海上油田优势水流通道模糊综合识别模型

Fuzzy comprehensive recognition model of dominant water channels in offshore oilfield

赵鑫 刘月田 丁耀 刘彦锋

 （中国石油大学（北京）石油工程教育部重点实验室，北京 102249）

 (MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China)

 海上油田由于天然的非均质性和强注强采的开采特点，部分油水井间会形成优势水流通道，导致注入水波及系数降低，影响采收率。为了改善开发效果，必须采取调剖堵水等措施，措施的关键是有效识别优势水流通道。建立优势水流通道模糊综合识别模型，首先筛选发育优势水流通道的井组，然后确定优势水流通道在井组内的发育方向，最后利用聚类方法确定其发育层位。根据综合评分的大小，确定优势水流通道的发育程度，并定义其发育类型。文中采用的方法有针对性地分层次识别优势水流通道，避免了识别的盲目性，减少了识别的工作量。将该识别方法利用VB编制了软件，并应用于现场。对比模糊综合识别模型的识别结果与现场测试结果发现，符合率大于80%，说明该方法可靠实用。

 Due to the natural heterogeneity and high-rate injection and production of offshore oilfields, water channels will develop between some injection wells and production wells, causing low sweep efficiency and recovery. To enhance the recovery, some measurements need to be taken, while recognizing the dominant water channels is the key. Using fuzzy recognition model, well groups and the production wells developing water channels are chosen, then the thief zones are found by cluster analysis, and the development degree and types of water channel are determined according to the comprehensive score. Hierarchical recognition of the method in this paper can avoid blindness and reduce workload. Programming a set of software of this method by VB and applying it to an offshore oilfield, it turns out that the coincidence rate is more than 80%, which ensures the reliability of this method for offshore oilfield development.

10.6056/dkyqt201701021