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柳林地区煤层渗透率影响因素及模糊综合评价
引用本文:李玲,汤达祯,许浩,孟艳军,喻廷旭.柳林地区煤层渗透率影响因素及模糊综合评价[J].洁净煤技术,2013(5):105-111.
作者姓名:李玲  汤达祯  许浩  孟艳军  喻廷旭
作者单位:中国地质大学(北京)能源学院,北京100083
基金项目:国家自然科学基金资助项目(41272175);国家科技重大专项资助项目(2011ZX05062~01;2011ZX05034-001)
摘    要:煤储层渗透性是寻找煤层气有利开发的关键参数之一。本文通过对柳林地区煤层渗透性深入研究,并结合大量煤层气田勘探开发资料分析了影响柳林地区煤层渗透率的两大因素:煤体条件(煤的原生孔结构、煤体裂隙结构、煤体结构)、煤层赋存条件(埋深、地应力、储层压力)。针对该区多煤层区域上渗透率变化较大的情况,应用多层次模糊综合评判法建立了该区煤层渗透性评价指标体系。利用渗透性模糊综合评判数学模型,对煤层进行了渗透性模糊综合评价,得出了该煤层渗透率为中等级别,评价结果与实测结果相符,为寻找渗透性较好的矿区或井田提供了新的预测方法。

关 键 词:渗透率  影响因素  煤体条件  煤层赋存条件  多层次模糊综合评价

Influencing factors of Liulin coal seam permeability and its fuzzy comprehensive evaluation
LI Ling,TANG Dazhen,XU Hao,MENG Yanjun,YU Tingxu.Influencing factors of Liulin coal seam permeability and its fuzzy comprehensive evaluation[J].Clean Coal Technology,2013(5):105-111.
Authors:LI Ling  TANG Dazhen  XU Hao  MENG Yanjun  YU Tingxu
Affiliation:( School of Energy Resources, China University of Geosciences (Reijing) , Beijing 100083, China)
Abstract:Coal reservoir permeability is one of the crucial parameters for favorable coalbed methane development zone. Through analysis of the coal seam permeability of Liulin area and a large number of coal seam gas exploration and production information, conduct two major factors influencing the local coal seam permeability, which are coal body itself condition (primary pore structure, fracture of coal body structure, coal body structure) and coal seam saves conditions (depth, the crustal stress, the reservoir pressure). According to the permeability of multiple coal seam changes greatly in this area, apply multi-level fuzzy comprehensive evaluation method to establish the coal seam permeability evaluation index system. Based on the mathematical model of fuzzy comprehensive evaluation of permeability, this area is established the fuzzy comprehensive evaluation of permeability. Based on the evaluation results, the coal seam permeability of Liulin area is on the level of medium, the evaluation results are consistent with the measured results, which offer a new method to predict permeability level of ore district or mining area.
Keywords:permeability  influencing factors  coal characteristics  saves conditions  multi-level fuzzy comprehensive evaluation
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