[an error occurred while processing this directive] ������� 2018, 37(2) 636-645 DOI:   10.3969/j.issn.1004-5589.2018.02.031  ISSN: 1004-5589 CN: 22-1111/P

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Article by Chang A
Article by Han L
Article by Yu J
Article by Zhang L
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3-D seismic data reconstruction based on LDPC matrix sampling scheme
CHANG Ao1, HAN Li-guo1, YU Jiang-long2, ZHANG Liang1
1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China;
2. PetroChina Xinjiang Oilfield Branch Exploration and Development Research Institute, Kelamayi 834000, Xinjiang, China
Abstract: The existing sampling matrices cannot realize good seismic data reconstruction results, and most of matrices are complicated and have different elements, which are not suitable for seismic prospecting. The authors applied LDPC matrix to seismic data acquisition, using less data to realize complete data reconstruction. The K-SVD dictionary was used for sparse transform, and FISTA reconstruction algorithm was used to recover original data. Compared with previous random sampling, discrete regular sampling and jitter sampling, the LDPC (Low Density Parity Check) matrix was more suitable in 3-D environment and achieved better performance. Comparing SNRs of reconstructed data of different methods, both 3-D simulated data and field data proved that LDPC matrix has the best SNR and performance.
Keywords: compressed sensing   data reconstruction   sampling matrix   LDPC matrix  
�ո����� 2017-10-31 �޻����� 2018-03-06 ����淢������  
DOI: 10.3969/j.issn.1004-5589.2018.02.031
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