4D seismic data associated with the arcicle "Efficient big data assimilation through sparse representation: A 3D benchmark case study in seismic history matching",

DOI

The data are synthetic amplitude-versus-angle (AVA) data created for 4D seismic history matching study in the Brugge benchmark case study in the paper ““Efficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering,” to be published in PLOS ONE (previously presented in the ECMOR conference, 2016).

The data files were created by MATLAB R2016a.

Identifier
DOI http://dx.doi.org/doi:10.17632/cc7bn7dsv5.1
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:103537
Provenance
Creator Luo, X
Publisher Data Archiving and Networked Services (DANS)
Contributor Xiaodong Luo
Publication Year 2018
Rights info:eu-repo/semantics/closedAccess;License: http://creativecommons.org/licenses/by/4.0
Contact Xiaodong Luo
Representation
Resource Type Dataset
Coverage
Discipline Not stated
Temporal Point 2018-06-13T11:59:59Z