多属性分析技术在低渗储层预测中的应用

2016年 36卷 第1期
阅读:150
查看详情
Application of Multiple Seismic Attributes Analysis to Prediction of Low Permeability Reservoir
孙晓晖 方小宇 叶青 彭文丰 孔令辉
SUN Xiaohui FANG Xiaoyu YE Qing PENG Wenfeng KONG Linghui
中海石油(中国)有限公司湛江分公司研究院, 广东湛江 524057
Research Institute of Zhanjiang Branch, CNOOC Ltd, Zhanjiang 524057, China
针对文昌A油田珠江组一段三油组储层物性差、地震纵向追踪精度低的特点,利用地震属性提取、聚类分析技术,优选与储层参数相关性较高的地震属性进行砂体平面刻画。分析结果表明均方根振幅、最小振幅等地震属性与储层厚度、储层孔隙度等储层参数有很好的相关性,通过参数相关关系进行沉积微相精细刻画,对低渗油藏开发调整与挖潜具有重要指导意义。
The reservoir of Sand Set-3 of Member-1 of Zhujiang Formation is very poor in physical property in Wenchang A Oilfield, with low longitudinal tracing accuracy in seismic section. Fine description has been conducted on plain distribution of sand bodies by abstracting and clustering seismic attributes, and optimizing seismic attributes which are highly related with reservoir parameters. According to the analyzing results, it is concluded that the seismic attributes, such as RMS-amplitude and min-amplitude, are highly related with reservoir parameters such as reservoir thickness and porosity. The sedimentary microfacies can be described finely by using the relationship among the parameters. This technology is very significance in guiding the development and adjustment of low permeability reservoirs and digging the development potential of this kind of reservoirs.
属性提取; 属性聚类; 储层预测; 低渗;
attribute abstract; attribute cluster; reservoir prediction; low permeability;
https://doi.org/10.3969/j.issn.1008-2336.2016.01.028