首页 | 官方网站   微博 | 高级检索  
     

地震资料在密井网区井间砂体预测中的应用研究——以松辽盆地北部杏树岗地区杏X区为例
引用本文:张广权,张守成. 地震资料在密井网区井间砂体预测中的应用研究——以松辽盆地北部杏树岗地区杏X区为例[J]. 内蒙古石油化工, 2013, 0(17): 132-135
作者姓名:张广权  张守成
作者单位:[1]中国石化石油勘探开发研究院,北京100083 [2]密苏里科技大学,美国罗拉65401
摘    要:松辽盆地北部杏树岗油田面临的主要问题是沉积微相和主力砂体的空间展布复杂,给油田的整体开发造成很大的困扰。以杏X区块为例,综合利用地震、地质和测井资料,研究垂向和平面沉积微相的展布特征和预测井间砂体的分布。利用井震高分辨率层序地层划分与对比技术、沉积学导向储层对比技术的基础,提取多种地震属性,通过采用聚类分析方法对提取的井点地震属性和井点储层参数进行多元统计相关性分析,预测井间砂厚及含砂率等储层参数的变化,由此编制出目的层段的沉积微相平面展布图。通过聚类分析,表明地震属性中均方根振幅、弧长和平均反射强度三种属性与储层参数的相关性最好。在两个井点间插入一个属性点(虚拟井点),利用相关方程计算出地震属性点的储层参数(含砂率或者砂岩厚度)。研究区加上虚拟井点后总井数增加为为637口,井距相应的由300m缩小为150m,研究表明地震资料的应用可以更精细、准确、定量地预测和反映沉积微相展布特征和井间砂体的分布,从而为油田下一步加密井的部署及剩余油分布规律研究奠定基础。

关 键 词:密井网区  沉积微相  地震属性  相关性分析

The Application Research of seismic data to Predict Interwell Reservoir in Dense Spacing Area
Abstract:Main problems in Xingshugang oil field of North Songliao Basin are that the spatial distri- bution of microfacies and sand is very complex. And these bring about many disturbances during develop- ing. With SongLiao basin Xingshugang Xing X region for example,making use of seismic, geology and log- ging data, researching the characteristic of the areal and vertical microfacies. Making use of high resolution sequence stratigraphy division and correlation technology and reservoir correlation technology, extracting the different attributes. By clustering, analysising multivariate correlation between seismic attributes and reservoir parameters. And predicting the change of sand thickness and sand factor? and so drawing up? the ?microfacies distribution map. Cluster analysis showed that RMS,ARC and average reflection strength'co- herence is the best with the reservoir parameters. Inserting a attribute point at two well point,calculating their value. Thus estimating the sand thickness and the sand rate. Research result demonstrates, the num- ber of original well is 307, combining seisimic data analysis,the number is 637. the well spacing reduce to 150 meters from 300 meters. The results show that the application of seismic data can be more precise, ac- curate, quantitatively forecasting and reflecting the characteristics of sedimentary facies distribution and the distribution of sand bodies between wells. So these settle the base of deploying the well location and the research of remaining oil.
Keywords:Dense spacing area  Sediment mircofacies  Seismic attribute  Correlation analysis
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号