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) Ø RTG Grant at University of Washington
Better Seismic Imaging Using Compressed Sensing (Courtesy of Gilles Hennenfent and Felix Herrmann) -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------