西南石油大学学报(自然科学版)

• 地质勘探 • 上一篇    下一篇

井间河道砂体的井震结合法精细解剖刻画

夏世强1,刘景彦1,邓纪梅1,李全2,高达1   

  1. 1. 中国地质大学(北京)能源学院,北京海淀100083;2. 中国海洋石油研究总院海外评价中心,北京东城100027
  • 出版日期:2013-08-01 发布日期:2013-08-01
  • 基金资助:

    自然科学基金项目(40972081)。

River Channel Sand Body Prediction by Integrating Well Log and Seismic
Attributes Analysis in Dense Well Pattern

  1. Xia Shiqiang1, Liu Jingyan1, Deng Jimei1, Li Quan2, Gao Da1
  • Online:2013-08-01 Published:2013-08-01

摘要:

随着大庆油田萨北开发区开发程度的加深,储层非均质性矛盾日益严重,在密集的井网条件下如何有效预测
井间河道砂体展布已成为提高采收率的关键问题。以大庆萨北开发区北二西区块为例,在多学科综合思想的指导下,
充分利用井震结合的方法刻画河道砂体平面展布特征。在地震地质层位追踪的前提下沿参考层分别向上向下开取一
定的时窗提取多种地震属性,以反距离加权平均法提取井点属性,利用某商业软件的二维聚类分析及作者研究的线性
回归分析与聚类分析方法评价地震属性与井点处储层参数的相关性。研究认为,该方法可用于优选刻画河道砂体的
地震属性。在此基础上,结合井数据的纵向优势与地震属性的横向优势编制了目的层段的河道砂体平面展布图。

关键词: 井震结合, 地震属性, 相关性分析, 河道砂体, 大庆油田

Abstract:

As the development areas in east China have been in the phase of super-high water cut period,the distribution of
remaining oil gradually becomes increasingly complex. In order to figure out the reasons which control the distribution of
the remaining oil,the effective prediction of the distribution of interwell river channel sand body has become an urgent issue
in EOR(enhanced oil recovery). Seismic microfacies mapping can be time consuming,even if only a basic overview of the
microfacies distribution is needed. In this paper,based on the high resolution well log and seismic data,a study of interwell
microfacies with the help of high resolution well log and 3-D seismic data in Sabei development area was carried out. Seismic
attributes were extracted on the premise of seismic horizon tracing in a dense well pattern and the seismic attributes on wells
were determined by inverse distance weighted mean method. The clustering procedure correlation analysis method,the linear
and multivariate statistical correlation analysis between seismic attributes and well log data were used to deduce relationships
between seismic data and reservoir physical information(including effective thickness,distribution of sedimentary facies).
Finally,we demonstrate the possibility of using multi-attribute results to foster an understanding of depositionally oriented
trends in interwell river channel sand body distribution that have been observed in the buildups we got in the analysis. Then the
planar map of depositional microfacies distribution was mapped with the result of well-seismic data and it would lead us a new
understanding of how to find remaining oil.

Key words: integration of well logs and seismic data, seismic attributes, correlation analysis, river channel sand body, Daqing
Oilfield