Using a hybrid focal: Curvelet transform for deblending

Apostolos Kontakis; D.J. Verschuur

doi:10.1190/segam2017-17671812.1

Using a hybrid focal: Curvelet transform for deblending

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

Abstract

In this paper we examine the advantages of using a hybrid focal - curvelet transform for deblending. The focal transform is at best for curved events (typically at smaller offsets), while the curvelet transform is effective for linear events (e.g. at far offsets). Thus, the addition of the curvelet transform is very suited for events that cannot be easily reconstructed by the focal transform alone, such as linear events that are not in the range of the focal operators. The improved deblending capabilities of the hybrid focal - curvelet approach is demonstrated on both simulated and numerically blended field data.

Original language	English
Title of host publication	SEG Technical Program Expanded Abstracts 2017
Subtitle of host publication	24-29 September, Houston, USA
Pages	4903-4908
DOIs	https://doi.org/10.1190/segam2017-17671812.1
Publication status	Published - 2017
Event	SEG Annual Meeting 2017 - Houston, United States Duration: 24 Sept 2017 → 29 Sept 2018 Conference number: 87

Publication series

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

Conference

Conference	SEG Annual Meeting 2017
Abbreviated title	SEG 2017
Country/Territory	United States
City	Houston
Period	24/09/17 → 29/09/18

Keywords

deblending
simultaneous sources

Access to Document

10.1190/segam2017-17671812.1

Cite this

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title = "Using a hybrid focal: Curvelet transform for deblending",

abstract = "In this paper we examine the advantages of using a hybrid focal - curvelet transform for deblending. The focal transform is at best for curved events (typically at smaller offsets), while the curvelet transform is effective for linear events (e.g. at far offsets). Thus, the addition of the curvelet transform is very suited for events that cannot be easily reconstructed by the focal transform alone, such as linear events that are not in the range of the focal operators. The improved deblending capabilities of the hybrid focal - curvelet approach is demonstrated on both simulated and numerically blended field data.",

keywords = "deblending, simultaneous sources",

author = "Apostolos Kontakis and D.J. Verschuur",

year = "2017",

doi = "10.1190/segam2017-17671812.1",

language = "English",

series = "SEG Technical Program Expanded Abstracts 2017",

publisher = "SEG",

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booktitle = "SEG Technical Program Expanded Abstracts 2017",

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TY - GEN

T1 - Using a hybrid focal: Curvelet transform for deblending

AU - Kontakis, Apostolos

AU - Verschuur, D.J.

N1 - Conference code: 87

PY - 2017

Y1 - 2017

N2 - In this paper we examine the advantages of using a hybrid focal - curvelet transform for deblending. The focal transform is at best for curved events (typically at smaller offsets), while the curvelet transform is effective for linear events (e.g. at far offsets). Thus, the addition of the curvelet transform is very suited for events that cannot be easily reconstructed by the focal transform alone, such as linear events that are not in the range of the focal operators. The improved deblending capabilities of the hybrid focal - curvelet approach is demonstrated on both simulated and numerically blended field data.

AB - In this paper we examine the advantages of using a hybrid focal - curvelet transform for deblending. The focal transform is at best for curved events (typically at smaller offsets), while the curvelet transform is effective for linear events (e.g. at far offsets). Thus, the addition of the curvelet transform is very suited for events that cannot be easily reconstructed by the focal transform alone, such as linear events that are not in the range of the focal operators. The improved deblending capabilities of the hybrid focal - curvelet approach is demonstrated on both simulated and numerically blended field data.

KW - deblending

KW - simultaneous sources

U2 - 10.1190/segam2017-17671812.1

DO - 10.1190/segam2017-17671812.1

M3 - Conference contribution

T3 - SEG Technical Program Expanded Abstracts 2017

SP - 4903

EP - 4908

BT - SEG Technical Program Expanded Abstracts 2017

T2 - SEG Annual Meeting 2017

Y2 - 24 September 2017 through 29 September 2018

ER -

Using a hybrid focal: Curvelet transform for deblending

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Publication series

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Keywords

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