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Petroleum Geoscience; February 2008; v. 14; no. 1; p. 85-90; DOI: 10.1144/1354-079307-788
© 2008 Geological Society of London
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Original Article

Optimization of a reservoir development plan using a parallel genetic algorithm

Jonathan N. Carter and John D. Matthews

Department of Earth Science and Engineering, Imperial College, London SW7 2AS, UK (j.n.carter{at}imperial.ac.uk)

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 1.3x1031 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%.

KEYWORDS: oil production, shallow marine, faults, optimization




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