Application of Genetic Algorithm to Optimized Oilfield Development

Xinjiang Petroleum Geology ›› 2005, Vol. 26 ›› Issue (1): 80-82.

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Application of Genetic Algorithm to Optimized Oilfield Development

LI Xiao-ming^1,2, ZHANG Lie-hui³, ZHOU Hong⁴

1. Postdoctoral Programme, Southwest Petroleum Institute, Chengdu, Sichuan 610500, China;
2. Postdoctoral Programme, Southwest Corporation, Sinopec, Chengdu, Sichuan 610081, China;
3. State Key Laboratory of Reservoir Geology and Development Engineering,Southwest Petroleum Institute, Chengdu, Sichuan 610500, China;
4. Shunan Gas Field, Southwest Oil-Gas Field Company, PetroChina, Luzhou, Sichuan 646001, China

Received:2004-05-17 Online:2005-02-01 Published:2020-08-24

Abstract

Abstract: Conventional optimizing techniques are often not adopted due to being unable to properly deal with muli-variable optimization and due to possibly discontinuous and non-differentiable objective function. Also, regular well patterns appear to be more risky to use for lacking of flexibility. In view of these issues, this paper suggests that genetic algorithm can be applied for well pattern and well number optimizations in order to get maximum cumulative production and best economic benefits. Study shows that this technique is certain of effectivity.

Key words: genetic algorithm, optimization, well pattem, cumulative production, net present value(NPV)

CLC Number:

TE313

LI Xiao-ming, ZHANG Lie-hui, ZHOU Hong. Application of Genetic Algorithm to Optimized Oilfield Development[J]. Xinjiang Petroleum Geology, 2005, 26(1): 80-82.

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Application of Genetic Algorithm to Optimized Oilfield Development

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