In exploration or reflection seismology, seismic imaging creates images of the Earth's upper crust using seismic waves generated by artificial sources and recorded into extensive arrays of sensors (geophones or hydrophones). The technology is based on a complex, and rapidly evolving, mathematical theory that employs advanced solutions to a wave equation as tools to solve the general seismic inverse problem. The economic need for better images fuels research into improved imaging methods.

 

The workshop will consist of several minicourses addressing a broad range of theoretical and practical issues arising in seismic imaging including the use of curvelets  and other frames in seismic imaging, compressed sensing applied to seismic imaging, velocity estimation and inverse wave imaging. Each minicourse will consist of 3 one hour lectures. There will be computer labs associated with the lectures.

Organizers

 

Hart Smith and Gunther Uhlmann (University of Washington)

Minicourses

 

v Curvelets and the downward continuation and reverse time migration

approaches to seismic inverse scattering     

           Instructor: Maarten V. de Hoop (Purdue University)

            Lecture I   Lecture II  Lecture III

v Compressed sensing and sparse recovery in exploration seismology

           Instructor: Felix J. Herrmann--------------------------- 

                       (UBC—Seismic Laboratory for Imaging and Modeling, EOS)

            Lecture I   Lecture II   Lecture III

     Ref. I:   Missing-trace interpolation  File 1   File 2

     Ref. II:  Curvelet-domain matched filter, image recovery, preconditioning, and primary-multiple separation 

                       File 1   File 2   File 3

     Ref. III: Compressive sampling and Helmholtz  File 1   File 2

v Creation of seismic models and subsequent imaging using Matlab

           Instructor: Gary Margrave (University of Calgary)----

            References: Lecture 1  Computer Lab  Lecture 2  Lecture 3.1  Lecture 3.2  Lecture 3 (revised) 

                             Matlab Codes ppt

v Curvelets and Imaging---------------------------------------------------------

           Instructor: Hart Smith (University of Washington)-

            References:  Lecture I  Lecture II  Lecture III  Reference List   Computer Lab I   Computer Lab IV

v The nonlinear inverse problem of seismic velocities

      Instructor: William Symes (Rice University)

        Lecture I

       References: File 1    File 2    File 3   File 4

 

   One hour lectures will be given by-    

§  Jianliang Qian  (Michigan State University)

 Eulerian Gaussian beams for high frequency wave propagation

         References: File 1     File 2

§  Alison Malcolm (Massachusetts Institute of Technology)

 Imaging with Multiply-scattered Waves

           Lecture Slide   

Location of Workshop

All the lectures and labs will at THO 101 (click to see the campus map).

Please also check the workshop program.

Registration

Please send an email to Gunther Uhlmann (gunther@math.washington.edu) if you are interested in participating in the workshop.

Participants

Check here for List of Participants

Housing

For registration for housing at a dormitory, please click here.

For information on local hotels, please click here.

Visitor Information

For other visitor information, including maps, directions to campus, etc., please check here.

Sponsors

Ø Pacific Institute of Mathematical Sciences (PIMS)--------

Ø VIGRE grant at University of Washington----------------

Ø Department of Mathematics, University of Washington--------------

Ø Mathematical Sciences Research Institute (MSRI)

            

              Better Seismic Imaging Using Compressed Sensing (Courtesy of Gilles Hennenfent and Felix Herrmann)

                      

                                data_nugget                          interp_nugget

文本框: Reconstructed Image文本框: Data: 80% missing trace                                                                                                                                           

                      

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Pacific Institute for the Mathematical SciencesSee full size imageUW Math Department's VIGRE
grant           

          

 

               

 

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