3D Receiver deghosting of seismic streamer data via L1 inversion

Y. Sun; D. J. Verschuur

doi:10.1190/segam2017-17335240.1

3D Receiver deghosting of seismic streamer data via L1 inversion

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Receiver deghosting for seismic streamer data is a longstanding challenge in seismic data processing. We propose a novel 3D receiver deghosting method, which is capable of handling both horizontal and slanted streamer data in a theoretically rigorous manner. Our method honors the wave propagation phenomena in a true 3D sense, and L1 inversion is the mathematical engine behind our method. Furthermore, in order to better meet the L1 constraint, we also designed a redundant hybrid Radon dictionary for our method to work with. A synthetic dataset from a modified 3D EAGE/SEG Overthrust model and a Red Sea field dataset are used to demonstrate our method, and results are successful.

Original language	English
Title of host publication	79th EAGE Conference and Exhibition 2017
Editors	A.M. Popovici, S. Fomel
Publisher	EAGE
Pages	4940-4944
ISBN (Electronic)	9789462822177
DOIs	https://doi.org/10.1190/segam2017-17335240.1
Publication status	Published - 2017
Event	79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter - Paris, France Duration: 12 Jun 2017 → 15 Jun 2017 Conference number: 79

Publication series

Name	SEG Technical Program Expanded Abstracts 2017
Publisher	SEG
ISSN (Electronic)	1949-4645

Conference

Conference	79th EAGE Conference and Exhibition 2017
Country/Territory	France
City	Paris
Period	12/06/17 → 15/06/17

Keywords

3D
Algorithm
broadband
inversion
radon

Access to Document

10.1190/segam2017-17335240.1

Cite this

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title = "3D Receiver deghosting of seismic streamer data via L1 inversion",

abstract = "Receiver deghosting for seismic streamer data is a longstanding challenge in seismic data processing. We propose a novel 3D receiver deghosting method, which is capable of handling both horizontal and slanted streamer data in a theoretically rigorous manner. Our method honors the wave propagation phenomena in a true 3D sense, and L1 inversion is the mathematical engine behind our method. Furthermore, in order to better meet the L1 constraint, we also designed a redundant hybrid Radon dictionary for our method to work with. A synthetic dataset from a modified 3D EAGE/SEG Overthrust model and a Red Sea field dataset are used to demonstrate our method, and results are successful.",

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doi = "10.1190/segam2017-17335240.1",

language = "English",

series = "SEG Technical Program Expanded Abstracts 2017",

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pages = "4940--4944",

editor = "A.M. Popovici and S. Fomel",

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T1 - 3D Receiver deghosting of seismic streamer data via L1 inversion

AU - Sun, Y.

AU - Verschuur, D. J.

N1 - Conference code: 79

PY - 2017

Y1 - 2017

N2 - Receiver deghosting for seismic streamer data is a longstanding challenge in seismic data processing. We propose a novel 3D receiver deghosting method, which is capable of handling both horizontal and slanted streamer data in a theoretically rigorous manner. Our method honors the wave propagation phenomena in a true 3D sense, and L1 inversion is the mathematical engine behind our method. Furthermore, in order to better meet the L1 constraint, we also designed a redundant hybrid Radon dictionary for our method to work with. A synthetic dataset from a modified 3D EAGE/SEG Overthrust model and a Red Sea field dataset are used to demonstrate our method, and results are successful.

AB - Receiver deghosting for seismic streamer data is a longstanding challenge in seismic data processing. We propose a novel 3D receiver deghosting method, which is capable of handling both horizontal and slanted streamer data in a theoretically rigorous manner. Our method honors the wave propagation phenomena in a true 3D sense, and L1 inversion is the mathematical engine behind our method. Furthermore, in order to better meet the L1 constraint, we also designed a redundant hybrid Radon dictionary for our method to work with. A synthetic dataset from a modified 3D EAGE/SEG Overthrust model and a Red Sea field dataset are used to demonstrate our method, and results are successful.

KW - 3D

KW - Algorithm

KW - broadband

KW - inversion

KW - radon

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U2 - 10.1190/segam2017-17335240.1

DO - 10.1190/segam2017-17335240.1

M3 - Conference contribution

T3 - SEG Technical Program Expanded Abstracts 2017

SP - 4940

EP - 4944

BT - 79th EAGE Conference and Exhibition 2017

A2 - Popovici, A.M.

A2 - Fomel, S.

PB - EAGE

T2 - 79th EAGE Conference and Exhibition 2017

Y2 - 12 June 2017 through 15 June 2017

ER -

3D Receiver deghosting of seismic streamer data via L1 inversion

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Keywords

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