首页> 外文期刊>矿业科学技术(英文版) >Reflectivity forward modeling and a CSSI method seismic inversion study of igneous intrusive area, coked area, and gas-enriched area located within a coal seam
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Reflectivity forward modeling and a CSSI method seismic inversion study of igneous intrusive area, coked area, and gas-enriched area located within a coal seam

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摘要

We applied the reflectivity method and the constrained sparse spike inverse modeling(CSSI) method to the interpretation of coal field lithologic seismic data.After introducing the principles of these two methods we discuss some parameters of a geological model involving possible gas enriched areas or intruded igneous rock.The geological model was constructed and a 60 Hz seismic response profile was obtained looking for igneous rock intrusion and coked areas of the coal seam using the reflectivity method.Starting from synthesized logging data from two wells and a synthesized seismic wavelet we calibrated the model to show accurate strata.Finally,we predicted the lithology within a 10 m igneous rock area,a 3 m coal seam area,and a coked area using the CSSI technique.The results show that the CSSI technique can identify hard to recognize lithologic features that normal profil-ing methods might miss.It can quantitatively analyze and evaluate the intrusive area,the coked area,and the gas-enriched area.

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  • 来源
    《矿业科学技术(英文版)》 |2009年第4期|457-462|共6页
  • 作者单位

    School of Resource and Geosciences, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China;

    School of Resource and Geosciences, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China;

    Institute of Geophysics China Earthquake Administration, Beijing 100081, China;

    School of Resource and Geosciences, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China;

    School of Resource and Geosciences, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China;

    School of Resource and Geosciences, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China;

  • 收录信息 中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类
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  • 入库时间 2022-08-18 01:03:30
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