CHENG Yan, ZHAO Pu, LIN Jiandong, ZHANG Xingping. Application of seismic waveform classification technology in interpretation of geological abnormal body[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(6): 87-92,102. DOI: 10.3969/j.issn.1001-1986.2020.06.012
Citation: CHENG Yan, ZHAO Pu, LIN Jiandong, ZHANG Xingping. Application of seismic waveform classification technology in interpretation of geological abnormal body[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(6): 87-92,102. DOI: 10.3969/j.issn.1001-1986.2020.06.012

Application of seismic waveform classification technology in interpretation of geological abnormal body

Funds: 

Science and Technology Innovation Fund of China National Administration of Coal Geology(ZMKJ-2019-B11,ZMKJ-2019-J11)

More Information
  • Received Date: October 23, 2020
  • Revised Date: November 09, 2020
  • Published Date: December 24, 2020
  • Seismic waveform classification technology has the characteristics of statistics of the overall change of the seismic signal and reflects the distribution of this change. It is an important extension of seismic attribute analysis technology. It has a good application effect on the reflected wave changes caused by geological anomalies, which is similar to the conventional single attribute prediction. Compared, it has the characteristics of sensitive reflection and reliable results. High density 3D seismic data have the characteristics of high signal-to-noise ratio, high resolution and high fidelity. This paper attempts to use waveform classification technology to predict the occurrence of coal seam and magmatic intrusion area reflected by high density 3D seismic data, and studies the interpretation method of collapse column. Through actual exposure and drilling verification in underground roadways, the prediction results have high accuracy and accurate bounds, which can provide accurate geological data for coal mining.
  • [1]
    BALCH A H. Color sonagrams:A new dimension in seismic data interpretation[J]. Geophysics,1973,36(6):232-238.
    [2]
    COLÉOU T,POUPON M,AZBEl K. Unsupervised seismic facies classification:A review and comparison of techniques and implementation[J]. The Leading Edge,2012,22(10):942-953.
    [3]
    DE MATOS M C,OSORIO P L M,JOHANN P,et al. Unsupervised seismic facies analysis using wavelet transform and self-organizing maps[J]. Geophysics,2007,72(1):9-21.
    [4]
    WALLET B C, DE MATOS M C, KWIATKOWSKI J T,et al. Latent space modeling of seismic data:An overview[J]. Leading Edge,2009,28(12):1454-1459.
    [5]
    逯宇佳,曹俊兴,刘哲哿,等. 波形分类技术在缝洞型储层流体识别中的应用[J]. 石油学报,2019,40(2):182-189.

    LU Yujia,CAO Junxing,LIU Zhege,et al. Application of waveform classification technology in fluid identification of fractured-vuggy reservoirs[J]. Acta Petrolei Sinica,2019,40(2):182-189.
    [6]
    佘刚,周小鹰,戴明刚,等. 波形分类技术在鄂北薄砂岩储层预测中的应用[J]. 石油与天然气地质,2012,33(4):536-540.

    SHE Gang,ZHOU Xiaoying,DAI Minggang,et al. Application of seismic waveform classification technique in thin sandstones reservoir prediction in northern Ordos Basin[J]. Oil & Gas Geology,2012,33(4):536-540.
    [7]
    邓传伟,李莉华,金银姬,等. 波形分类技术在储层沉积微相预测中的应用[J]. 石油物探,2008,47(3):262-265.

    DENG Chuanwei,LI Lihua,JIN Yinji,et al. Application of seismic waveform classification technique in prediction reservoir sedimentary microfacies[J]. Geophysical Prospecting for Petroleum,2008,47(3):262-265.
    [8]
    COLEOU T,POUPON M,AZBEL K. Unsupervised seismic facies classification:A review and comparison of techniques and implementation[J]. The Leading Edge,2003,22(10):942-953.
    [9]
    石战战,王元君,唐湘蓉,等. 一种基于时频域波形分类的储层预测方法[J]. 岩性油气藏,2018,30(4):98-104.

    SHI Zhanzhan,WANG Yuanjun,TANG Xiangrong,et al. Reservoir detection based on seismic waveform classification in time-frequency domain[J]. Lithologic Reservoirs,2018,30(4):98-104.
    [10]
    郑和忠. 基于支持向量机的地震波形分类方法的研究[D]. 青岛:青岛大学,2018.

    ZHENG Hezhong. Research on seismic waveform classification method based on support vector machine[D]. Qingdao:Qingdao University,2018.
    [11]
    刘豪杰,夏同星,周学锋,等. 基于模型正演的地震波形分类技术预测优质储层[C]//中国地球科学联合学术年会,2019:1112-1115.

    LIU Haojie,XIA Tongxing,ZHOU Xuefeng,et al. Prediction of high quality reservoir by seismic waveform classification based on model forward modeling[C]//China Geosciences Joint Annual Meeting,2019:1112-1115.
    [12]
    吴微,谭绍泉,王树华,等. 基于波形分类的层位自动追踪方法[C]//SPG/SEG南京2020年国际地球物理会议. 2020:975-978.

    WU Wei,TAN Shaoquan,WANG Shuhua,et al. Automatic horizon tracking method based on waveform classification[C]//SPG/SEG International Geophysical conference,Nanjing,2020:975-978.
    [13]
    孙学凯,崔若飞. 地震相分析在探测煤层中火成岩侵入范围的应用[J]. 煤田地质与勘探,2010,38(5):58-60.

    SUN Xuekai,CUI Ruofei. Application of seismic faces analysis in detecting the magmatic intrusion zones[J]. Coal Geology & Exploration,2010,38(5):58-60.
    [14]
    杨占龙,陈启林,沙雪梅,等. 关于地震波形分类的再分类研究[J]. 天然气地球科学,2008,19(3):377-380.

    YANG Zhanlong,CHEN Qilin,SHA Xuemei,et al. Reclassification research of seismic waveform classification[J]. Natural Gas Geoscience,2008,19(3):377-380.
    [15]
    林朋,彭苏萍,卢勇旭,等. 基于共轭梯度法的全波形反演[J]. 煤田地质与勘探,2017,45(1):131-136.

    LIN Peng,PENG Suping,LU Yongxu,et al. Full waveform inversion based on the conjugate gradient method[J]. Coal Geology & Exploration,2017,45(1):131-136.
    [16]
    刘明夫. 三维地震数据体的波形分类方法研究[D]. 成都:电子科技大学,2014.

    LIU Mingfu. Research on waveform classification method based on 3D seismic data[D]. Chengdu:University of Electronic Science and Technology of China,2014.
    [17]
    范洪军,范廷恩,王晖,等. 地震波形分类技术在河流相储层研究中的应用[J]. CT理论与应用研究,2014,23(1):71-80.

    FAN Hongjun,FAN Ting'en,WANG Hui,et al. Application of seismic waveform classification technique in the study of fluvial reservoir[J]. CT Theory and Applications,2014,23(1):71-80.
    [18]
    高阳,王春贤,冯西会,等. 地震相分析技术在煤田地震勘探中的应用[J]. 煤田地质与勘探,2016,44(1):107-111.

    GAO Yang,WANG Chunxian,FENG Xihui,et al. Application of seismic facies analysis technology in coal seismic exploration[J]. Coal Geology & Exploration,2016,44(1):107-111.
    [19]
    秦永军,马丽,薛海军,等. 地震波形分类技术在煤层分叉解释中的应用[J]. 中国煤炭地质,2016,28(10):76-80.

    QIN Yongjun,MA Li,XUE Haijun,et al. Application of seismic waveform classification technology in coal seam bifurcation interpretation[J]. Coal Geology of China,2016,28(10):76-80.
    [20]
    江青春,王海,李丹,等. 地震波形分类技术应用条件及其在葡北地区沉积微相研究中的应用[J]. 石油与天然气地质,2012,33(1):135-140.

    JIANG Qingchun,WANG Hai,LI Dan,et al. Application conditions of seismic waveform classification technique and its use in the study of sedimentary microfacies of Pubei area[J]. Oil & Gas Geology,2012,33(1):135-140.
    [21]
    杨文强. 孙疃矿中组煤层地震相分析与煤厚预测[D]. 徐州:中国矿业大学,2019.

    YANG Wenqiang. Seismic facies analysis and seam thickness prediction of the Middle Coal seam in Suntuan Mine[D]. Xuzhou:China University of Mining and Technology,2019.
  • Related Articles

    [1]YANG Mingjun, WEN Guojun, WANG Yudan, XU Xinjian, LYU Zhonglin. Research on off-line programming-based intelligent directional drillingtechnology of coal seam[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(5): 167-172. DOI: 10.3969/j.issn.1001-1986.2017.05.029
    [2]WANG Guofu, NIE Jieli, ZHANG Faquan, YE Jincai. Impact characteristics of roadway based on 3D finite element method[J]. COAL GEOLOGY & EXPLORATION, 2016, 44(3): 116-119. DOI: 10.3969/j.issn.1001-1986.2016.03.022
    [3]FAN Chengzhou, HUANG Huayuan, LIU Zhenxing, DING Bocheng, WANG Falin. Nonlinearity finite element analysis of rubber cylinder ring around the grout injector with mechanical sealing[J]. COAL GEOLOGY & EXPLORATION, 2014, 42(5): 96-99. DOI: 10.3969/j.issn.1001-1986.2014.05.019
    [4]ZHANG Xiaoshuai, LUO Guangqiang, LIU Dilei, YANG Guowei, ZHANG Jianbing. Finite element analysis about the make-up torque of the joint of diamond wireline coring drill pipe[J]. COAL GEOLOGY & EXPLORATION, 2013, 41(5): 90-92. DOI: 10.3969/j.issn.1001-1986.2013.05.020
    [5]HU Shilei, YAN Taining, WANG Bin, LIU Hao. Model for calculating pull-back force for pipe-laying in directional drilling[J]. COAL GEOLOGY & EXPLORATION, 2012, 40(3): 66-69,73. DOI: 10.3969/j.issn.1001-1986.2012.03.016
    [6]ZHANG Jin-lin, SHEN Jun-hui, PEI Xiang-jun. Experiments of single-pile vertical pull-out and the analysis of results[J]. COAL GEOLOGY & EXPLORATION, 2005, 33(3): 58-60.
    [7]ZHAN Jun, YU Qing-yang. Finite element method applying to stability analysis of landslide[J]. COAL GEOLOGY & EXPLORATION, 2002, 30(1): 45-47.
    [8]Yan Shu, Chen Mingsheng. FINITE ELEMENT SOLUTION OF THREE-DIMENSIONAL GEOELECTRIC MODELS IN FREQUENCY ELECTROMAGNETIC SOUNDING EXCITED BY A HORIZONTAL ELECTRIC DIPOLE[J]. COAL GEOLOGY & EXPLORATION, 2000, 28(3): 50-56.
    [9]Wang Yimin. DISPLACEMENT MEASUREMENT OF TUNNEL SURROUNDING ROCK AND FINITE ELEMENT ANALYSIS METHOD[J]. COAL GEOLOGY & EXPLORATION, 2000, 28(3): 34-36.
    [10]YAO Lei-hua. NEUMANN EXPANSIONS MONTE-CARLO STOCHASIC FINITE ELEMENT METHOD FOR GROUNDWATER MODELS[J]. COAL GEOLOGY & EXPLORATION, 1997, 25(4): 31-34.
  • Cited by

    Periodical cited type(6)

    1. 赵贵征,张凤喜,成艳. 浅谈AIGC在油气勘探开发中的应用. 中国石油和化工标准与质量. 2025(01): 102-104 .
    2. 王清峰,刘洋,陈航,史书翰,崔小超. 煤矿井下钻进工况参数智能控制技术发展与展望. 矿业安全与环保. 2025(01): 20-29 .
    3. 胥知画,姜杰,周长春,李谦,任军. 基于粒子群优化的融合特征选择钻速预测模型研究. 钻探工程. 2025(02): 134-143 .
    4. 张媛. 基于数字孪生技术的钻井工程智能作业支持系统的设计. 信息系统工程. 2024(04): 4-7 .
    5. 林伯韬,朱海涛,金衍,张家豪,韩雪银. 油气钻采数字孪生模型构建方法及应用案例. 石油科学通报. 2024(02): 282-296 .
    6. 王钧泽,李黔,尹虎. 基于数字孪生技术的钻井复杂风险智能预警系统架构. 石油钻探技术. 2024(05): 154-162 .

    Other cited types(0)

Catalog

    Article Metrics

    Article views (145) PDF downloads (18) Cited by(6)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return