煤炭工程 ›› 2018, Vol. 50 ›› Issue (5): 82-86.doi: 10.11799/ce201805023

• 生产技术 • 上一篇    下一篇

小尺度范围内煤层气井产能主控因素分析

唐军1,杨兆彪1,杨艳磊2,张争光1,刘帅帅1   

  1. 1. 中国矿业大学资源与地球科学学院
    2. 中国石油华北油田分公司勘探开发研究院
  • 收稿日期:2017-06-20 修回日期:2017-08-08 出版日期:2018-05-20 发布日期:2018-06-14
  • 通讯作者: 唐军 E-mail:18252431216@163.com

Analysis on main control factors for production of CBM wells on a smaller scale: a case study on Zhengcun well, Fanzhuang block

  • Received:2017-06-20 Revised:2017-08-08 Online:2018-05-20 Published:2018-06-14

摘要: 为探究小尺度范围内煤层气井产能的地质主控因素,采用地质分析和灰色关联分析的方法,对郑村井区26口5年以上的煤层气生产井的地质及排采资料进行了深入系统分析。结果显示:煤层气井产能与埋深呈负相关关系,随煤厚增加呈波动上升趋势,与煤储层含气量、渗透率和可疏导指数均为正相关关系,埋深、煤厚、含气量、渗透率和可疏导指数均是控产的主要因素。进一步利用灰色关联分析法确定了各控产因素对煤层气井产能影响的大小次序,结果由大到小依次为:可疏导指数、含气量、渗透率、厚度、埋深。结果表明,可疏导指数综合表征了煤层气产出过程中气水的流动能力,可更好的反映小尺度范围内煤层气井的产能潜力。同时,煤层气井产能是多种地质因素耦合控制的结果,单一地质因素对产能影响的差距并不明显。

关键词: 煤层气, 产能, 地质因素, 主控因素

Abstract: In order to explore the main geologic controlling parameters on CBM wells productivity in small scale, deeply analysis on geologic and drainage data of 26 CBM wells are carried out, employing geological analysis and gray correlation analysis. The results show that deliverability of CBM wells has a good relationship with burial depth, coal thickness, gas content, permeability and dredging index, which are main controlling factors, then the order of importance of five geology factors is obtained by using gray correlation analysis, the correlation degree in decreasing order: dredging index, gas content, permeability, coal thickness, burial depth. Dredging index can better reflect potential capacity of CBM wells for characterizes gas-water flow capacity synthetically. Meanwhile, the deliverability of CBM wells is controlled by the coupling of various geological factors, and there is no obvious gap on productivity influences of any single geological factor.

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