Multicomponent Seismic Data Reconstruction Via Anti-Aliasing Vector POCS Method

0 INTRODUCTION Due to the ability to comprehensively utilize P and S wave information,multi-component seismic exploration has al-ready played an important role in fracture detection,lithology prediction,fluid identification,etc.,and it has also become an important technology for complex reservoir exploration(Yuan et al.,2021;Stewart et al.,2003).At the seismic data acquisi-tion stage,multicomponent seismic data are typically sparsely sampled or irregularly distributed due to the limits of the natu-ral environment and economic costs.Therefore,interpolating and regularizing the sparse and irregularly missing seismic trac-es can effectively suppress spatial aliasing and improve migra-tion and imaging quality.However,for the reconstruction of multicomponent seismic data,the current industry practice is to reconstruct each component independently.This separate re-construction strategy ignores the interrelationships among dif-ferent components and affects the vector structural characteris-tics of the seismic wavefield,making it hard to obtain ideal re-construction results.Therefore,it is necessary to develop vec-tor methods to treat multicomponent data as a whole for simul-taneous reconstruction(Wang et al.,2020).