Separation of simultaneous source data via 2D synchrosqueezed curvelet transform

Zhi Hu; Jinghuai Gao; Guowei Zhang

doi:10.1190/segam2018-2995363.1

Separation of simultaneous source data via 2D synchrosqueezed curvelet transform

Zhi Hu
, Jinghuai Gao
, Guowei Zhang

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University
National Engineering Laboratory for Offshore Oil Exploration

Research output: Contribution to conference › Paper › peer-review

Abstract

The simultaneous source data acquisition has become a trend because this acquisition method has the advantages of high efficiency and low cost. Then how to separate the overlapped seismic data becomes a new problem that must be solved. The synchrosqueezed curvelet transform is presented as an alternative tool to separate blended banded wave-like components. We have developed the synchrosqueezed curvelet transform algorithm to separate the overlapped seismic data in this paper. Both numerical example and real data show that the overlapped seismic data in x-t domain can be clearly separated in curvelet domain with the synchrosqueezing technique and clustering technique.

Original language	English
Pages	5053-5057
Number of pages	5
DOIs	https://doi.org/10.1190/segam2018-2995363.1
State	Published - 2019
Event	88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018 - Anaheim, United States Duration: 14 Oct 2018 → 19 Oct 2018

Conference

Conference	88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018
Country/Territory	United States
City	Anaheim
Period	14/10/18 → 19/10/18

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10.1190/segam2018-2995363.1

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title = "Separation of simultaneous source data via 2D synchrosqueezed curvelet transform",

abstract = "The simultaneous source data acquisition has become a trend because this acquisition method has the advantages of high efficiency and low cost. Then how to separate the overlapped seismic data becomes a new problem that must be solved. The synchrosqueezed curvelet transform is presented as an alternative tool to separate blended banded wave-like components. We have developed the synchrosqueezed curvelet transform algorithm to separate the overlapped seismic data in this paper. Both numerical example and real data show that the overlapped seismic data in x-t domain can be clearly separated in curvelet domain with the synchrosqueezing technique and clustering technique.",

author = "Zhi Hu and Jinghuai Gao and Guowei Zhang",

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AU - Hu, Zhi

AU - Gao, Jinghuai

AU - Zhang, Guowei

PY - 2019

Y1 - 2019

N2 - The simultaneous source data acquisition has become a trend because this acquisition method has the advantages of high efficiency and low cost. Then how to separate the overlapped seismic data becomes a new problem that must be solved. The synchrosqueezed curvelet transform is presented as an alternative tool to separate blended banded wave-like components. We have developed the synchrosqueezed curvelet transform algorithm to separate the overlapped seismic data in this paper. Both numerical example and real data show that the overlapped seismic data in x-t domain can be clearly separated in curvelet domain with the synchrosqueezing technique and clustering technique.

AB - The simultaneous source data acquisition has become a trend because this acquisition method has the advantages of high efficiency and low cost. Then how to separate the overlapped seismic data becomes a new problem that must be solved. The synchrosqueezed curvelet transform is presented as an alternative tool to separate blended banded wave-like components. We have developed the synchrosqueezed curvelet transform algorithm to separate the overlapped seismic data in this paper. Both numerical example and real data show that the overlapped seismic data in x-t domain can be clearly separated in curvelet domain with the synchrosqueezing technique and clustering technique.

UR - https://www.scopus.com/pages/publications/85059365212

U2 - 10.1190/segam2018-2995363.1

DO - 10.1190/segam2018-2995363.1

M3 - 论文

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T2 - 88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018

Y2 - 14 October 2018 through 19 October 2018

ER -

Separation of simultaneous source data via 2D synchrosqueezed curvelet transform

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