New bidimensional empirical mode decomposition-based seismic attributes

Said Gaci; Mohammed Farfour

doi:10.1016/B978-0-323-85617-1.00010-2

New bidimensional empirical mode decomposition-based seismic attributes

Said Gaci, Mohammed Farfour

Earth Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This study presents time-frequency attributes based on the bidimensional empirical mode decomposition (2D EMD). This methods allows decomposition of a bidimensional signal into intrinsic mode functions (IMFs) (or modes). Application on Algerian seismic sections shows that meaningful attributes, specifically instantaneous Hilbert spectral amplitude attributes, that resulted from the computed IMFs help detect subtle hydrocarbon traps that cannot be identified by the conventional attributes.

Original language	English
Title of host publication	Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology
Publisher	Elsevier
Pages	203-211
Number of pages	9
ISBN (Electronic)	9780323856171
DOIs	https://doi.org/10.1016/B978-0-323-85617-1.00010-2
Publication status	Published - Jan 1 2021

Keywords

Bidimensional empirical mode decomposition (2D EMD)
Seismic data

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)
Business, Management and Accounting(all)

Access to Document

10.1016/B978-0-323-85617-1.00010-2

Cite this

@inbook{5477146499da4705b720f90e242d089e,

title = "New bidimensional empirical mode decomposition-based seismic attributes",

abstract = "This study presents time-frequency attributes based on the bidimensional empirical mode decomposition (2D EMD). This methods allows decomposition of a bidimensional signal into intrinsic mode functions (IMFs) (or modes). Application on Algerian seismic sections shows that meaningful attributes, specifically instantaneous Hilbert spectral amplitude attributes, that resulted from the computed IMFs help detect subtle hydrocarbon traps that cannot be identified by the conventional attributes.",

keywords = "Bidimensional empirical mode decomposition (2D EMD), Seismic data",

author = "Said Gaci and Mohammed Farfour",

year = "2021",

month = jan,

day = "1",

doi = "10.1016/B978-0-323-85617-1.00010-2",

language = "English",

pages = "203--211",

booktitle = "Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology",

publisher = "Elsevier",

}

TY - CHAP

T1 - New bidimensional empirical mode decomposition-based seismic attributes

AU - Gaci, Said

AU - Farfour, Mohammed

PY - 2021/1/1

Y1 - 2021/1/1

N2 - This study presents time-frequency attributes based on the bidimensional empirical mode decomposition (2D EMD). This methods allows decomposition of a bidimensional signal into intrinsic mode functions (IMFs) (or modes). Application on Algerian seismic sections shows that meaningful attributes, specifically instantaneous Hilbert spectral amplitude attributes, that resulted from the computed IMFs help detect subtle hydrocarbon traps that cannot be identified by the conventional attributes.

AB - This study presents time-frequency attributes based on the bidimensional empirical mode decomposition (2D EMD). This methods allows decomposition of a bidimensional signal into intrinsic mode functions (IMFs) (or modes). Application on Algerian seismic sections shows that meaningful attributes, specifically instantaneous Hilbert spectral amplitude attributes, that resulted from the computed IMFs help detect subtle hydrocarbon traps that cannot be identified by the conventional attributes.

KW - Bidimensional empirical mode decomposition (2D EMD)

KW - Seismic data

UR - http://www.scopus.com/inward/record.url?scp=85127689193&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85127689193&partnerID=8YFLogxK

U2 - 10.1016/B978-0-323-85617-1.00010-2

DO - 10.1016/B978-0-323-85617-1.00010-2

M3 - Chapter

AN - SCOPUS:85127689193

SP - 203

EP - 211

BT - Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology

PB - Elsevier

ER -

New bidimensional empirical mode decomposition-based seismic attributes

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this