New bidimensional empirical mode decomposition-based seismic attributes

Said Gaci, Mohammed Farfour

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationMethods and Applications in Petroleum and Mineral Exploration and Engineering Geology
PublisherElsevier
Pages203-211
Number of pages9
ISBN (Electronic)9780323856171
DOIs
Publication statusPublished - 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)

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