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多油层复杂断块油藏开发层系细分研究
引用本文:罗水亮,曾流芳,李林祥,闫效义. 多油层复杂断块油藏开发层系细分研究[J]. 西南石油大学学报(自然科学版), 2010, 32(6): 98-102. DOI: 10.3863/j.issn.1674-5086.2010.06.020
作者姓名:罗水亮  曾流芳  李林祥  闫效义
作者单位:1.中国石化胜利油田孤东采油厂,山东 东营 257237; 2.中国石油川庆钻探工程有限公司长庆固井公司,陕西 西安 710021
摘    要:滨南油田毕家断块沙三下亚段属于多层砂岩、强非均质性油藏,其纵向上含油小层多达58个,开发过程中暴露出层间矛盾日益突出。基于油藏地质及开发特征分析,提出利用K-均值算法对小层进行分层聚类,建立定量化的开发层系划分标准,指导开发层系的划分。通过K-均值算法将滨南油田毕家断块沙三下亚段细分为三套开发层系,数值模拟分析表明,利用K-均值算法对开发层系进行定量划分是可行的,细分开发层系后渗透率极差变小、层间矛盾减缓,预测15年后采收率提高13.4%。

关 键 词:复杂断块油藏  开发层系  K-均值算法  数值模拟  聚类分析  滨南油田  

APPLICATION OF K-MEANS METHODS IN THE SUBDIVISION OF LAYERS OF THE COMPLEX FAULT BLOCK RESERVOIRS
LUO Shui-liang,ZENG Liu-fang,LI Lin-xiang,YAN Xiao-yi. APPLICATION OF K-MEANS METHODS IN THE SUBDIVISION OF LAYERS OF THE COMPLEX FAULT BLOCK RESERVOIRS[J]. Journal of Southwest Petroleum University(Seience & Technology Edition), 2010, 32(6): 98-102. DOI: 10.3863/j.issn.1674-5086.2010.06.020
Authors:LUO Shui-liang  ZENG Liu-fang  LI Lin-xiang  YAN Xiao-yi
Affiliation:1.Gudong Oil Production Plant,Shengli Oilfield,Dongying Shandong 257237,China;2.Changqing Cementer Company,Sichuan Changqing Drilling Co.,CNPC,Xi′an Shaanxi 710021,China
Abstract:Lower Es3 of Bijia fault block in Binnan Oilfield which contains as many as 58 oil subzones vertically belongs to the oilfield of multi-layer sandstone and strong heterogeneity reservoir.With the development of exploitation,conflicts between these layers are increasing.On the basis of comprehensive analysis of geologic features and development characteristics of the oilfield,we propose a criterion for quantitatively classifying development zones by hierarchical clustering subzones with K-means method,which proves effective in directing classification of development layers.In this paper,we presents the layer division criterion,based on which we divided Lower Es3 of Bijia fault block in Binnan Oilfield into three sets of development zones and also directed by economical theory and numerical simulation technology.Research practice shows that the presented layer division method using K-means is reliable,and the oil recovery is obviously enhanced.
Keywords:complex fault block reservoir  production layer  K-means algorithm  numerical simulation  clustering analysis  Binnan Oilfield  
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