| 基于T-S模型和PQGA的油田指标预测方法 |
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| 引用本文： | 李盼池,王海英,杨雨.基于T-S模型和PQGA的油田指标预测方法[J].计算机应用与软件,2012,29(4):57-59,67. |
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| 作者姓名： | 李盼池 王海英 杨雨 |
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| 作者单位： | 1. 东北石油大学石油与天然气工程博士后科研流动站 黑龙江大庆163318;东北石油大学计算机与信息技术学院 黑龙江大庆163318
2. 东北石油大学计算机与信息技术学院 黑龙江大庆163318 |
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| 基金项目： | 国家自然科学基金项目(61170132);黑龙江省教育厅科学基金项目(11551015);中国博士后科学基金特别项目(201003405) |
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| 摘 要： | 针对油田开发指标预测问题,提出一种T-S模型建模方法.该方法采用量子遗传算法优化T-S参数.首先根据预测指标及影响因素建立模糊规则库,然后根据模糊规则库建立T-S预测模型,采用改进的量子遗传算法优化T-S参数.以油田开发指标中含水率预测为例,结果表明该方法是有效可行的.
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| 关 键 词： | T-S模型 量子遗传算法 指标预测 优化算法 |
PREDICTION OF OILFIELD DEVELOPMENT INDEXES BASED ON T-S AND PQGA |
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| Li Panchi
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Wang Haiying
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Yang Yu.PREDICTION OF OILFIELD DEVELOPMENT INDEXES BASED ON T-S AND PQGA[J].Computer Applications and Software,2012,29(4):57-59,67. |
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| Authors: | Li Panchi Wang Haiying Yang Yu |
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| Affiliation: | 1(Post-doctoral Research Center of Oil and Gas Engineering,Northeast Petroleum University,Daqing 163318,Heilongjiang,China) 2(School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,Heilongjiang,China) |
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| Abstract: | Aiming at the prediction of oilfield development indexes,a T-S modelling method is proposed.This method adopts the quantum genetic algorithm to optimise the T-S parameters.Firstly,the fuzzy rule base is establish according to the prediction indexes and influence factors,secondly,the T-S prediction model is set up according to the fuzzy rule base,and the improved quantum genetic algorithm is applied to optimise the T-S parameters.With the prediction of moisture content in oilfield development indexes as an example,the experimental results show that this method is effective and feasible. |
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| Keywords: | T-S model Quantum genetic algorithm Indexes prediction Optimisation algorithm |
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