Focal deblending using smart subsets of OBN 5D data

A. Kontakis*, D. J. Verschuur

*Corresponding author for this work

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    23 Downloads (Pure)


    Although theoretically straightforward, adapting focal deblending to realistic 5D acquisition scenarios can be challenging in practice. The two main issues that have to be dealt with are insufficiently sampled spatial dimensions and the computational effort needed for the deblending inversion. In order to deal with both issues, we propose dividing the data in 'smart' subsets, specialized for the acquisition type. Then, the deblending problem can be divided into a number of smaller problems that can be solved independently. The focal transform used for the deblending is also redefined to fit the geometry of the subsets. We examine the case of OBN acquisition and test the performance of the proposed scheme on numerically blended field data.

    Original languageEnglish
    Title of host publication79th EAGE Conference and Exhibition 2017
    ISBN (Electronic)9789462822177
    Publication statusPublished - 2017
    Event79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter - Paris, France
    Duration: 12 Jun 201715 Jun 2017
    Conference number: 79


    Conference79th EAGE Conference and Exhibition 2017

    Cite this