Abstract: The water saturation distribution field can truly reflect the water flooding in the oil well, but the accuracy of water saturation field depends greatly on the application of a single index to evaluate the water flooding level. In this paper, a fuzzy comprehensive evaluation model is proposed, which can effectively identify the water flooded level of well layer, including the parameter system, weight system and index classification criteria. Taking the actual data of each layer of 408 wells in the Xinbei development area as an example, the water flooded classification system is used to judge the water flooded level in each layer. The results show that the water flooded level of the one well network is heavy and the water flooded level of the two and three wells is low, which provides a reliable basis for the remaining oil and water plugging treatment in the next step.

Key words: Classification of water flooded zones, AHP, Cumulative probability, Parameter bounds, Fuzzy evaluation

摘要： 含水饱和度分布场能够真实地反映出油井在该层的水淹情况，但是应用单一指标评价水淹级别对含水饱和度场的准确性依赖程度较大。基于此提出了结合含水饱和度分级，建立能够有效识别井层水淹级别的评价指标参数体系、权重体系和指标分级标准的模糊综合评判模型。以杏北开发区408口油井各层实际数据为例，应用该水淹级别识别体系对各层水淹级别进行判断。结果表明，基础、一次井网水淹程度较重，二次、三次井网水淹级别较低，为下步挖潜剩余油和堵水治理提供了可靠的依据。

关键词: 水淹级别划分, 层次分析法, 累积概率, 参数界限, 模糊评判