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作 者:庄益明 张兴平[2] 王琦[3] 金学良[3] 宋利虎[2] ZHUANG Yi-ming;ZHANG Xing-ping;WANG Qi;JIN Xue-liang;SONG Li-hu(School of Resources and Earth Sciences,China University of Mining and Technology,Xuzhou 221008,China;Geophysical Prospecting and Research Institute,China National Administration of Coal Geology,Zhuozhou 072750,China;Huaibei Mining Industry Co.,Ltd.,Huaibei 232000,China)
机构地区:[1]中国矿业大学资源与地球科学学院,江苏徐州221008 [2]中国煤炭地质总局地球物理勘探研究院,河北涿州072750 [3]淮北矿业股份有限公司,安徽淮北232000
出 处:《煤炭技术》2018年第9期150-152,共3页Coal Technology
摘 要:常规滤波方法在一定程度上提高了地震资料的信噪比,地震信号也变得较为平滑,虽有利于煤层赋存形态的解释,但小断层处的反射也可能产生平滑,不利于对小断层的精细识别与解释;通过构造导向滤波对地震信号进行滤波去噪,既可以提高地震信号的信噪比,还能保持原始地震信号基本不变,突出地层不连续性,有利于小断层识别与解释。以实际采区三维地震数据为例,阐述了基于构造导向滤波后蚂蚁追踪识别属性分析技术,经采区验证,获得了较好的效果。The usual filtering method improves the signal-to-noise ratio of seismic data, seismic curve becomes smoother, which is helpful to the interpretation of the coal occurrence, but the reflection wave of small fault may also be smoothed, which is not conducive to fine identification and interpretation of small faults. The seismic signal filtering by constructing oriented filtering, can not only improve the signal-to-noise ratio of the seismic signal, but also maintain the characteristics of the original seismic signal, and highlight the discontinuity of the formation, which is helpful for the identification and interpretation of small faults.Taking the 3 D seismic data of actual mining area as an example, expounds the technology of tracking and identifying attributes based on the structure oriented filtering. Verified by the actual mining area, good results were obtained.
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