摘要
东部大庆地区SN油田井网经过四次加密调整,井网密度已经达到53口/km2,仍存在井间砂体连通关系复杂、井间微幅度构造无法细致描述等诸多问题。本文以地质统计学协模拟技术、蚂蚁体追踪和曲率体属性等多种技术为研究手段在萨一油水过渡带及试验区内进行综合分析研究,针对试验区优选出地质统计学SP协模拟技术,可在高密度井网区能够达到识别1m以上储层的能力。曲率属性可以反映常规技术难以对比、追踪的微幅度构造,蚂蚁体属性与井信息的综合分析突出了其他方法不能识别的、与微细小断层有关的线状特征。综合应用以上技术能够较好地识别3~5m微断层和3~5m的微幅度构造,有效识别1~3m薄储层。
After four time infilling adjustments in SN Block of Daqing Oil Field,currently well density has reached 53 wells/km2.But some difficulties still remained,such as sand distribution relationship between wells is unclear,micro-relief structures between wells cannot be characterized,and so on.According to the special geological condition and actual data,multiple methods are adopted such as geological statistical association simulation,ant tracking method and 3D curvature properties to study in the oil-water transition zone in the test area.SP association simulation technique was optimized to identify one-meter thickness reservoir.Micro-relief structures between wells could be reflected by curvature properties and ant-tracking attribute jointing wells information can identify subtle fault features.Application of these multi-methods can identify micro-faults and micro-structures,and subtle reservoirs.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2011年第A01期106-110,163+172,共5页
Oil Geophysical Prospecting
关键词
微幅度构造
曲率属性
井间砂体预测
波形聚类分析
蚂蚁追踪
micro-relief structures between wells,curvature properties,prediction of sand distribution between wells,waveform classification,ant-tracking method