模糊聚类在胡十二块油藏质量评价中的应用

Application of Fuzzy Clustering Analysis to Reservoir Quality Evaluation in Hu12 Fault-Block Reservoir

东濮凹陷胡状集油田胡十二块是一个处于高含水期的断块层状油藏，随着近十年来的注水开发，其油藏质量和储量都在发生变化，目前面临着严峻的开发形势；为了提高油田的最终采收率，必须加强油藏的质量评价工作，了解各砂组、各小层油藏平面和纵向上的分布特点及剩余油分布规律。文中选用了较符合地质规律的模糊聚类方法，用R型因子分析方法优选了能够反映本区特点的9种参数，分砂组和小层对该油藏进杆了合理的分类和系统的质量评价，生产实践表明该分类结果具有一定的正确性，为油田今后的综合治理提供了可靠的地质依据。

Hu12 Fault-block Reservoir of Huzhuaugi Oilfield in Dongpu Depression is a faultblock and layered oil reservoir. Its reservoir quality and reserve have been changing with water-injection in about ten years,thus it encounters serious development problems nowadays. Oil reservoir quality evaluation has to be made so as to enhance oil final recovery and to understand the planar and vertical distributions of each sand-group and each layer, and the distribution rules of remaining oil. Fuuy clustering analysis method which is well accord with geological rules is chosen. Nine parameters which can renect the characteristics of Hu12 Fault-block Reservoir are optimized by R-type factor analysis approach. Reasonable classification and systematical quality evaluation are made for each sand-group and layer. The development practice has shown this classification is correct,which can provide reliable geological basis for further oil comprehensive administration.