China Aero Geophysical Survey and Remote Sensing Center for Natural ResourcesHost
地质出版社Publish
2023 Vol. 47, No. 4
Article Contents

CHEN Chao-Qun, DAI Hai-Tao, GAO Qin, CHEN Jun-Jie, LUO Wen-Li, WANG Zhi-Ru. 2023. A processing method for seismic data consistency under complex surface conditions and its applications. Geophysical and Geochemical Exploration, 47(4): 954-964. doi: 10.11720/wtyht.2023.1162
Citation: CHEN Chao-Qun, DAI Hai-Tao, GAO Qin, CHEN Jun-Jie, LUO Wen-Li, WANG Zhi-Ru. 2023. A processing method for seismic data consistency under complex surface conditions and its applications. Geophysical and Geochemical Exploration, 47(4): 954-964. doi: 10.11720/wtyht.2023.1162

A processing method for seismic data consistency under complex surface conditions and its applications

  • Located in the loess tableland area,the eastern Ordos Basin features criss-cross ravines and gullies and great topographic fluctuations.Its complex surface conditions and near-surface structures caused significantly different amplitudes,frequencies,and phases in the original seismic data of different regions.These differences are unrelated to the subsurface geological information and can easily lead to misinterpretation.Therefore,there is an urgent need to develop a processing method for seismic data consistency according to the characteristics of seismic data in the study area,aiming to improve the fidelity of seismic data.Based on the summary of the current consistency processing methods,this study built a new consistency processing flow for seismic data under complex surface conditions.By innovating surface consistent amplitude compensation,this study employed the dual-domain near-surface Q-absorption compensation for the first time to broaden the frequency band and improve the amplitude and frequency consistency of seismic data collected across gullies and tablelands.In addition,this study applied the surface consistent deconvolution of Yu's wavelet to attenuate the low-frequency noise and broaden the effective signal frequency band,improving the signal-to-noise ratio,resolution,and wavelet consistency of seismic data.The actual application verifies that the method used in this study is feasible and effective and has a high popularization value.
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通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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