石油与天然气地质 ›› 2008, Vol. 29 ›› Issue (6): 812-818.doi: 10.11743/ogg20080617

• 目次 • 上一篇    

基于毛管压力曲线的储层渗透率估算模型—以塔里木盆地上泥盆统某砂岩组为例

童凯军, 单钰铭, 王道串, 杨露, 陈文玲   

  1. 成都理工大学"油气藏地质与开发工程"国家重点实验室,四川 成都 610059
  • 收稿日期:2008-04-08 出版日期:2008-12-24 发布日期:2012-01-16

CP-curve-based model for estimating reservoir permeability:an example from a sandstone of the Upper Devonian in Tarim Basin

Tong Kaijun, Shan Yuming, Wang Daochuan, Yang Lu, Chen WenLing   

  1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, ChengDu University of Technology, Chengdu 610059, China
  • Received:2008-04-08 Online:2008-12-24 Published:2012-01-16

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摘要：

渗透率是反映储层渗流能力的重要参数。目前对于储层渗透率的获取主要是基于室内岩心分析,但它又受取心及测试成本的限制。另外,其它常规渗透率解释模型也有预测误差较大的缺陷,难以满足油气田勘探开发的要求。毛管压力曲线表征了储层岩石孔喉大小和分布,大多数情况下,岩石绝对渗透率主要取决于孔喉分布。由此,在前人提出的大量经验公式的基础上,根据一种反映理想岩石孔隙结构的毛细管束模型和达西渗流理论,利用压汞曲线实验数据资料推导出了一种储层岩石渗透率的计算公式,建立了一种新的渗透率估算模型。通过塔里木盆地上泥盆统某砂岩段的实例实践表明,用该模型估算的渗透率与岩心实测渗透率值符合较好。

关键词: 渗透率, 毛管压力曲线, 孔喉分布, 估算模型, 塔里木盆地

Abstract:

Permeability is a key parameter which reflects the seeping capacity of a reservoir.However,reservoir permeability is currently obtained mainly through laboratory core analysis and is confined because of coring and testing cost limits.Other conventional permeability models also have the disadvantage of relatively large errors and can hardly meet the requirements of oil & gas field exploration and development.The pore throat size and distribution of reservoir rocks can be characterized by capillary pressure curves.In most cases,the absolute per-meability of rocks mainly depends on the distribution of pore throats.Based on many previous empirical formu-las,a capillary huddle tube model that simulates ideal pore structure,and the Darcy flow theory,this paper puts forward a formula of reservoir permeability by using intrusive mercury curves.Its application to a sandstone layer of the Upper Devonian in Tarim Basin shows that the predicted and measured permeability coincides well.

Key words: permeability, capillary pressure curve, distribution of pore throat, estimation model, Tarim Basin

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