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子洲气田二叠系山2气藏气井产能影响因素分析

唐凯 周妮妮 樊绪永 梁亚军

物探化探计算技术2012,Vol.34Issue(6):723-728,6.
物探化探计算技术2012,Vol.34Issue(6):723-728,6.DOI:10.3969/j.issn.1001-1749.2012.06.17

子洲气田二叠系山2气藏气井产能影响因素分析

ANALYSIS ON THE FACTORS INFLUENCING THE GAS WELL PRODUCTIVITY OF S2 GAS POOL IN PERMIAN OF ZIZHOU GAS FIELD

唐凯 1周妮妮 2樊绪永 3梁亚军4

作者信息

  • 1. 成都理工大学 管理科学学院,成都610059
  • 2. 成都理工大学 能源学院,成都610059
  • 3. 西安长庆科技工程有限责任公司,西安710021
  • 4. 长庆油田公司第三采油厂,银川750000
  • 折叠

摘要

Abstract

Due to the complex geological condition and changeable productivity, there are many factors effect on the productivity in low porosity and low permeability reservoir. It is difficult to predict productivity. Aiming at this problem and based on the data of sixteen wells of s2 gas pool of Zizhou gas field, 10 factors affecting the productivity are selected by using open flow potential as a evaluation index of the gas well productivity. Then we found the key factors by using the methods of grey slope relational analysis, principal component analysis and R cluster analysis. Although there are some differences in the key factors, effective thickness, gas saturation, storage coefficient and formation coefficient are in front. Finally comprehensive analysis indicates that the key factors effecting on the gas well productivity of the reservoir include effective thickness, gas saturation, storage coefficient and formation coefficient. This conclusion has some directive significances for wells and layers selection, fracturing design and fracturing operation.

关键词

子洲气田/气井产能/灰色斜率关联/主成份分析/R型聚类分析

Key words

Zizhou gas field/ gas well productivity/ grey slope relational analysis/ principal component analysis/ R cluster analysis

分类

能源科技

引用本文复制引用

唐凯,周妮妮,樊绪永,梁亚军..子洲气田二叠系山2气藏气井产能影响因素分析[J].物探化探计算技术,2012,34(6):723-728,6.

基金项目

国家科技重大专项支持(2008ZX05044) (2008ZX05044)

物探化探计算技术

OACSCDCSTPCD

1001-1749

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