Seismic migration: A digital filtering process reducing oil exploration risks

Wail A. Mousa*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Humans consider oil and gas to be important natural energy resources: they are used to fuel our cars, generate power, and produce plastics and fertilizers, among other things. To produce oil or gas, we need first to determine the subsurface structure. This can be done by the reflection seismology method. This geophysical technique relies on the generation of artificial seismic waves and the recording of their reflections from different geological layers. However, such acquired seismic data does not reveal an accurate image of the subsurface unless we use appropriate signal processing such as frequency and/or wavenumber filtering, multichannel and/ or multidimensional filtering, deconvolution, and so on [1].

Original languageEnglish
Article number6179826
Pages (from-to)117-123
Number of pages7
JournalIEEE Signal Processing Magazine
Volume29
Issue number3
DOIs
StatePublished - May 2012

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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