 |
| Issue | 8 |
| Year Published | 1984 |
| Language | English |
| Publisher location | Kluwer Academic Publishers-Plenum Publishers |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Journal of the International Association for Mathematical Geology |
| First page | 797 |
| Last page | 808 |