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地震属性参数在札达—泉水沟深地震测深资料预处理与震相识别中的应用
引用本文:王晓,白志明,周小鹏,余丹,纪寿文.地震属性参数在札达—泉水沟深地震测深资料预处理与震相识别中的应用[J].地震地磁观测与研究,2020,41(5):10-17.
作者姓名:王晓  白志明  周小鹏  余丹  纪寿文
作者单位:1.中国北京 100045 中国地震台网中心;2.中国北京 100029 中国科学院地质与地球物理研究所
基金项目:中国地震台网中心青年科技基金(项目编号:QNJJ201813)
摘    要:地震属性分析技术在地球物理勘探领域的广泛应用,启发研究人员将其应用于人工源宽角反射/折射深地震测深剖面的资料预处理和震相识别。采用札达-泉水沟深地震测深资料,提取振幅、信噪比、主频、瞬时带宽、瞬时高频能量等地震属性参数,分析不同参数的物理含义,挑选其中对界面变化敏感的参数,对深地震测深资料进行预处理,并利用P波和S波的联合扫描,提高震相识别的准确性。走时互换结果显示,采用地震属性参数可有效提高震相拾取的准确性,进而提高后续地壳速度结构反演结果的精度。

关 键 词:深地震测深  地震属性参数  联合扫描  震相识别

Application of seismic attribute parameters in data preprocessing and seismic facies identification of Zhada-Quanshuigou deep seismic sounding profile
WANG Xiao,BAI Zhiming,ZHOU Xiaopeng,YU Dan,JI Shouwen.Application of seismic attribute parameters in data preprocessing and seismic facies identification of Zhada-Quanshuigou deep seismic sounding profile[J].Seismological and Geomagnetic Observation and Research,2020,41(5):10-17.
Authors:WANG Xiao  BAI Zhiming  ZHOU Xiaopeng  YU Dan  JI Shouwen
Institution:1.China Earthquake Networks Center, Beijing 100045, China;2.Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
Abstract:With the widespread application of seismic attribute analysis technology in the field of geophysical exploration, it guides us to apply it to the data preprocessing and seismic facies identification of wide-angle reflection/refraction deep seismic sounding profiles of artificial sources. Based on the Zhada-Quanshuigou deep seismic sounding data, this paper extracts seismic attributes such as amplitude, signal-to-noise ratio, dominant frequency, instantaneous bandwidth, and instantaneous high-frequency energy, analyzes the physical meaning of different attributes, and selects seismic attributes that are sensitive to interface changes. Then we preprocess deep seismic sounding data and use P-wave and S-wave joint scanning to improve the accuracy of seismic facies identification. The results of traveltime interchange show that the application of seismic attribute parameters can effectively improve the accuracy of seismic facies picking and then improve the accuracy of subsequent crustal velocity structure inversion.
Keywords:deep seismic sounding  seismic attribute parameters  joint scan  seismic facies identification
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