分组裂缝预测技术在碳酸盐岩储层中的应用  

The Application of Grouping Fracture Predicting Technique in Carbonate Reservoirs

作　　者：鲁金凤[1] 陈玮[1] 徐晓冬[1] 蔺重庆 方正一 

机构地区：[1]延长油田股份有限公司下寺湾采油厂,陕西甘泉716100 [2]延安正宏石油工程技术服务有限公司,陕西延安716000

出　　处：《长江大学学报（自科版）（中旬）》2016年第12期33-36,共4页Journal of Yangtze University(Nature Science Edition)

基　　金：中国石油科技创新基金研究项目(2015D-5006-0206)

摘　　要：天然裂缝对碳酸盐岩油气藏的产能起着重要作用。中亚B区侏罗系碳酸盐岩气藏储层段物性较差,非均质性强,裂缝发育状况成为影响气井产能的关键因素。在裂缝分组的基础上,以分组裂缝特征为约束,采用相干分析和蚂蚁追踪等技术进行分组裂缝预测,预测结果与岩心资料及单井成像测井结果基本相似。经过研究分析认为,影响气井产能的主要因素是NW向的高/低角度缝的裂缝密度,为寻找潜在高产区域和生产调整提供了依据。Natural fractures played an important role for the productivity of carbonate reservoirs.The physical property of the Jurassic carbonate gas reservoir was poor with strong heterogeneity in Block B of Central Asian Area,the fracture growth was the key factor influencing the productivity of gas wells.Based on the fracture grouping and constrained by the grouping characteristics,the technologies of coherent analysis and ant tracking were used for fracture prediction,the predicted result was basically similar to those of the core data and single well image logging analysis.Study shows that the major factor influencing the gas well productivity was the fracture density with high/low angle in NW,it provides a basis for seeking the high production areas and for production adjustment.

关 键 词：裂缝分组 裂缝预测 裂缝密度 裂缝期次 

分 类 号：P631.44[天文地球—地质矿产勘探]