A method for fine-scale identification of collapse columns based on offset vector tile domain seismic data

Authors

ZHANG Guangzhong, CCTEG Xi’an Research Institute (Group) Co. Ltd., Xi’an 710077, ChinaFollow
LIU Song, CCTEG Xi’an Research Institute (Group) Co. Ltd., Xi’an 710077, China
SHAN Rui, CCTEG Xi’an Research Institute (Group) Co. Ltd., Xi’an 710077, ChinaFollow
CAI Wenrui, CCTEG Xi’an Research Institute (Group) Co. Ltd., Xi’an 710077, China

Abstract

Objectives and Methods The YQ mining area in the Qinshui Basin is characterized by complex seismic and geological conditions, as well as well-developed collapse columns and flexure structures. Consequently, conventional three-dimensional (3D) seismic exploration fails to meet the precision requirements for safe coal mining. By constructing a physical model based on the actual geological conditions of the study area, this study conducted forward modeling for the seismic responses of collapse columns under varying azimuths. Accordingly, the azimuthal anisotropy of the collapse columns were systematically analyzed. By employing a regular noise suppression technique based on curvelet transform, combined with prestack migration in the off vector tile (OVT) domain under varying azimuths and offsets, this study obtained high-fidelity five-dimensional (5D) seismic data. These data, combined with the seismic variance and coherence attributes and the watershed edge-detection algorithm, contributed to enhanced identification precision of collapse column boundaries.Results and Conclusions The results indicate that the most distinct collapse column boundaries were achieved under near offset and azimuths perpendicular to the longer axes of collapse columns. The processing of 5D OVT-domain seismic data effectively preserved azimuthal information and enhanced the capacity for identifying collapse columns, flexures, and faults. In the engineering practice, 62 collapse columns were newly identified, agreeing well with the verification results of an underground roadway. The proposed method enhances the seismic exploration precision of collapse columns under complex geological conditions, thereby providing technical support for safe coal mining.

Keywords

offset vector tile (OVT), collapse column, high-density 3D seismic, azimuth anisotropy, edge detection, Qinshui Basin

DOI

10.12363/issn.1001-1986.25.03.0223

Recommended Citation

ZHANG Guangzhong, LIU Song, SHAN Rui, et al. (2026) "A method for fine-scale identification of collapse columns based on offset vector tile domain seismic data," Coal Geology & Exploration: Vol. 54: Iss. 3, Article 20.
DOI: 10.12363/issn.1001-1986.25.03.0223
Available at: https://cge.researchcommons.org/journal/vol54/iss3/20

Reference

[1] 董书宁,刘再斌,程建远,等. 煤炭智能开采地质保障技术及展望[J]. 煤田地质与勘探,2021,49(1):21−31

DONG Shuning,LIU Zaibin,CHENG Jianyuan,et al. Technologies and prospect of geological guarantee for intelligent coal mining[J]. Coal Geology & Exploration,2021,49(1):21−31

[2] 邢同菊,董杰,邱梅,等. 新汶煤田奥灰岩溶横向发育特征及径流网络预测[J]. 煤矿安全,2023,54(3):212−220

XING Tongju,DONG Jie,QIU Mei,et al. Transverse development characteristics of Ordovician limestone karst water and runoff network prediction of Xinwen coalfield[J]. Safety in Coal Mines,2023,54(3):212−220

[3] 丁立,王经明. 煤层底板隐蔽水害危险源识别与定位试验研究[J]. 煤炭科学技术,2022,50(8):172−179

DING Li,WANG Jingming. Study on analogue experiment on hydrogeological effect and localization of hidden water hazard source in coal seam floor[J]. Coal Science and Technology,2022,50(8):172−179

[4] 张伟杰,李术才,魏久传,等. 岩溶泉域煤矿奥灰顶部相对隔水性及水文地质特征研究[J]. 岩石力学与工程学报,2014,33(2):349−357

ZHANG Weijie,LI Shucai,WEI Jiuchuan,et al. Relative impermeability and hydrogeological characteristics of Ordovician limestone of coal mine in Karst Spring Basin[J]. Chinese Journal of Rock Mechanics and Engineering,2014,33(2):349−357

[5] 中国地球物理学会. 煤矿采区三维地震勘探规范：T/CGS 012—2022[S]. 北京：中国标准出版社，2022.

[6] 刘欣欣,吴国忱,梁锴. 单点高密度地震勘探技术研究综述[J]. 地球物理学进展,2009,24(4):1354−1366

LIU Xinxin,WU Guochen,LIANG Kai. The review of point–source/point–receiver high density seismic exploration technology[J]. Progress in Geophysics,2009,24(4):1354−1366

[7] 王华忠. “两宽一高”油气地震勘探中的关键问题分析[J]. 石油物探,2019,58(3):313−324

WANG Huazhong. Key problem analysis in seismic exploration based on wide–azimuth,high–density,and broadband seismic data[J]. Geophysical Prospecting for Petroleum,2019,58(3):313−324

[8] 王延光,尚新民,芮拥军. 单点高密度地震技术进展、实践与展望[J]. 石油物探,2022,61(4):571−590

WANG Yanguang,SHANG Xinmin,RUI Yongjun. Progress,practice,and prospect of single–sensor high–density seismic technology[J]. Geophysical Prospecting for Petroleum,2022,61(4):571−590

[9] 詹仕凡,陈茂山,李磊,等. OVT域宽方位叠前地震属性分析方法[J]. 石油地球物理勘探,2015,50(5):956−966

ZHAN Shifan,CHEN Maoshan,LI Lei,et al. OVT–domain wide–azimuth prestack seismic attribute analysis[J]. Oil Geophysical Prospecting,2015,50(5):956−966

[10] 袁刚,王西文,雍运动,等. 宽方位数据的炮检距向量片域处理及偏移道集校平方法[J]. 石油物探,2016,55(1):84−90

YUAN Gang,WANG Xiwen,YONG Yundong,et al. Wide–azimuth data migration in OVT domain and OVG flattening[J]. Geophysical Prospecting for Petroleum,2016,55(1):84−90

[11] 李昂,张丽艳,杨建国,等. 宽方位地震OVT域方位各向异性校正技术[J]. 石油地球物理勘探,2021,56(1):62−68

LI Ang,ZHANG Liyan,YANG Jianguo,et al. Analysis and processing technology of azimuth anisotropy in OVT domain of wide–azimuth seismic data[J]. Oil Geophysical Prospecting,2021,56(1):62−68

[12] 李博. OVT域地震数据规则化技术及应用[J]. 石油物探,2019,58(1):53−62

LI Bo. Seismic data regularization in the OVT domain and its application[J]. Geophysical Prospecting for Petroleum,2019,58(1):53−62

[13] 李文花. OVT域5D数据规则化处理方法在榆林某矿中的研究与应用[J]. 中国煤炭地质,2020,32(5):53−57

LI Wenhua. Research and application of OVT domain 5D data regularization processing in a Yulin mine[J]. Coal Geology of China,2020,32(5):53−57

[14] WEI Chongtao,YUE Jianghua,LI Zhuangfu,et al. Comprehensive study on a collapse column in Kongzhuang coal mine[J]. Procedia Earth and Planetary Science,2009,1(1):895−902.

[15] 蔡文芮. OVT域五维规则化在煤田高密度数据处理中的应用[J]. 煤炭技术,2021,40(12):86−90

CAI Wenrui. Application of five–dimensional regularization in OVT domain in high–density data processing of coal fields[J]. Coal Technology,2021,40(12):86−90

[16] 蔡文芮. OVT域叠前时间偏移在煤田高密度三维地震勘探中的应用[J]. 能源与环保,2021,43(10):142−148

CAI Wenrui. Application of OVT prestack migration in high density 3D seismic of mine field[J]. China Energy and Environmental Protection,2021,43(10):142−148

[17] 杨光明,金学良,张宪旭,等. 宽频宽方位处理技术在淮北矿区全数字高密度地震勘探中的应用[J]. 煤田地质与勘探,2020,48(6):55−63

YANG Guangming,JIN Xueliang,ZHANG Xianxu,et al. Application of broadband and wide azimuth processing technology in full digital high density seismic exploration in Huaibei mining area[J]. Coal Geology & Exploration,2020,48(6):55−63

[18] 赵立明,崔若飞. 全数字高密度三维地震勘探在煤田精细构造解释中的应用[J]. 地球物理学进展,2014,29(5):2332−2336

ZHAO Liming,CUI Ruofei. Application of digital high–density seismic exploration in fine structural interpretation in coalfield[J]. Progress in Geophysics,2014,29(5):2332−2336

[19] TRAD D. Five–dimensional interpolation:Recovering from acquisition constraints[J]. Geophysics,2009,74(6):V123−V132.

[20] 张宪旭. 高密度和常规观测系统的河道成像效果分析[J]. 煤田地质与勘探,2020,48(6):40−47

ZHANG Xianxu. Analysis of channel imaging effect of high density and conventional observation system[J]. Coal Geology & Exploration,2020,48(6):40−47

[21] 吴斌. 煤田小断层叠后地震方位分析及其应用[D]. 徐州：中国矿业大学，2021.

WU Bin. Analysis and application of seismic azimuth after stacking of small faults in coalfield[D]. Xuzhou：China University of Mining and Technology，2021.

[22] HENNENFENT G,HERRMANN F J. Seismic denoising with nonuniformly sampled curvelets[J]. Computing in Science & Engineering,2006,8(3):16−25.

[23] HERRMANN F J,WANG Deli,HENNENFENT G,et al. Curvelet–based seismic data processing:A multiscale and nonlinear approach[J]. Geophysics,2008,73(1):A1−A5.

[24] XIE Liujun,WANG Bo,WANG Yifan,et al. The method for precise seismic detection of geological structures in underground coal mines and application[J]. Frontiers in Earth Science,2024,12:1307275.

[25] 倪建明，董守华，王琦，等. 中国东部煤田高密度三维地震勘探技术及应用[M]. 徐州：中国矿业大学出版社，2021.

[26] ZHANG Xianxu. Model–based seismic imaging and analysis of karst water hazards in coal mining[J]. Mine Water and the Environment,2021,40(2):426−432.

[27] 单蕊,张广忠,聂爱兰. 基于OVT域的五维高密度地震数据陷落柱识别应用[J]. 能源与环保,2024,46(5):91−96

SHAN Rui,ZHANG Guangzhong,NIE Ailan. Application of collapse column identification using 5–dimensional high–density seismic data in OVT domain[J]. China Energy and Environmental Protection,2024,46(5):91−96

[28] WU Yanhui,ZHU Guowei,WANG Wei. Precise prediction of the collapse column based on channel wave spectral disparity characteristics and velocity tomography imaging[J]. Journal of Geophysics and Engineering,2022,19(3):326−335.

[29] 徐彦凯,曹思远,潘晓,等. 随机噪声的局部正交压制方法[J]. 石油地球物理勘探,2019,54(2):280−287

XU Yankai,CAO Siyuan,PAN Xiao,et al. A local orthogonalization for seismic random noise suppression[J]. Oil Geophysical Prospecting,2019,54(2):280−287

[30] 陶文朋,董守华,黄亚平,等. 地震属性技术在探测断层和陷落柱中的应用[J]. 煤炭科学技术,2008,36(12):79−81

TAO Wenpeng,DONG Shouhua,HUANG Yaping,et al. Application of seismic attribution technology to explore fault and sink hole[J]. Coal Science and Technology,2008,36(12):79−81

[31] 张宪旭，朱建刚，董蕊静，等. 一种基于多测井数据的地震振幅质控方法：CN114721052A[P]. 2022-07-08.

[32] 张宪旭，金学良，杨光明，等. 基于先验数据的波形匹配确定煤层及围岩物性参数的方法：CN110687591B[P]. 2020-01-14.

[33] 李江，金学良，朱书阶，等. 一种基于信噪比约束的剩余曲率谱计算方法及装置：CN113075734A[P]. 2021-07-06.

[34] 白瑜,张广忠,李刚,等. 基于分水岭算法的地震属性异常体边缘检测技术[J]. 中州煤炭,2015(9):97−100

BAI Yu,ZHANG Guangzhong,LI Gang,et al. Edge detection technology of abnormal seismic attribute body based on watershed algorithm[J]. Zhongzhou Coal,2015(9):97−100

[35] ZHOU Junjie,WU Yanhui,ZHANG Qingchao,et al. Accurate delimitation of mine goaves using multi–attribute comprehensive identification and data fusion technologies in 3D seismic exploration[J]. Applied Sciences,2024,14(12):5012.