Grant: Collaborative Research and Development Grants
University of British Columbia
$710,873.00
Dynamic Nonlinear Optimization for Imaging in Seismic Exploration (DNOISE)
EF 2014-15
Résumé
DNOISE II: Dynamic Nonlinear Optimization for Imaging in Seismic Exploration is a multidisciplinary research project that involves faculty from the Mathematics, Computer Science, and Earth and Ocean Sciences Departments at the University of British Columbia. DNOISE II constitutes a transformative research program towards a new paradigmin seismic exploration where the acquisition- and processing-related costs are no longer determined by the survey area and discretization but by transform-domain sparsity of the final result. In this approach, we rid ourselves from the confinements of conventional overly stringent sampling criteria that call for regular sampling with sequentiual sources at Nyquist rates. By adapting the principles of compressive sensing, DNOISE II promotes a ground-up formulation for seismic imaging where adverse subsampling-related artifacts areremoved by intelligent simultaneous-acquisition design and recovery by transform-domain sparsity promotion. This development---in conjunction with our track records in sparse recovery and time-harmonic Helmholtz solvers---puts us in an unique position to deliver on fundamental breakthroughs in the development and implementation of the next-generation of processing, imaging, and full-waveform inversion solutions.Form 101 (2009 W), page 3 of 9Other Language Version of Summary (optional).Valid 264073 Herrmann
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
375142-2008
Name nom
Herrmann, Felix
Department département
Earth, Ocean and Atmospheric Sciences
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2008
Award amount
710873
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
Area of application code
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
4302
Research subject group en
Geophysics
Research subject group fr
Géophysique
Research subject en
Seismology
Research subject fr
Séismologie
Partie
5
Nb partie
6
Application title
Dynamic Nonlinear Optimization for Imaging in Seismic Exploration (DNOISE)
Keyword
NSERC
Application summary
DNOISE II: Dynamic Nonlinear Optimization for Imaging in Seismic Exploration is a multidisciplinary research project that involves faculty from the Mathematics, Computer Science, and Earth and Ocean Sciences Departments at the University of British Columbia. DNOISE II constitutes a transformative research program towards a new paradigmin seismic exploration where the acquisition- and processing-related costs are no longer determined by the survey area and discretization but by transform-domain sparsity of the final result. In this approach, we rid ourselves from the confinements of conventional overly stringent sampling criteria that call for regular sampling with sequentiual sources at Nyquist rates. By adapting the principles of compressive sensing, DNOISE II promotes a ground-up formulation for seismic imaging where adverse subsampling-related artifacts areremoved by intelligent simultaneous-acquisition design and recovery by transform-domain sparsity promotion. This development---in conjunction with our track records in sparse recovery and time-harmonic Helmholtz solvers---puts us in an unique position to deliver on fundamental breakthroughs in the development and implementation of the next-generation of processing, imaging, and full-waveform inversion solutions.Form 101 (2009 W), page 3 of 9Other Language Version of Summary (optional).Valid 264073 Herrmann