Coal Geology & Exploration
Abstract
The intelligent accurate coal mining needs to construct the high-precision and transparent 3D geological model, and the seismic data interpretation integrated into the dynamic roadway data provide data support for the model. The geological model of roadway is established and forward modeling is carried out to analyze the difference of seismic characteristics caused by a roadway. Based on curvature attribute principle, various seismic curvature attributes were applied to seismic data interpretation, guide the roadway recognition in the seismic data. The coal seam 2 of CJT coalfield was selected as the research object, and the high-quality seismic data and various attribute bodies were obtained from 3D seismic exploration were used as the basic data.. Analysis found that the along-layer slices of the dip curvature attributes could depict completely the characteristics of the roadway anomalies showed the accurate position of the roadway, the clear boundary, had the higher precision. The research showed the feasibility and the effectiveness of the seismic dip curvature attribute technique for the recognition of the roadway. It provides a basis for detecting and identifying unknown roadway and the geological guarantee for the precise coal mining.
Keywords
dip curvature attribute, roadway recognition, attribute analysis, 3D seismic exploration, Ordos basin
DOI
10.3969/j.issn.1001-1986.2020.05.024
Recommended Citation
S.
(2020)
"Application of the dip curvature attributes in the recognition of coal roadway,"
Coal Geology & Exploration: Vol. 48:
Iss.
5, Article 25.
DOI: 10.3969/j.issn.1001-1986.2020.05.024
Available at:
https://cge.researchcommons.org/journal/vol48/iss5/25
Reference
[1] 程建远,朱梦博,王云宏,等. 煤炭智能精准开采工作面地质模型梯级构建及其关键技术[J]. 煤炭学报,2019,44(8):2285-2295. CHENG Jianyuan,ZHU Mengbo,WANG Yunhong,et al. Cascade construction of geological model of longwall panel for intelligent precision coal mining and its key technology[J]. Journal of China Coal Society,2019,44(8):2285-2295.
[2] 程建远,孙洪星,赵庆彪,等. 老窑采空区的探测技术与实例研究[J]. 煤炭学报,2008,33(3):251-255. CHENG Jianyuan,SUN Hongxing,ZHAO Qingbiao,et al. The detection technology of excavated region in coal mine and case study[J]. Journal of China Coal Society,2008,33(3):251-255.
[3] 单蕊,李元杰. 地震多属性分析技术在小煤窑采空区探测中的应用研究[J]. 煤矿开采,2014,19(5):23-25. SHAN Rui,LI Yuanjie. Application of seismic multi-attribute analysis technology in small colliery gob detection[J]. Coal Mining Technology,2014,19(5):23-25.
[4] 朱红娟. 三维地震属性解释技术在巷道探测中的应用[J]. 煤田地质与勘探,2015,43(4):90-93. ZHU Hongjuan. Application of 3D seismic attribute interpretation technology in the detection of roadway[J]. Coal Geology & Exploration,2015,43(4):90-93.
[5] 石瑜,刘文明. 三维地震勘探技术在小窑采空区探测中的应用[J]. 工程地球物理学报,2018,15(5):573-579. SHI Yu,LIU Wenming. Application of 3d seismic prospecting to small coal mined-out area[J]. Chinese Journal of Engineering Geophysics,2018,15(5):573-579.
[6] 杨辉. 谱分解技术在老窑巷道识别中的应用[J]. 能源与环保,2017,39(8):19-23. YANG Hui. Application of spectrum decomposition technique in old roadway identification[J]. China Energy and Environmental Protection,2017,39(8):19-23.
[7] 王丹. 三维地震多属性解释在东庞矿采空区识别方法[J]. 煤炭与化工,2018,41(5):51-54. WANG Dan. Identification method of 3D seismic multiattribute interpretation in Dongpang mine[J]. Coal and Chemical Industry,2018,41(5):51-54.
[8] 王亚琪. 基于断裂似然体属性技术识别老窑巷道[C]//中国煤炭地质总局,中国煤炭工业协会煤炭地质分会. 新时代煤炭地球物理勘探技术论文集,北京:应急管理出版社,2019:63-67. WANG Yaqi. Identification of old working gob based on fracture likelihood body attribute technique[C]//China National Administration of Coal Geology,Coal Geology Chapter of China's Coal Industry Association. Collection of papers on coal geophysical exploration technology in the new era,Beijing:Emergency Management Press,2019:63-67.
[9] 杨臣明. 全数字高密度煤矿采区三维地震技术研究与实践[J]. 中国煤炭地质,2014,26(3):46-52. YANG Chenming. All digital high density coalmine winning district 3D seismic prospecting technology research and practices[J]. Coal Geology of China,2014,26(3):46-52.
[10] 杨臣明. 煤矿采区高精度三维地震勘探技术应用研究[J]. 能源与环保,2017,39(11):238-241. YANG Chenming. Research and application of high precision 3D seismic prospecting technology in coal mining area[J]. China Energy and Environmental Protection,2017,39(11):238-241.
[11] 程建远,聂爱兰,张鹏. 煤炭物探技术的主要进展及发展趋势[J]. 煤田地质与勘探,2016,44(6):136-141. CHENG Jianyuan,NIE Ailan,ZHANG Peng. Outstanding progress and development trend of coal geophysics[J]. Coal Geology & Exploration,2016,44(6):136-141.
[12] 方荣耀. 煤矿采空区的地震波场特征分析[D]. 太原:太原理工大学,2018. FANG Rongyao. Analysis of seismic response characteristics of mine goaf[D]. Taiyuan:Taiyuan University of Technology,2018.
[13] 孔选林,李军,徐天吉,等. 三维曲率体地震属性提取技术研究及应用[J]. 石油天然气学报(江汉石油学院学报),2011,33(5):71-75. KONG Xuanlin,LI Jun,XU Tianji,et al. Research and application of 3D volumetric curvature seismic attribute extraction technology[J]. Journal of Oil and Gas Technology,2011,33(5):71-75.
[14] 程彦. 小尺度曲率属性在煤田小微构造解释中的应用[J]. 煤田地质与勘探,2020,48(1):203-207. CHENG Yan. Application of small scale curvature in small and micro-structure interpretation of coal field[J]. Coal Geology & Exploration,2020,48(1):203-207.
[15] Al-DOSSARY S, MARFURT K J. 3-D volumetric multispectral estimates of reflector curvature and rotation[J]. Geophysics,2006,71(5):41-51.
[16] CHOPRA S,MARFURT K J. Structural curvature versus amplitude curvature[J]. The Leading Edge,2011,30(2):980-984.
[17] DI Haibin,GAO Dengliang. Improved estimates of seismic curvature and flexure based on 3D surface rotation in the presence of structure dip[J]. Geophysics,2016,81(2):13-23.
[18] 赵争光,杨瑞召,张凯淞,等. 基于最大主曲率的煤储层渗透性预测方法[J]. 煤田地质与勘探,2014,42(2):39-44. ZHAO Zhengguang,YANG Ruizhao,ZHANG Kaisong,et al. Method and application of coal reservoir permeability prediction based on maximum principle curvature[J]. Coal Geology & Exploration,2014,42(2):39-44.
[19] 盛新丽. 基于三维地震曲率的小断裂识别方法[J]. 中国煤炭地质,2018,30(增刊1):109-112. SHENG Xinli. Minor fault identification based on 3D seismic curvature[J]. Coal Geology of China,2018,30(Sup.1):109-112.
[20] 印兴耀,高京华,宗兆云. 基于离心窗倾角扫描的曲率属性提取[J]. 地球物理学报,2014,57(10):3411-3421. YIN Xingyao,GAO Jinghua,ZONG Zhaoyun. Curvature attribute based on dip scan with eccentric window[J]. Chinese Journal of Geophysics,2014,57(10):3411-3421.
[21] 张铁强. 地震属性及其实际数据的应用[D]. 北京:中国地质大学,2010. ZHANG Tieqiang. Seismic attributes and its application to real data[D]. Beijing:China University of Geosciences,2010.
[22] 李文进. 煤矿采空区地震反射特征研究:以张集煤矿为例[D]. 北京:中国地质大学,2019. LI Wenjin. Study on seismic reflection characteristics of coal mine goaf:Take Zhangji coal mine as an example[D]. Beijing:China University of Geosciences,2019.
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