节点文献

融合多种地震属性的沉积微相研究与储层建模

Sedimentary microfacies studies and reservoir modeling by integration of multiple seismic attributes

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 陈建阳田昌炳周新茂王辉

【Author】 Chen Jian-yang1,Tian Chang-bing1,Zhou Xin-mao1 and Wang Hui11.Research Institute of Petroleum Exploration and Development,Petrochina,Beijing City,100083,China

【机构】 中国石油勘探开发研究院

【摘要】 本文以大庆长垣X56区块为例,通过综合利用多种地震属性、地质、测井、岩心以及动态信息,提出了一种在密井网条件下应用多种地震属性进行井间储层预测、沉积微相研究及储层建模新思路:首先采用井属性提取与聚类分析技术,建立地震参数与储层砂体厚度参数之间的转换关系式,通过井、震结合开展沉积微相研究;然后利用变差函数分析工具进行空间结构性分析,采用二维趋势约束的序贯指示模拟算法,将从沉积相图中提取的相带边界作为量化约束条件参与建模过程;最终建立一套由动态生产数据验证的完全定量化的三维储层地质模型。研究实例表明,三维储层地质模型在纵向上指示了岩心、测井信息反映的储层垂向变化特征,在平面上反映了地震数据的连续性信息,使得平面沉积微相展布研究更为精确。

【Abstract】 In the case study of X56 well Black in Daqing Oilfield,through integrated utilization of multi kinds of information,such as seismic attributes,geology,drilling,cores and performance data,a new idea of cross-well reservoir prediction,depositional microfacies studies and reservoir modeling under the dense well pattern was proposed in this paper.At first the well attribute extraction and cluster analysis technique were used to establish the relationships between the seismic parameters and the reservoir thickness parameters,and to conduct depositional microfacies studies by integration of well and seismic;then by using variogram analysis tool to conduct spatial structure analysis,and by using 2D trend constrained sequential indicator simulation algorithm the phase band boundary extracted from the sediment facies maps was taken as quantitative constraint conditions in the modeling process;finally,a set of 3D fully quantitative reservoir geological model which was verified by performance production data was established.The study example shows that the 3D reservoir geological model could indicate not only the vertically changed characterictics reflected by cores data and well logging data,but also the lateral continuous information of the seismic data,making the depositional microfacies distribution studies more accurate.

【基金】 高等学校博士学科点专项科研基金(20050491001)资助
  • 【文献出处】 石油地球物理勘探 ,Oil Geophysical Prospecting , 编辑部邮箱 ,2011年01期
  • 【分类号】P618.13
  • 【被引频次】28
  • 【下载频次】1007
节点文献中: 

本文链接的文献网络图示:

本文的引文网络