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dc.contributor.authorSchuster, Gerard T.
dc.contributor.authorLiu, Z.
dc.date.accessioned2020-03-02T13:33:23Z
dc.date.available2020-03-02T13:33:23Z
dc.date.issued2019-08-26
dc.identifier.citationSchuster, G., & Liu, Z. (2019). Least Squares Migration: Current and Future Directions. 81st EAGE Conference and Exhibition 2019. doi:10.3997/2214-4609.201901270
dc.identifier.doi10.3997/2214-4609.201901270
dc.identifier.urihttp://hdl.handle.net/10754/661844
dc.description.abstractLeast squares migration (LSM) finds the reflectivity distribution that minimizes the regularized sum of the squared differences between the predicted and observed data. Many studies show that LSM can sometimes reduce migration artifacts due to ringy source wavelets, sparse source-receiver sampling, and weak illumination in the subsurface due to defocusing/geometric spreading of seismic waves. The most significant liability of LSM is that it costs about two rounds of migration or more, and the goal is to reduce this cost to be about that for standard migration. We now overview the current procedures of applying LSM to seismic data, point out their benefits and challenges, and suggest possible “Roads Ahead” for the improvement of LSM.
dc.publisherEAGE Publications
dc.relation.urlhttp://www.earthdoc.org/publication/publicationdetails/?publication=98127
dc.rightsArchived with thanks to EAGE Publications BV
dc.titleLeast squares migration: Current and future directions
dc.typeConference Paper
dc.contributor.departmentCenter for Subsurface Imaging and Fluid Modeling
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentKing Abdullah University of Science and Technology
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.conference.date2019-06-03 to 2019-06-06
dc.conference.name81st EAGE Conference and Exhibition 2019
dc.conference.locationLondon, GBR
dc.eprint.versionPre-print
kaust.personSchuster, Gerard T.
kaust.personLiu, Z.


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