A FORTRAN PROGRAM FOR MONTE-CARLO SIMULATION OF OIL-FIELD DISCOVERY SEQUENCES

被引:1
|
作者
BOHLING, GC
DAVIS, JC
机构
[1] Kansas Geological Survey, University of Kansas, Lawrence
关键词
PETROLEUM RESOURCES; MONTE CARLO SIMULATION; POOL SIZE DISTRIBUTION;
D O I
10.1016/0098-3004(93)90066-E
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:1529 / 1543
页数:15
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