the South China Sea;
reverse time migration of multiples;
seismic imaging;
D O I:
暂无
中图分类号:
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摘要:
The South China Sea where water depth is up to 5000 m is the most promising oil and gas exploration area in China in the future. The seismic data acquired in the South China Sea contain various types of multiples that need to be removed before imaging can be developed. However, compared with the conventional reflection migration, multiples carry more information of the underground structure that helps provide better subsurface imaging. This paper presents a method to modify the conventional reverse time migration so that multiple reflections can migrate to their correct locations in the subsurface. This approach replaces the numerical impulsive source with the recorded data including primaries and multiples on the surface, and replaces the recorded primary reflection data with multiples. In the reverse time migration process, multiples recorded on the surface are extrapolated backward in time to each depth level, while primaries and multiples recorded on the surface are extrapolated forward in time to the same depth levels. By matching the difference between the primary and multiple images using an objective function, this algorithm improves the primary resultant image. Synthetic tests on Sigsbee2B show that the proposed method can obtain a greater range and better underground illumination. Images of deep water in the South China Sea are obtained using multiples and their matching with primaries. They demonstrate that multiples can make up for the reflection illumination and the migration of multiples is an important research direction in the future.
机构:
Univ Hong Kong, Swire Inst Marine Sci, Hong Kong, Hong Kong, Peoples R ChinaUniv Hong Kong, Swire Inst Marine Sci, Hong Kong, Hong Kong, Peoples R China
Morton, B
Blackmore, G
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机构:Univ Hong Kong, Swire Inst Marine Sci, Hong Kong, Hong Kong, Peoples R China
机构:
Marine Biodiversity Collections of South China Sea/Key Laboratory of Tropical Marine Bio-Resources and Biology, South China Sea Institute of Oceanology, Chinese Academy of SciencesMarine Biodiversity Collections of South China Sea/Key Laboratory of Tropical Marine Bio-Resources and Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences
陈志云
张均龙
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机构:
Department of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of SciencesMarine Biodiversity Collections of South China Sea/Key Laboratory of Tropical Marine Bio-Resources and Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences
张均龙
连喜平
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机构:
Marine Biodiversity Collections of South China Sea/Key Laboratory of Tropical Marine Bio-Resources and Biology, South China Sea Institute of Oceanology, Chinese Academy of SciencesMarine Biodiversity Collections of South China Sea/Key Laboratory of Tropical Marine Bio-Resources and Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences
连喜平
谭烨辉
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机构:
Marine Biodiversity Collections of South China Sea/Key Laboratory of Tropical Marine Bio-Resources and Biology, South China Sea Institute of Oceanology, Chinese Academy of SciencesMarine Biodiversity Collections of South China Sea/Key Laboratory of Tropical Marine Bio-Resources and Biology, South China Sea Institute of Oceanology, Chinese Academy of Sciences
机构:
Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow 117997Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow 117997