石油学报 ›› 2010, Vol. 31 ›› Issue (6): 966-969.DOI: 10.7623/syxb201006015

• 油田开发 • 上一篇    下一篇

高煤阶煤层气储层动态渗透率特征及其对煤层气产量的影响

陈振宏  陈艳鹏  杨焦生  邓  泽  赵玉红  王一兵   

  1. 中国石油勘探开发研究院廊坊分院  河北廊坊  065007
  • 收稿日期:2010-02-06 修回日期:2010-05-28 出版日期:2010-11-25 发布日期:2011-01-20
  • 通讯作者: 陈振宏
  • 作者简介:陈振宏,男,1979年5月生,2007年获中国科学院广州地球化学研究所博士学位,现为中国石油勘探开发研究院廊坊分院高级工程师,主要从事石油天然气地质及煤层气地质方面的研究。
  • 基金资助:

    国家重点基础研究发展规划(973)项目(2009CB219607)和中国石油天然气股份公司重大专项(2008E-050601)联合资助。

Reservoir dynamic permeability of high rank coalbed methane and its effect on the coalbed methane output

CHEN Zhenhong  CHEN Yanpeng  YANG Jiaosheng  DENG Ze  ZHAO Yuhong  WANG Yibing   

  • Received:2010-02-06 Revised:2010-05-28 Online:2010-11-25 Published:2011-01-20

摘要:

通过开展干样煤储层地质效应实验,结合数值模拟方法,研究了煤储层渗透率动态变化特征及其对煤层气井产能的影响。实验结果证明,煤储层渗透性在开发过程中呈不对称“U”型变化,初期以应力敏感性为主,随着开发进程深入,基质收缩效应逐步增强。当压力从2 MPa增加到10 MPa时,气相渗透率降低90%;应力降低后,渗透率不能恢复到原始水平。P&M渗透率模型模拟结果说明,渗透率初期减小,后期增大;压力降至临界解吸压力4.4 MPa时,渗透率降低了34%;继续降压至2.5MPa时,渗透率提高至初始水平,压力递减至0.7 MPa时,渗透率增至初始渗透率的2.8倍。同时,煤储层地质效应严重影响煤层气井产能。因此,煤层气生产应以渗透率动态变化为依据,不断进行调整和优化。

关键词: 煤储层, 地质效应, 基质收缩, 渗透率模型, 数值模拟

Abstract:

Through reservoir geologic effect experiments of dry-coal samples and numerical simulation, the present paper studied dynamic variations in CBM reservoir physical properties and their negative influence on the CBM development. The results showed that variations in the CBM reservoir permeability were characteristic of a “U” form during the CBM development, the stress sensitivity was dominant at the beginning and the matrix shrinkage effect increased gradually as the development proceeded. The gas permeability decreased by 90% when the pressure increased from 2MPa to 10MPa, and the permeability could not recover completely even if the stress decreased. The numerical simulation by a P&M permeability model indicated that the permeability declined first and then ascended. When the pressure dropped to the critical point of desorption pressure (4.4MPa), the permeability decreased by 34%; then the permeability began to rebound to the initial value as the pressure decreased to 2.5MPa; finally the permeability increased by 2.8 times of the initial value as the pressure decreased to 0.7MPa. Moreover, a lower primary permeability and its reservoir geologic effect strongly influenced the deliverability of a CBM well, so the CBM production should be incessantly adjusted and optimized according to dynamic variations in the reservoir permeability.

Key words: coalbed reservoir, geologic effect, matrix shrinkage, permeability model, numerical simulation