X-shaped real fracture channels-based simulation of coal seam gas seepage

SU Zhengrui; WEI Shanyang

doi:10.3969/j.issn.1001-1986.2020.06.015

Volume 48 Issue 6

Dec. 2020

Turn off MathJax

Article Contents

Abstract

References

COAL GEOLOGY & EXPLORATION > 2020 > 48(6): 109-115. > DOI: 10.3969/j.issn.1001-1986.2020.06.015

SU Zhengrui, WEI Shanyang. X-shaped real fracture channels-based simulation of coal seam gas seepage[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(6): 109-115. DOI: 10.3969/j.issn.1001-1986.2020.06.015

Citation:

SU Zhengrui, WEI Shanyang. X-shaped real fracture channels-based simulation of coal seam gas seepage[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(6): 109-115. DOI: 10.3969/j.issn.1001-1986.2020.06.015

Citation:

SU Zhengrui, WEI Shanyang. X-shaped real fracture channels-based simulation of coal seam gas seepage[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(6): 109-115. DOI: 10.3969/j.issn.1001-1986.2020.06.015

PDF (4791 KB)

X-shaped real fracture channels-based simulation of coal seam gas seepage

SU Zhengrui¹,
WEI Shanyang^1,2

1. Mining College, Guizhou University, Guiyang 550025, China;
2. Key Laboratory of Comprehensive Utilization of Non-metallic Mineral Resources in Guizhou Province, Guizhou University, Guiyang 550025, China

Funds:

Science and Technology Program of Guizhou Province(Qiankehezhicheng[2019]2887)

More Information

Received Date: July 12, 2020
Revised Date: October 21, 2020
Published Date: December 24, 2020

Graphical Abstract

Abstract

Abstract

In theudy of fracture structure, the image processing with conventional X-ray or CT scanning will be accompanied by a large number of secondary fractures, and the main fracture characteristics are not obvious, which can not directly reflect the relationship between fracture structure and fluid velocity. High definition camera is used to take X-shaped real cracks in coal wall for digital processing, and the characteristics of fractures are extracted by CAD software, and the images are vectorized into the model, the distribution nephogram of seepage velocity field and seepage pressure field is obtained by simulating software. The results show that from the entrance, the seepage pressure decreases from the left to the right, are evenly distributed in the fracture channels, the fracture area fully releases the pressure, which is a pressure buffer zone; the distribution of seepage velocity field in the rock mass is uneven, the seepage in the tributary area is more active than that in the confluence area, and the angle between the gas flow direction and the fracture direction has obvious influence on the seepage velocity. The maximum seepage velocity of gas in the same flow direction is 29.5 times. There is a logarithmic function relationship between the seepage velocity in the fracture channel and the fracture size. When the fracture size is 0.68-1.23 mm, the seepage velocity is most obvious. The research results could be used to understand the characteristic of gas seepage flow in coal fractures intuitively.
- X shape crack,
- gas seepage,
- numerical simulation,
- digital image recognition,
- slit channel

FullText(HTML)

References (23)

References

[1]	宋晓夏,唐跃刚,李伟,等. 基于显微CT的构造煤渗流孔精细表征[J]. 煤炭学报,2013,38(3):435-440 . SONG Xiaoxia,TANG Yuegang,LI Wei,et al. Advanced characterization of seepage pores in deformed coals based on micro-CT[J]. Journal of China Coal Society,2013,38(3):435-440
[2]	许江,袁梅,李波波,等. 煤的变质程度、孔隙特征与渗透率关系的试验研究[J]. 岩石力学与工程学报,2012,31(4):681-687 . XU Jiang,YUAN Mei,LI Bobo,et al. Experimental study of relationships between metamorphic grade,pore characteristics and permeability of coal[J]. Chinese Journal of Rock Mechanics and Engineering,2012,31(4):681-687
[3]	张驰,高新宇,王森,等. 煤层裂隙发育方向对瓦斯抽采效果影响的实验研究与应用[J]. 煤炭工程,2020,52(2):96-100. ZHANG Chi,GAO Xinyu,WANG Sen,et al. Experimental study and application of the influence of fracture development direction of coal seam on gas extraction effect[J]. Coal Engineering,2020,52(2):96-100.
[4]	钟志彬,邓荣贵,孙怡,等. 流纹岩天然裂隙网络几何特征分析[J]. 岩石力学与工程学报,2017,36(1):167-174. ZHONG Zhibin,DENG Ronggui,SUN Yi,et al. Geometric characterization of natural crack network in rhyolite[J]. Chinese Journal of Rock Mechanics and Engineering,2017,4(1):167-174.
[5]	刘德旺,刘洋,赵春虎,等. 泥岩全破坏过程中渗透特性试验研究[J]. 西安科技大学学报,2015,35(1):78-82. LIU Dewang,LIU Yang,ZHAO Chunhu. Experimental study on the characteristics of permeability in the all failure process of mudstone[J]. Journal of Xi'an University of Science and Technology,2015,35(1):78-82.
[6]	陈彦君,苏雪峰,王钧剑,等. 基于X射线微米CT扫描技术的煤岩孔裂隙多尺度精细表征:以沁水盆地南部马必东区块为例[J]. 油气地质与采收率,2019,26(5):66-72. CHEN Yanjun,SU Xuefeng,WANG Junjian,et al. Multi-scale fine characterization of coal pore-fracture structure based on X-ray micro-CT scanning:A case study of Mabidong Block,southern Qinshui Basin[J]. Petroleum Geology and Recovery Efficiency,2019,26(5):66-72.
[7]	何凯凯. 基于CT表征煤中多尺度孔裂隙发育特征[D]. 焦作:河南理工大学,2018. HE Kaikai. Characterization of multiscale pores and fissures in coal based on CT scan[D]. Jiaozuo:Henan university of science and technology,2018.
[8]	倪绍虎,何世海,汪小刚,等. 裂隙岩体渗流的优势水力路径[J]. 四川大学学报(工程科学版),2012,44(6):108-115. NI Shaohu,HE Shihai,WANG Xiaogang,et al. Preferential flow pathways in fractured rock mass[J]. Journal of Sichuan university(Engineering Science Edition),2012,44(6):108-115.
[9]	胡少斌. 多尺度裂隙煤体气固耦合行为及机制研究[D]. 徐州:中国矿业大学,2015. HU Shaobin. Study on gas-solid coupling behavior and mechanism of multi-scale fracture coal[D]. Xuzhou:China University of Mining and Technology,2015.
[10]	王登科,魏强,魏建平,等. 煤的裂隙结构分形特征与分形渗流模型研究[J]. 中国矿业大学学报,2020,49(1):103-109. WANG Dengke,WEI Qiang, WEI Jianping,et al. The fractal characteristics of fissure structure of coal and the fractal permeability model research[J]. Journal of China University of Mining & Technology,2020,49(1):103-109.
[11]	王登科,曾凡超,王建国,等. 显微工业CT的受载煤样裂隙动态演化特征与分形规律研究[J/OL]. 岩石力学与工程学报:1-10[2020-05-06]. WANG Dengke,ZENG Fanchao,WANG Jianguo,et al. Fractal characteristics of fracture structure and fractal seepage model of coal[J/OL]. Chinese Journal of Rock Mechanics and Engineering:1-10[2020-05-06].
[12]	王鹏宇. 基于格子Boltzmann方法岩体微裂隙渗流特性研究[D]. 昆明:昆明理工大学,2019. WANG Pengyu. Study on seepage characteristics of micro-fracture in rock mass based on lattice Boltzmann method[D]. Kunming:Kunming university of science and technology,2019.
[13]	程志恒,苏士龙,汪昕. 近距离煤层采动裂隙场BBM-DEM模拟研究[J]. 煤炭科学技术,2019,47(12):1-9. CHENG Zhiheng,SU Shilong,WANG Xin. Study on mining-induced fracture field of contiguous coal seam with BBM-DEM simulation[J]. Journal of coal science and technology,2019,47(12):1-9.
[14]	张钦刚. 煤岩粗糙裂隙结构渗流性质的实验与LBM模拟研究[D]. 北京:中国矿业大学(北京),2016. ZHANG Qingang. LBM-based numerical study and experimental investigation on the permeation behavior in fractured coal rock[D]. China University of Mining & Technology(Beijing),2016.
[15]	刘永茜. 煤体瓦斯运移的容阻效应分析[J]. 煤矿安全,2019,50(7):5-9. LIU Yongqian. Capacitive resistance effect analysis of gas migration in coal[J]. Safety in Coal Mines,2019,50(7):5-9.
[16]	李娜,任理. 连续时间随机游动理论模拟多孔介质中溶质运移的研究进展[J]. 水科学进展,2012,23(6):881-886. LI Na,REN Li. Continuous time random walk theory research progress of solute transport in porous media[J]. Advances in Water Science,2012,23(6):881-886.
[17]	付裕,陈新,冯中亮. 基于CT扫描的煤岩裂隙特征及其对破坏形态的影响[J]. 煤炭学报,2020,45(2):568-578. FU Yu,CHEN Xin,FENG Zhongliang. Characteristics of coal-rock fractures based on CT scanning and its influence on failure modes[J]. Journal of China Coal Society,2020,(2):568-578.
[18]	孙月龙,崔洪庆,关金锋.基于图像识别的煤层井下宏观裂隙观测[J]. 煤田地质与勘探,2017,45(5):19-22. SUN Yuelong,CUI Hongqing,GUAN Jinfeng. Image recognition-based observation of macro fracture in coal seam in underground mine[J]. Coal Geology & Exploration,2017,45(5):19-22.
[19]	马天然,刘卫群,陈兴. 基于图像识别的裂隙煤层气非Darcy渗流模拟[J]. 力学季刊,2013,34(3):494-500. MA Tianran,LIU Weiqun,CHEN Xing. Simulation of non-darcy gas flow in image-recognized real coal-bed fractures[J]. Chinese Quarterly of Mechanics,2013,34(3):494-500.
[20]	刘勇,崔洪庆. 基于裂隙形态特征的煤层图像裂隙识别研究[J]. 工矿自动化,2017,43(10):59-64. LIU Yong,CUI Hongqing. Research on coal-bed image fractures identification based on fracture shape characteristics[J]. Industrial and Mining Automation,2017,43(10):59-64.
[21]	房新亮,潘东.不同钻孔抽采参数下瓦斯运移规律研究[J]. 能源与环保,2019,41(11):43-46. FANG Xinliang,PAN Dong. Study on gas migration law under different borehole extraction parameters[J]. China Energy and Environmental Protection,2019,41(11):43-46.
[22]	盛金昌,刘继山,赵坚. 基于图像数字化技术的裂隙岩体非稳态渗流分析[J]. 岩石力学与工程学报,2006(7):1402-1407. SHENG Jinchang,LIU Jishan,ZHAO Jian. Analysis of transient fluid flow in fractured rock masses with digital image-based method[J]. Chinese Journal of Rock Mechanics and Engineering,2006(7):1402-1407.
[23]	王录合,赵春孝,姜振泉,等. 基于数字图像及数值模拟的裂隙岩体渗透特征[J]. 煤田地质与勘探,2016,44(1):100-102. WANG Luhe,ZHAO Chunxiao,JIANG Zhenquan,et al. Permeability characteristics of fractured rock based on digital image and numerical simulation[J]. Coal Geology & Exploration,2016,44(1):100-102.

[1]	WANG Jian, XU Jiafang, ZHAO Mifu, WANG Bowen, WANG Yahua, CHEN Jie, WANG Xiaohui, YANG Gang, MA Tengfei. Prediction of crack width of drilling fluid leakage based on neural network[J]. COAL GEOLOGY & EXPLORATION, 2023, 51(9): 81-88. DOI: 10.12363/issn.1001-1986.23.05.0240
[2]	YANG Dongdong, ZHAO Jiangpeng, GAO Xiaoliang. Test of near-horizontal drilling hydraulic reverse circulation coring in leakage formation[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(5): 262-268. DOI: 10.3969/j.issn.1001-1986.2020.05.033
[3]	CAO Xiaoyi, LIU Xiaoping, TIAN Yanzhe. Evaluation on influence of repeated coal mining on the stability and leakage of irrigation canal[J]. COAL GEOLOGY & EXPLORATION, 2018, 46(4): 93-98. DOI: 10.3969/j.issn.1001-1986.2018.04.015
[4]	JIN Xin. Study on electric field component imaging of leakage in pipeline using GPR[J]. COAL GEOLOGY & EXPLORATION, 2018, 46(2): 159-163. DOI: 10.3969/j.issn.1001-1986.2018.02.024
[5]	YANG Yu, TIAN Huijun, ZHANG Hao, SUN Hansen, CHEN Wangang. Solution and typical curves of seepage model of water-bearing coal seam with leakage recharge[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(1): 95-99. DOI: 10.3969/j.issn.1001-1986.2017.01.019
[6]	ZHANG Shuangbin, SU Xianbo, GUO Hongyu. Identifying method of leakage recharge in CBM wells[J]. COAL GEOLOGY & EXPLORATION, 2013, 41(5): 29-32. DOI: 10.3969/j.issn.1001-1986.2013.05.006
[7]	LAI Bailian, WU Junhu. Remote sensing investigation of Jincheng goaf and stability evaluation[J]. COAL GEOLOGY & EXPLORATION, 2011, 39(6): 32-35. DOI: 10.3969/j.issn.1001-1986.2011.06.008
[8]	LI Dong-lin, JIANG Zhen-quan, YANG Cang-xun, JIA Shi-lin. Chemical grouting technology for leakage-prevention of deep shaft wall rockwith high inclined angle and fine fissure[J]. COAL GEOLOGY & EXPLORATION, 2005, 33(4): 25-28.
[9]	Zhang Peihe, Hu Shaoxiang. STUDY ON THE ROCK MASS STABILITY IN COAL MINING[J]. COAL GEOLOGY & EXPLORATION, 1998, 26(S1): 10-13.
[10]	Wang Xin, Yang Yingtao. THE ANALYSIS OF WATER INRUSH CHARACTERISTICS BY VERTICAL LEAKAGE-CONDUCTION IN NORTH CHINA-TYPE COAL MINE[J]. COAL GEOLOGY & EXPLORATION, 1997, 25(S1): 42-44.

Cited By

Cited by

Periodical cited type(22)

1.	郭洋洋. 论一种实现煤矿地质测量信息透明化的方法. 内蒙古煤炭经济. 2025(03): 47-49 .
2.	何文斌. 煤矿巷道三维激光扫描测量精度研究. 内蒙古煤炭经济. 2025(04): 25-27 .
3.	陈晓伟，陈雷，李猛，胡成军，宋磊，袁鹏喆. 一种长巷道形变监测中轴线提取及断面构建方法. 工矿自动化. 2024(02): 35-41 .
4.	鞠哲. 综采工作面三维防爆巡检机器人设计及试验. 煤矿机械. 2024(04): 8-10 .
5.	王嘉伟，王海军，吴汉宁，吴艳，韩珂，程鑫，董敏涛. 基于三维地质建模技术的煤矿隐蔽致灾因素透明化研究. 工矿自动化. 2024(03): 71-81+121 .
6.	汪卫兵，侯学谦，赵栓峰，贺海涛，邢志中，路正雄. 基于残差优化的综采工作面煤壁点云补全方法. 工矿自动化. 2024(06): 120-128 .
7.	贾建龙，王志鹏，赵耀斌，刘飞，贾明超，高子龙，呼雨，陈利剑. 智能化矿用喷浆机器人研究及应用. 中国煤炭. 2024(07): 91-96 .
8.	薛旭升，杨星云，岳佳宁，王川伟，毛清华，马宏伟，王荣泉. 煤矿巷道空间毫米波雷达测量特性与重建方法. 煤田地质与勘探. 2024(10): 186-194 . 本站查看
9.	林舒萍，宋晓，张铃. 基于三维激光扫描技术的智能制造生产线目标检测研究. 激光杂志. 2024(10): 227-231 .
10.	徐鑫乾，李海涛，吴雪，李成，王红星，王海楠. 基于云模型的激光点云数据快速计算算法. 自动化技术与应用. 2024(11): 107-110 .
11.	刘敬东，李旭，郑志强，苟丙荣，韩维新，巩泽文. 激光SALM技术在煤矿巷道形变监测与支护中的应用. 矿山机械. 2024(12): 52-57 .
12.	袁林山，崔周烽，许长辉，薛松超. 典型地下空间穿戴式三维激光扫描精度分析. 导航定位学报. 2024(06): 76-83 .
13.	贾建称，贾茜，桑向阳，吴艳. 我国煤矿地质保障系统建设30年:回顾与展望. 煤田地质与勘探. 2023(01): 86-106 . 本站查看
14.	景宁波，马宪民，郭卫，秦学斌. 改进动态半径的矿井激光雷达点云滤波算法. 西安科技大学学报. 2023(02): 406-413 .
15.	常巧梅，杨静，阎跃观. 基于三维激光扫描技术的巷道变形测量方法. 煤炭技术. 2023(06): 30-32 .
16.	顾海荣，罗佳，高子渝，杨文娟，韩帅. 基于深度相机的大直径救援井三维模型重建研究. 煤田地质与勘探. 2023(05): 188-197 . 本站查看
17.	戴文祥，陈雷，闫鹏飞，王利欣，李波，袁鹏喆. 基于三维激光扫描的煤矿巷道形变监测方法. 工矿自动化. 2023(10): 61-67+95 .
18.	董兴旺. 从智能化共性问题看柳林煤矿智能化未来发展方向. 山西煤炭. 2022(02): 95-99 .
19.	杨洪涛，于印，许吉禅，沈梅，陆广慧. 基于线扫描原理的煤矿巷道变形测量系统. 工矿自动化. 2022(07): 113-117+148 .
20.	李梅，康济童，刘晖，李兆阳，刘曦，朱青，肖彬虎. 基于BIM与GIS的矿山巷道参数化三维建模技术研究. 煤炭科学技术. 2022(07): 25-35 .
21.	亓玉浩，关士远. 基于激光SLAM的综采工作面实时三维建图方法. 工矿自动化. 2022(11): 139-144 .
22.	俞艳波，李小松，苏海华，李琦，卢进宏. 便携式三维激光扫描技术在矿山地下巷道可视化建模中的应用. 北京测绘. 2022(12): 1702-1707 .

Other cited types(8)

Get Citation

PDF

XML

Article Metrics

Article views (155) PDF downloads (15) Cited by(30)

X-shaped real fracture channels-based simulation of coal seam gas seepage

Abstract

References

Related Articles

Cited by

Periodical cited type(22)

Other cited types(8)

Catalog

Article Metrics

Related

X-shaped real fracture channels-based simulation of coal seam gas seepage

Abstract

References

Related Articles

Cited by

Periodical cited type(22)

Other cited types(8)

Catalog

Article Metrics

Related

Export File

Citation

Format

Content