基于压缩感知的快速Bregman地震数据重建方法

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中图分类号：P631.4 文献标志码：A

Abstract：Due to factors such as ground environment，equipment limitations，andcosts，seismicdatacollcted inthe field oftensuffer from missing traces.Therefore，therapidand efectivereconstruction of missng seismicdata iscrucial.Toaddressthis issue，we propose a seismic data reconstruction method based on compressed sensing theory，utilizing afast Bregman approach with multiscale and multidirectional curvelet transforms asthe sparse basis.The Bregman method decomposes the solution of the Li -norm minimization problem into a series of subproblems，which are efficiently and accurately solved usingthefast iterativeshrinkage-thresholdingalgorithm（FISTA），therebyachieving high-qualityreconstructionof misingdata.Experimentalresultsdemonstratethatthefast Bregman method basedoncompressd sensingcan eficientlyreconstruct complex synthetic seismic data and enhance the acuracyof iterativecomputations.Complared to LBMand FISTA methods， the proposed method achieves superior performance in both reconstruction efficiency and accuracy.

Keywords：seismicdata reconstruction；compressedsensing；fast Bregman method;fast iterativeshrinkagethresholding al

gorithm；curvelet transform

维反射地震勘探技木受到了业内的高度天汪」。（剩余11222字）