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Study on the Deconvolution Method and processing flow of Airgun Source data

Earthquake Research in China 2016年第3期30卷 394-404页

作者： Zhai Qiushi Yao Huajian Wang Baoshan School of Earth and Space Sciences University of Science and Technology of China Hefei 230026 China Mengcheng National Geophysical Observatory Bozhou 233527 Anhui China Key Laboratory of Seismic Observation and Geophysical Imaging Institute of Geophysics CEA Beijlng 100081 China

With its high repeatability,the airgun source has been used to monitor the temporal variations of subsurface structures. However,under different working conditions,there will be subtle differences in the airgun source signals. To some extent,deconvolution can eliminate changes of the recorded signals due to source variations. Generally speaking,in order to remove the airgun source wavelet signal and obtain the Green's functions between the airgun source and stations,we need to select an appropriate method to perform the deconvolution process for seismic waveform data. Frequency domain water level deconvolution and time domain iterative deconvolution are two kinds of deconvolution methods widely used in the field of receiver functions,etc. We use the Binchuan( in Yunnan Province,China) airgun data as an example to compare the performance of these two deconvolution methods in airgun source data processing. The results indicate that frequency domain water level deconvolution is better in terms of computational efficiency;time domain iterative deconvolution is better in terms of the signal-to-noise ratio( SNR),and the initial motion of P-wave is also clearer. We further discuss the sequence issue of deconvolution and stack for multiple-shot airgun data processing. Finally,we propose a general processing flow for the airgun source data to extract the Green 's functions between the airgun source and stations.

关键词： Artificial source Airgun source Deconvolution data processing flow

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Application of GPS technology to build a mine-subsidence observation station

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Journal of China University of Mining and Technology 2008年第3期18卷 377-380页

作者： LU Wei-cai CHENG Shi-guang YANG Hai-sheng LIU Da-peng School of Earth and Environment Anhui University of Science and Technology Huainan Anhui 232001 China Liuzhuang Mining Ltd. of State Investment Xinji Fuyang Anhui 236235 China State Investment Xinji Energy Sóurces Ltd. Huainan Anhui 232001 China

We propose the design of an observation station to establish a reliable datum for displacement and deformation analysis at the first working-face subsidence observation station of Liuzhuang Mine. The design considers various geologic and mining con-ditions. Having analyzed the aims of the joint survey and the comprehensive survey, we propose design principles, and work modes, for adopting GPS technology as the position measuring technique to be used in these two stages. Baseline vectors and spatial ad-justments of the GPS network were calculated after study of data processing and quality estimation methods. A coordinate system transformation and error estimates of the transformed GPS network data are discussed. The error estimates in all stages show that the GPS control network of the observation station has sufficient accuracy and is highly efficient. The network thus provides a reli-able datum for analyzing the laws of surface displacement and deformation induced by mining.

关键词： GPS subsidence observation station initial observation data processing flow quality evaluating

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