灰色聚类分析在油田经济效益评价中的应用

随着油田开发的深入，进入中后期开发的油田由于综合含水量增加，会导致油气产量递减，增产措施费用增
加，不同油田的经济效益也就有所不同，因此有效准确地评价油田经济效益十分重要。本文运用灰色系统理论的聚类
分析方法，结合某油田开发的实际情况，以某油田作业区的6 个区块为例，选取单井核实日产油、单井核实日产液、综
合含水、地质开采速度、开井率、老井措施有效率和单位生产成本7 个代表性因素进行灰色聚类分析和研究，得到6 个
区块的评价结果，为评价油田经济效益提供了一种方法。

Application of Grey Clustering Analysis in Oilfield Economic Investment Evaluation

In the process of oilfield development, the water cut of crude oil increase continuously at the middle or late stage of development. It would, on the one hand, lead to the decline of production, and on the other hand, result in the increase in investment in oil recovery enhancement. Therefore, economic benefits of different oilfields differ widely, and it is very important to evaluate the benefit of the oilfield with efficiency and preciseness. With cluster analysis of grey system theory, and combined with the actual situation of oilfield development, we picked seven representative factors to do the grey clustering analysis and research, which include： single well verified daily oil output, single well verified daily fluid production, average water cut, geological mining speed, well working rate, effective rate for old well measures and unit production cost in six blocks of SL oilfield. The evaluation results may provide a new method for oilfield economic benefit evaluation..