Optimization of a reservoir development plan using a parallel genetic algorithm

被引：11

作者：

Carter, Jonathan N. ^{[1
]}

Matthews, John D. ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Earth Sci & Engn, London SW7 2AS, England

来源：

PETROLEUM GEOSCIENCE | 2008年 / 14卷 / 01期

关键词：

oil production; shallow marine; faults; optimization;

D O I：

10.1144/1354-079307-788

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

A parallel genetic algorithm has been applied successfully to design a production plan that is substantially superior to that obtained using a conventional engineering approach. The reservoir, a dipping structure, was expected to yield optimum production using a rolling line drive from downdip to updip positions. The simulation allowed for 3800 positions for each of 11 wells, giving a total of 1.3 x 10(31) options. The genetic algorithm sampled 1650 of these and was able to identify seven solutions that would increase production by over 30% compared with the rolling line drive. In contrast, a random search using 850 samples managed to find only two plans that improved production; in each of these cases the improvement was less than 1%.

引用

页码：85 / 90

页数：6

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