A fortran program for Monte Carlo simulation of oil-field discovery sequences
Computers & Geosciences
By: Geoffrey C. Bohling and J.C. Davis
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Abstract
We have developed a program for performing Monte Carlo simulation of oil-field discovery histories. A synthetic parent population of fields is generated as a finite sample from a distribution of specified form. The discovery sequence then is simulated by sampling without replacement from this parent population in accordance with a probabilistic discovery process model. The program computes a chi-squared deviation between synthetic and actual discovery sequences as a function of the parameters of the discovery process model, the number of fields in the parent population, and the distributional parameters of the parent population. The program employs the three-parameter log gamma model for the distribution of field sizes and employs a two-parameter discovery process model, allowing the simulation of a wide range of scenarios. ?? 1993.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A fortran program for Monte Carlo simulation of oil-field discovery sequences |
| Series title | Computers & Geosciences |
| DOI | 10.1016/0098-3004(93)90066-E |
| Volume | 19 |
| Issue | 10 |
| Year Published | 1993 |
| Language | English |
| Publisher | Elsevier |
| Publisher location | Amsterdam, Netherlands |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Computers and Geosciences |
| First page | 1529 |
| Last page | 1543 |
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