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

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 https://doi.org/10.17632/cc7bn7dsv5.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-qu-zy2q
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/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other