IGGCAS OpenIR  > 油气资源研究院重点实验室
Interface Controlled Multiple Elimination by Sparsity Inversion
Bai, Lanshu1; Liu, Yike2; Lu, Huiyi3
2020-07-01
Source PublicationCOMMUNICATIONS IN COMPUTATIONAL PHYSICS
ISSN1815-2406
Volume28Issue:1Pages:459-476
AbstractRemoving internalmultiples remains an important but challenging problem in seismic processing. The generalized Estimation of Primaries by Sparsity Inversion (EPSI) method minimizes data residuals between the calculated and observed waveformusing the sparse constraint of primary impulse responses to predictmultiples and remove them directly, instead of using the conventional adaptive subtraction method. Even though the generalized EPSI method provides a good estimate of the primaries and multiples when they overlap, it is limited by intensive computational cost. In this paper, we introduce two strategies to improve computational efficiency. First, the interface-controlled strategy is introduced by only selecting high-amplitude primary responses related to the interfaces with strong impedance contrasts to estimate multiples. The computational time is approximately proportional to the number of involved reflectors and usually, most of the internal multiple energy in the data is only related to a few strong reflectors. Therefore the modified method can remove most of the internal multiples in fewer computations than in the generalized EPSI, which loops through all the interfaces. Next, an approximate formula for estimating primary impulse responses is proposed by neglecting a computationally intensive term which corresponds to the primary responses estimated from internal multiples. According to our analyses and experiments, inmost cases, the contribution of this term is negligible because the internal multiples are weak. Therefore, the computational efficiency can be improved without significantly losing quality when estimating most primaries and multiples. In order to demonstrate this, multiple elimination of a two-layered simple data and the Pluto data are implemented. We find that the modified method can yield reliable results that require fewer computations. The improvements of the modified method may encourage the use of the generalized EPSI method in industry.
KeywordMultiple internal multiple interface-controlled multiple elimination estimation of primaries by sparsity inversion
DOI10.4208/cicp.OA-2018-0077
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; Seismometry Talent Training Project of the China Earthquake Administration ; Seismometry Talent Training Project of the China Earthquake Administration ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; Seismometry Talent Training Project of the China Earthquake Administration ; Seismometry Talent Training Project of the China Earthquake Administration ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; Seismometry Talent Training Project of the China Earthquake Administration ; Seismometry Talent Training Project of the China Earthquake Administration ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; Seismometry Talent Training Project of the China Earthquake Administration ; Seismometry Talent Training Project of the China Earthquake Administration
WOS KeywordREVERSE TIME MIGRATION ; ITERATIVE INVERSION ; INTERNAL MULTIPLES ; SCATTERING ; PRIMARIES
Language英语
Funding ProjectNational Natural Science Foundation of China[41704061] ; National Natural Science Foundation of China[41730425] ; National Major Project of China[2017ZX05008-007] ; Seismometry Talent Training Project of the China Earthquake Administration[CEA-JC/QNCZ-18322]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; Seismometry Talent Training Project of the China Earthquake Administration ; Seismometry Talent Training Project of the China Earthquake Administration ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; Seismometry Talent Training Project of the China Earthquake Administration ; Seismometry Talent Training Project of the China Earthquake Administration ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; Seismometry Talent Training Project of the China Earthquake Administration ; Seismometry Talent Training Project of the China Earthquake Administration ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Major Project of China ; National Major Project of China ; Seismometry Talent Training Project of the China Earthquake Administration ; Seismometry Talent Training Project of the China Earthquake Administration
WOS Research AreaPhysics
WOS SubjectPhysics, Mathematical
WOS IDWOS:000532318100023
PublisherGLOBAL SCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/96712
Collection油气资源研究院重点实验室
Corresponding AuthorBai, Lanshu
Affiliation1.China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
3.Kerogen Energy Serv Co Ltd, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Bai, Lanshu,Liu, Yike,Lu, Huiyi. Interface Controlled Multiple Elimination by Sparsity Inversion[J]. COMMUNICATIONS IN COMPUTATIONAL PHYSICS,2020,28(1):459-476.
APA Bai, Lanshu,Liu, Yike,&Lu, Huiyi.(2020).Interface Controlled Multiple Elimination by Sparsity Inversion.COMMUNICATIONS IN COMPUTATIONAL PHYSICS,28(1),459-476.
MLA Bai, Lanshu,et al."Interface Controlled Multiple Elimination by Sparsity Inversion".COMMUNICATIONS IN COMPUTATIONAL PHYSICS 28.1(2020):459-476.
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