WU Bin, MENG Fanbin. Seismic attribute recognition technology of magmatic rock intrusive coal seam[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(6): 64-71. DOI: 10.3969/j.issn.1001-1986.2020.06.009
Citation: WU Bin, MENG Fanbin. Seismic attribute recognition technology of magmatic rock intrusive coal seam[J]. COAL GEOLOGY & EXPLORATION, 2020, 48(6): 64-71. DOI: 10.3969/j.issn.1001-1986.2020.06.009

Seismic attribute recognition technology of magmatic rock intrusive coal seam

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National Key R&D Program of China(2018YFC0807803)

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  • Received Date: October 14, 2020
  • Revised Date: November 02, 2020
  • Published Date: December 24, 2020
  • Magmatic rock seriously affects the coal quality and reserves of the mine fields, has serious impact on the mining face layout, roadway excavation and mining work. Therefore, it is of great significance to detect the scope of magmatic rock intrusion into coal seam for safe and efficient production of coal mine. This paper summarizes the geological characteristics of magmatic intrusions, establishes the geological and seismic model of magmatic intrusion into coal seam. Through forward modeling, it is found that the main frequency energy attributes and amplitude attributes are more sensitive to magmatic rock reaction, and with the gradual increase of magmatic rock thickness, the energy and amplitude attributes gradually decrease. Through the attribute analysis of coal seam 10 in the actual high-density 3D seismic data, it is found that the frequency band width, central frequency and main amplitude attributes can better identify the magmatic intrusion area. Through the analysis of frequency band width, center frequency and main amplitude of coal seam 10 in the exploration area, it is found that the identification of magmatic intrusion area is in good agreement with borehole exposure, which proves that the seismic attribute identification technology can identify the magmatic rock intrusion area of coal seam.
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