Design, implementation and application of the Marchenko plane-wave algorithm

The Marchenko algorithm can suppress the disturbing effects of internal multiples that are present in seismic reflection data. To achieve this, a set of coupled equations with four unknowns is solved. These coupled equations are separated into a set of two equations with two unknowns using a time wi...

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Published inComputers & geosciences Vol. 187; p. 105577
Main Authors Thorbecke, Jan, Almobarak, Mohammed, IJsseldijk, Johno van, Brackenhoff, Joeri, Meles, Giovanni, Wapenaar, Kees
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.05.2024
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Online AccessGet full text
ISSN0098-3004
1873-7803
1873-7803
DOI10.1016/j.cageo.2024.105577

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Abstract The Marchenko algorithm can suppress the disturbing effects of internal multiples that are present in seismic reflection data. To achieve this, a set of coupled equations with four unknowns is solved. These coupled equations are separated into a set of two equations with two unknowns using a time window. The two unknown focusing functions can be resolved by an iterative or direct method. These focusing functions, when applied to reflection data, create virtual point-sources inside the medium. Combining individual virtual point-sources into a plane-wave leads to an efficient computation of images without internal multiples. In this study the internal multiples are eliminated in a redatuming step which is part of the imaging algorithm. To use the Marchenko algorithm with plane-wave focusing functions, the time window that separates the unknowns must be adapted. The design of the plane-wave Marchenko algorithm is explained and illustrated with numerically modeled and measured reflection data. •Internal multiple removal based on Marchenko algorithm.•Efficient data processing by constructing plane-waves.•Explanation of counter intuitive time-windows.•Results are reproducible with provided source-code.
AbstractList The Marchenko algorithm can suppress the disturbing effects of internal multiples that are present in seismic reflection data. To achieve this, a set of coupled equations with four unknowns is solved. These coupled equations are separated into a set of two equations with two unknowns using a time window. The two unknown focusing functions can be resolved by an iterative or direct method. These focusing functions, when applied to reflection data, create virtual point-sources inside the medium. Combining individual virtual point-sources into a plane-wave leads to an efficient computation of images without internal multiples. In this study the internal multiples are eliminated in a redatuming step which is part of the imaging algorithm. To use the Marchenko algorithm with plane-wave focusing functions, the time window that separates the unknowns must be adapted. The design of the plane-wave Marchenko algorithm is explained and illustrated with numerically modeled and measured reflection data. •Internal multiple removal based on Marchenko algorithm.•Efficient data processing by constructing plane-waves.•Explanation of counter intuitive time-windows.•Results are reproducible with provided source-code.
ArticleNumber 105577
Author Thorbecke, Jan
IJsseldijk, Johno van
Brackenhoff, Joeri
Meles, Giovanni
Almobarak, Mohammed
Wapenaar, Kees
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  organization: Delft University of Technology, Department of Geoscience and Engineering, P.O. Box 5048, 2600 GA, Delft, The Netherlands
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  givenname: Mohammed
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  surname: IJsseldijk
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  surname: Wapenaar
  fullname: Wapenaar, Kees
  email: C.P.A.Wapenaar@tudelft.nl
  organization: Delft University of Technology, Department of Geoscience and Engineering, P.O. Box 5048, 2600 GA, Delft, The Netherlands
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Keywords OpenSource implementation
Marchenko algorithm
Plane-waves
Internal multiples
Language English
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Snippet The Marchenko algorithm can suppress the disturbing effects of internal multiples that are present in seismic reflection data. To achieve this, a set of...
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StartPage 105577
SubjectTerms Internal multiples
Marchenko algorithm
OpenSource implementation
Plane-waves
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Title Design, implementation and application of the Marchenko plane-wave algorithm
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