FWI and MVA the natural way

Handle URI:
http://hdl.handle.net/10754/575768
Title:
FWI and MVA the natural way
Authors:
Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 ) ; Wu, Zedong
Abstract:
Integrating migration velocity analysis (MVA) and full waveform inversion (FWI) can help reduce the high nonlinearity of the classic FWI objective function. The combination of inverting for the long and short wavelength components of the velocity model using a dual objective function that is sensitive to both components is still very expensive and have produced mixed results. We develop an approach that includes both components integrated to complement each other. We specifically utilize the image to generate reflections in our synthetic data only when the velocity model is not capable of producing such reflections. As a result, we get the MVA working when we need it, and mitigate it's influence when the velocity model produces accurate reflections (possible first for the low frequencies). Applications to a layered model, as well as, the Marmousi model demonstrate some of the approach features.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program; Earth Science and Engineering Program
Publisher:
EAGE Publications
Journal:
Proceedings 76th EAGE Conference and Exhibition 2014
Conference/Event name:
76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014
Issue Date:
2014
DOI:
10.3997/2214-4609.20141091
Type:
Conference Paper
ISBN:
9781632666949
Appears in Collections:
Conference Papers; Environmental Science and Engineering Program; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorAlkhalifah, Tariq Alien
dc.contributor.authorWu, Zedongen
dc.date.accessioned2015-08-24T09:25:40Zen
dc.date.available2015-08-24T09:25:40Zen
dc.date.issued2014en
dc.identifier.isbn9781632666949en
dc.identifier.doi10.3997/2214-4609.20141091en
dc.identifier.urihttp://hdl.handle.net/10754/575768en
dc.description.abstractIntegrating migration velocity analysis (MVA) and full waveform inversion (FWI) can help reduce the high nonlinearity of the classic FWI objective function. The combination of inverting for the long and short wavelength components of the velocity model using a dual objective function that is sensitive to both components is still very expensive and have produced mixed results. We develop an approach that includes both components integrated to complement each other. We specifically utilize the image to generate reflections in our synthetic data only when the velocity model is not capable of producing such reflections. As a result, we get the MVA working when we need it, and mitigate it's influence when the velocity model produces accurate reflections (possible first for the low frequencies). Applications to a layered model, as well as, the Marmousi model demonstrate some of the approach features.en
dc.publisherEAGE Publicationsen
dc.titleFWI and MVA the natural wayen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalProceedings 76th EAGE Conference and Exhibition 2014en
dc.conference.date16 June 2014 through 19 June 2014en
dc.conference.name76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014en
dc.conference.locationAmsterdamen
kaust.authorAlkhalifah, Tariq Alien
kaust.authorWu, Zedongen
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