基于T-S模型和PQGA的油田指标预测方法

摘要

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.%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.