石油物探2018，Vol.57Issue(2)：208-212,5.DOI:10.3969/j.issn.1000-1441.2018.02.005
基于稀疏反演的多震源地震混合采集数据分离技术
Deblending simultaneous-source seismic data using sparse inversion
朱立华1
作者信息
- 1. 中国石油化工股份有限公司石油物探技术研究院,江苏南京211103
- 折叠
摘要
Abstract
Traditional seismic data processes cannot be applied to simultaneous-source blended data without deblending.However,the filtering-based deblending method can damage effective signals when applied to complex data,completely drowning effective signals in strong noise.Therefore,a sparse inversion-based iterative deblending method is proposed.First,blended common-shot data are converted into the common receiver domain,enabling the recorded data from neighboring shots to be considered as incoherent noise based on dithering code.Next,based on sparse inversion,this method estimates the incoherent noise using the L1 norm threshold filter in the frequency domain.Finally,the estimated noise is subtracted from the original blended data using a self-adaptive shaping method.Tests of both synthetic and field datasets show its feasibility and effectiveness in deblending while protecting signals.关键词
多震源地震采集/混叠数据/时间延迟编码/稀疏反演/波场分离Key words
simultaneous-source seismic acquisition/blended data/dithering code/sparse inversion/wavefield separation分类
天文与地球科学引用本文复制引用
朱立华..基于稀疏反演的多震源地震混合采集数据分离技术[J].石油物探,2018,57(2):208-212,5.
