SEG Technical Program Expanded Abstracts 2016 2016
DOI: 10.1190/segam2016-13868686.1
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Adaptive deghosting for complex geometries in the Gulf of Mexico

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Cited by 18 publications
(2 citation statements)
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“…To ensure that all four datasets combine seamlessly, the four legacy datasets were re-datumed to mean sea level during adaptive deghosting (Rickett, 2014;Zarkhidze, et al, 2016) and was followed by water velocity correction (Carvill, 2009) and survey matching. Following this, the combined legacy data were used together for surface multiple prediction (Dragoset et al, 2010) to increase crossline aperture, and therefore improving the surfacemultiple modeling and elimination.…”
Section: Data Preparation For Imagingmentioning
confidence: 99%
“…To ensure that all four datasets combine seamlessly, the four legacy datasets were re-datumed to mean sea level during adaptive deghosting (Rickett, 2014;Zarkhidze, et al, 2016) and was followed by water velocity correction (Carvill, 2009) and survey matching. Following this, the combined legacy data were used together for surface multiple prediction (Dragoset et al, 2010) to increase crossline aperture, and therefore improving the surfacemultiple modeling and elimination.…”
Section: Data Preparation For Imagingmentioning
confidence: 99%
“…안정성 평가나 지하 매설물 탐지와 같은 목적을 수행하 기 위해서는 높은 해상도의 지하 지질구조 영상화가 필수 적이어서 탐사자료의 해상도를 향상시킬 수 있는 자료처리 기법 적용이 요구된다. 탄성파 탐사자료의 해상도를 저하시키는 여러 요인 중 고스트(Ghost)는 해수면으로부터 반사되어 기록되는 매우 짧은 주기를 갖는 신호를 의미한다 (Lindsey, 1960) (Posthumus, 1993;Carlson et al, 2007;Soubaras and Dowle, 2010)과 취득된 자료에 대해 고스트를 제거하는 기 법 등이 활발히 연구되고 있다 (Grion et al, 2015;Hardwick et al, 2015;Zarkhidze et al, 2016;Sun and Verschuur, 2018)…”
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