Hydrocarbon Field Size Distributions: A Case Study in Mixed Integer Nonlinear Programming
作者:
GreenmanJ. V.,
FryerM. J.,
期刊:
Journal of the Operational Research Society
(Taylor Available online 1996)
卷期:
Volume 47,
issue 12
页码: 1433-1442
ISSN:0160-5682
年代: 1996
DOI:10.1057/jors.1996.187
出版商: Taylor&Francis
关键词: dynamic programming;energy;statistics
数据来源: Taylor
摘要:
AbstractOf key importance to oil and gas companies is the size distribution of fields in the areas that they are drilling. Recent arguments suggest that there are many more fields yet to be discovered in mature provinces than had previously been thought because the underlying distribution is monotonic not peaked. According to this view the peaked nature of the distribution for discovered fields reflects not the underlying distribution but the effect of economic truncation. This paper contributes to the discussion by analysing up-to-date exploration and discovery data for two mature provinces using the discovery-process model, based on sampling without replacement and implicitly including economic truncation effects. The maximum likelihood estimation involved generates a high-dimensional mixed-integer nonlinear optimization problem. A highly efficient solution strategy is tested, exploiting the separable structure and handling the integer constraints by treating the problem as a masked allocation problem in dynamic programming.
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