{"title":"A Wave-field Decomposition for Reverse Time Migration to Reduce the Low-wavenumber Artifact","authors":"Fei Lei, Xinrong Mao, Jin Liu, Yuanguo Zhou","doi":"10.1109/CSQRWC.2019.8799134","DOIUrl":null,"url":null,"abstract":"Reverse time migration (RTM) is a powerful tool for reconstructing images, and has great advantage in imaging complex velocity models. However, traditional cross-correlation imaging condition brings low-wavenumber artifact (LWA). In this paper, we present a wave-field decomposition method to reduce these high-amplitude noises and achieve better imaging results.The main procedures include decompose source and receiver wave fields into up-going and down-going wave components, then a cross-correlation imaging condition are adopted to image the wave fields respectively. Several numerical examples indicate that the proposed method can effectively suppress LWA and obtain high-quality reconstructed images.","PeriodicalId":254491,"journal":{"name":"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSQRWC.2019.8799134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Reverse time migration (RTM) is a powerful tool for reconstructing images, and has great advantage in imaging complex velocity models. However, traditional cross-correlation imaging condition brings low-wavenumber artifact (LWA). In this paper, we present a wave-field decomposition method to reduce these high-amplitude noises and achieve better imaging results.The main procedures include decompose source and receiver wave fields into up-going and down-going wave components, then a cross-correlation imaging condition are adopted to image the wave fields respectively. Several numerical examples indicate that the proposed method can effectively suppress LWA and obtain high-quality reconstructed images.