摘要
岩浆岩体严重影响井田的煤质、储量等,对采区工作面布置、巷道掘进及回采工作造成严重的影响,因而探测岩浆岩侵入煤层的范围对煤矿安全高效生产具有重大意义。在总结岩浆岩侵入体的地质特征基础上,建立岩浆侵入煤层地震地质模型,通过正演,对多种属性进行交互分析,发现主频能量属性与振幅类属性对岩浆岩反应较为敏感,并且随着岩浆岩厚度的逐渐增加能量类与振幅类属性逐渐降低。通过对QN煤矿103工作面高密度三维地震资料连井剖面10煤进行属性分析,发现频带宽度、中心频率、主振幅属性可以较好地识别岩浆侵入区。通过对勘探区10煤层进行频带宽度、中心频率和主振幅属性分析识别岩浆侵入区,其识别结果与钻孔实际揭露吻合较好,证明采用地震属性识别技术可以识别煤层岩浆岩侵入区范围。
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.
作者
吴斌
孟凡彬
WU Bin;MENG Fanbin(School of Resources and Geosciences,China University of Mining and Technology,Xuzhou 221116,China;Research Institute of Coal Geophysical Exploration,China National Administration of Coal Geology,Zhuozhou 072750,China)
出处
《煤田地质与勘探》
CAS
CSCD
北大核心
2020年第6期64-71,共8页
Coal Geology & Exploration
基金
国家重点研发计划课题(2018YFC0807803)。
关键词
岩浆岩
煤层
正演模拟
地震属性
高密度三维地震
magmatic rocks
coal seam
forward modeling
seismic attributes
high density 3D seismic exploration