New bidimensional empirical mode decomposition-based seismic attributes

Said Gaci, Mohammed Farfour

Research output: Chapter in Book/Report/Conference proceedingChapter


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
Number of pages9
ISBN (Electronic)9780323856171
Publication statusPublished - Jan 1 2021


  • Bidimensional empirical mode decomposition (2D EMD)
  • Seismic data

ASJC Scopus subject areas

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


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