天然气地球科学

• 天然气地质学 •    下一篇

多元隶属函数在致密砂岩储层分类中的应用

赵军,曹刚,武延亮   

  1. 西南石油大学地球科学与技术学院,四川 成都 610500
  • 收稿日期:2018-06-15 修回日期:2018-09-20 出版日期:2018-11-10
  • 作者简介:赵军(1970-),男,四川成都人,教授,博士,主要从事油气测井、地质研究.E-mail:zhaojun_70@126.com.
  • 基金资助:
    国家“十二五”科技重大专项“特低渗透油藏有效开发技术”(编号:2011ZX05013-006-008)资助.

Application of multivariate membership function for tight sandstone reservoir classification

Zhao Jun,Cao Gang,Wu Yan-liang   

  1. School of Geoscience and Technology,Southwest Petroleum University,Chengdu 610500,China
  • Received:2018-06-15 Revised:2018-09-20 Online:2018-11-10

摘要: 不同于常规砂岩储层,致密砂岩储层孔隙结构更为复杂,单靠孔隙度或渗透率等单一参数难以有效划分储层。由于单参数在划分储层方面存在困难,因此引入多个能表征储层特性的参数综合评价致密砂岩气储层。以塔里木盆地克拉苏西部气田为例,压裂后,储层按照气井产能可分为4类,结合储层特点,选用斯通利波时差、斯通利波渗透率、反射系数和孔隙度参数可以较灵敏地反映储层孔隙和裂缝的发育情况,将这4个参数作为致密砂岩气藏储层评价判别集,引入一种基于模糊数学的多元隶属函数的方法来划分致密砂岩气储层,可以明显划分出这4类储层。


关键词: 致密砂岩储层, 多元隶属函数, 储层分类, 测井参数, 地层产能

Abstract: Different from the conventional sandstone reservoirs,the pore structure of tight sandstone reservoirs is more complex,and it is difficult to divide the reservoirs by a single parameter such as porosity or permeability.Due to the difficulty of single-parameter in reservoir classification,multi parameters that can describe reservoir characteristics have been integrated to evaluate tight sandstone gas reservoirs.Take western Kelasu Gas Field in Tarim Basin as an example,after fracturing,reservoirs can be divided into four types according to gas well productivity.And combined reservoir characteristics,the stoneley slowness,stoneley permeability,reflection coefficient and porosity can be used to reflect the development of reservoir pores and fractures more sensitively.These four parameters are used as discriminant sets for reservoir evaluation of tight sandstone gas reservoirs.So a method named multivariate membership function which based on fuzzy mathematics is introduced to divide tight sandstone gas reservoirs,which clearly distinguish these four types of reservoirs.

Key words: Tight sandstone reservoir, Multivariate membership grade function, Reservoir classification, Logging parameters, Formation productivity

中图分类号: 

  • TE122.2
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