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Seismic Response Characteristics Of The Coal Seam In The Kashmir Basin By Using Multi-Attribute Fusion Technology

Author

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  • Ehtisham Mehmood

    (College of Hydrology and Water Resources Hohai University,Nanjing)

  • Haishen Lü

    (College of Hydrology and Water Resources Hohai University,Nanjing)

Abstract

The increasing demand for efficient and sustainable coal extraction emphasizes the critical need for accurately characterizing coal seams. This study explores the utilization of multi-attribute seismic fusion technology to analyze the seismic response of coal seams in the Kashmir Basin. Through the application of a two-dimensional forward geological model incorporating coal layers and roadways, we extracted seismic attributes such as relative wave impedance, instantaneous amplitude, and frequency, aiming to assess their effectiveness in detecting anomalies caused by roadways within the coal seam. Our findings indicate that these attributes successfully capture variations in seismic response induced by roadways. However, individual attributes may face challenges in differentiation based on roadway fill material. To address this limitation, RGB multi-attribute fusion technology was employed. Compared to single attributes, the fused attribute offers a more comprehensive representation of geological features, enabling clearer visualization of tunnel boundaries and extraction of richer geological information. This methodology enhances the accuracy of seismic data interpretation and simplifies the delineation of complex geological structures within coal seams. This research underscores the potential of multi-attribute fusion technology in advancing coal seam characterization in the Kashmir Basin and beyond. The improved understanding of complex geological structures translates to optimized resource exploration strategies and more informed decision-making in the mining industry.

Suggested Citation

  • Ehtisham Mehmood & Haishen Lü, 2024. "Seismic Response Characteristics Of The Coal Seam In The Kashmir Basin By Using Multi-Attribute Fusion Technology," Geological Behavior (GBR), Zibeline International Publishing, vol. 8(1), pages 27-31, May.
    • Handle: RePEc:zib:zbngbr:v:8:y:2024:i:1:p:27-31
    DOI: 10.26480/gbr.01.2024.27.31
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    References listed on IDEAS

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    1. Francis Pavloudakis & Christos Roumpos & Evangelos Karlopoulos & Nikolaos Koukouzas, 2020. "Sustainable Rehabilitation of Surface Coal Mining Areas: The Case of Greek Lignite Mines," Energies, MDPI, vol. 13(15), pages 1-23, August.
    2. Akshay Chowdu & Peter Nesbitt & Andrea Brickey & Alexandra M. Newman, 2022. "Operations Research in Underground Mine Planning: A Review," Interfaces, INFORMS, vol. 52(2), pages 109-132, March.
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