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作 者:刘鹏[1] 罗忠琴[1] Liu Peng;Luo Zhongqin(Research Institute of Coal Geophysicl Exploration,China National Administration of Coal Geology,Zhuozhou Hebei 072750,China)
机构地区:[1]中国煤炭地质总局地球物理勘探研究院,河北涿州072750
出 处:《工程地球物理学报》2022年第3期269-275,共7页Chinese Journal of Engineering Geophysics
基 金:国家科技重大专项项目(编号:2016ZX05041)。
摘 要:陷落柱是煤矿采区的一种常见地质现象,陷落柱一方面破坏煤层的连续性,另一方面陷落柱存在导通深部灰岩水与浅部砂岩水的重大危险。但是由于陷落柱发育具有随机性,且在不同的深度,陷落柱的大小不一、形态各异,单纯利用地质资料预测陷落柱的分布根本不能解决煤矿安全生产的实际问题。针对这一问题,首先从陷落柱产生机理分析,提出利用三维地震混沌属性检测陷落柱空间展布的方法,该方法可以表示混乱无序的程度,针对地震数据体,如果某处地震信息越是杂乱无序,振幅越混乱,那么该处的混沌值越大。然后将混沌属性应用于山西赵庄二号井3号煤层,对比方差体、相干体常用构造检测属性。结果表明,混沌属性具有更高的精度,陷落柱边界更清晰,与实揭资料吻合程度更高。因此混沌属性可以提高陷落柱的检测精度,为陷落柱的精细勘查提供了技术方法。Collapse column is a common geological phenomenon in coal mining area.On the one hand,the geological anomaly of the collapse column destroys the continuity of the coal seam.On the other hand,the collapse column is prone to conducting deep limestone water and shallow sandstone water.However,due to the randomness of the development of collapse columns and at different depths,the size and shape of collapse columns are different.Simply using geological data to predict the distribution of collapse columns can not solve the practical problem of coal mine safety production.To solve this problem,based on the analysis of the mechanism of collapse column,a method using 3D seismic chaos attribute to predict the spatial distribution of collapse column is proposed.For seismic data volume,if the seismic information at a location is more disorganised and the amplitude more chaotic,then the chaos value at that location is greater.This method is applied to No.3 coal seam of Zhaozhuang No.2 mine.Compared with the common structural detection attributes-variance body and coherent body,chaotic attribute has higher accuracy,clearer collapse column boundary and higher consistency with the actual data.Chaos attribute can improve the detection accuracy of collapse column,and provide a method for fine investigation of collapse column.
分 类 号:P631.4[天文地球—地质矿产勘探]
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