石油学报 ›› 2010, Vol. 31 ›› Issue (2): 270-273.DOI: 10.7623/syxb201002015

• 油田开发 • 上一篇    下一篇

地球化学技术在天然气流动单元研究中的应用 ——以邛西须二气藏为例

黄 东 1 戴鸿鸣 2 杨跃明 3 弋 戈 3 王应容 3 杜 诚 3 杨 毅 3   

  1. 1中国石油西南油气田公司勘探开发研究院 四川成都 610051; 2西南石油大学 四川成都 610500; 3中国石油西南油气田公司川西北气矿 四川江油 621709
  • 收稿日期:2009-03-13 修回日期:2009-06-17 出版日期:2010-03-25 发布日期:2013-10-31
  • 通讯作者: 黄 东

Application of geochemical characteristics on natural gas flow units: Taking T3x2 gas reservoir in Qiongxi area as an example

HUANG Dong 1 DAI Hongming 2 YANG Yueming 3 YI Ge 3 WANG Yingrong 3 DU Cheng 3 YANG Yi 3   

  • Received:2009-03-13 Revised:2009-06-17 Online:2010-03-25 Published:2013-10-31
  • Contact: HUANG Dong

摘要:

为了有效划分非均质性较强的致密砂岩储层流动单元和碳酸盐岩储层流动单元,在前人研究的基础上,从储层内流体提供的流动单元信息出发,以邛西须二气藏为例,在同一流动单元内流体应具有相同或相似的地球化学特征原理的指导下,采用聚类分析、因子分析、交会分析等多元统计分析方法将邛西须二气藏划分为4个流动单元,分别为北断垒流动单元、南断高流动单元、西翼鼻突流动单元和邛西12井区流动单元。划分结果与生产特征吻合,且此方法能及时检测和评价流动单元的变化,为开发方案的及时调整提供依据。

关键词: 致密砂岩, 碳酸盐岩, 流动单元, 地球化学特征, 邛西须二气藏, 多元统计分析

Abstract:

In order to effectively classify the flow units of the tight sandstone reservoirs with strong heterogeneity and the carbonate reservoirs,according to the information of flow units in gas reservoir and the principle of the same or similar geochemical characteristics of flows in one identical flow unit, the T3x2 gas reservoir in Qiongxi area was divided into four flow units using the factor analysis, clustering analysis and cross plot method. The four flow units include the north fault horst flow unit, the south fault high-flow unit, west wing nasale flow unit and No.12 well flow unit in Qiongxi area. The demarcation results fit the production performance of this area. The method can also be used to detect and evaluate the change of flow units, which can offer the reference to gas field development program. The real application proved that the geochemical characteristics of flows are useful to demarcate gas flow units in gas field.

Key words: tight sandstone, carbonate reservoir, flow unit, geochemical characteristics, T3X2 gas reservoir of Qiongxi area, multivariable statistical analysis