世界核地质科学2025，Vol.42Issue(2)：317-328,12.
基于压缩感知的砂岩型铀矿地震勘探优化随机欠采样与数据重建
Optimized random subsampling and data reconstruction in seismic exploration of sandstone-type uranium deposits based on compressed sensing
摘要
Abstract
Excessively high acquisition cost is one of the main factors restricting the large-scale application of seismic exploration methods in geophysical prospecting of sandstone-type uranium deposits.Compressed sensing theory can achieve low-cost seismic data acquisition through compressed measurement and sparse reconstruction,thereby improving the economic benefits of seismic exploration methods for sandstone-type uranium deposits.In practical operations,the design of the measurement matrix in compressed sensing theory,that is,the quality of the subsampling method,is one of the keys to the success or failure of seismic data reconstruction.In this paper,the improved piecewise random subsampling method is combined with the edge-preserving piecewise random subsampling method,and an optimized edge-preserving piecewise random subsampling method is proposed.Through the Gram matrix analysis under different decimation ratio parameter conditions,forward-modeling data comparison and the real seismic data application of sandstone-type uranium deposits in the Songliao basin,it is shown that the optimized subsampling method proposed in this study has the best comprehensive performance and can be used as an effective method for random subsampling in seismic exploration of sandstone-type uranium deposits,which can provide a good data basis for subsequent sparse recovery.关键词
砂岩型铀矿地震勘探/压缩感知/优化的边缘保持分段随机欠采样/稀疏重建Key words
seismic exploration of sandstone-type uranium deposits/compressed sensing/optimized edge-preserving piecewise random subsampling/sparse recovery分类
信息技术与安全科学引用本文复制引用
黄昱丞,吴曲波,孔丽云,李子伟,乔宝平,曹成寅,潘自强,黄伟传..基于压缩感知的砂岩型铀矿地震勘探优化随机欠采样与数据重建[J].世界核地质科学,2025,42(2):317-328,12.基金项目
中核集团青年英才项目(编号:物QNYC2203)资助 Supported by China National Nuclear Corporation Young Talent Project(No.物QNYC2203) （编号:物QNYC2203）
