Contact M.D.Sacchi if you are interested in graduate or post-graduate work in the following areas: seismic imaging, noise attenuation with transform methods, seismic data reconstruction, inversion, application of imaging and novel data processing method to problems in exploration and global seismology.
The Signal Analysis and Imaging Group carries out research in the area of seismic signal processing, inversion, and imaging.
Our research is funded by a group of industrial sponsors with interest in the development of advance techniques and algorithms for processing and imaging seismic data.
Best Paper in the Recoder 2013
SAIG Annual Meeting to be held in Calgary, December 9-10 2013
Agenda
Venue: University of Alberta Calgary Office
Sam Kaplan recipient of the 2013 Clarence Karcher Award
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University of Alberta and SAIG graduate Sam Kaplan (PhD, 2010) has won the 2013 J. Clarence Karcher Award for young scientists who have made outstanding contributions to the science and technology of exploration geophysics.
Aaron Stanton receives best SEG 2012 poster award
A comparison of 5D reconstruction methods [pdf]
Mostafa Naghizadeh is the recipient of the Clarence Karcher Award 2011
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Mostafa was recognized for developing algorithms for multi-dimensional seismic data reconstruction. His work has been studied world-wide because of its importance to solving this ubiquitous seismic imaging problem.
Contact M.D.Sacchi if you are interested in graduate or post-graduate work in the following areas: seismic imaging, noise attenuation with transform methods, seismic data reconstruction, inversion, application of imaging and novel data processing method to problems in exploration and global seismology.
(a) The basis patches found from sparse coding.
(b) (left) Data from which the basis patches are found, (centre) ï¬ltered data, and (right) the residuals.
(a) Basis patches found by sparse coding. Sparse-coding for data-driven coherent and incoherent noise attenuation by Kaplan, Sacchi and Ulrych, 2009 (submitted).
(b) The CMP gather from which the basis are found. (c) Multiples estimate found using sparse coding. (d) Multiple suppression using sparse coding. (e) Multiples estimate using the parabolic Radon transform. (f) Multiple suppression using the parabolic Radon transform. From Sparse-coding for data-driven coherent and incoherent noise attenuation by Kaplan, Sacchi and Ulrych, 2009 (submitted).
Adaptive interpolation of curved events via recursive prediction filters. a) Data prior to interpolation. From Naghizadeh and Sacchi, 2009, F-X Adaptive Seismic Trace Interpolation, Geophysics 72 (6), V111-V118.
Adaptive interpolation of curved events via recursive prediction filters. b) Data after adaptive interpolation. From Naghizadeh and Sacchi, 2009, F-X Adaptive Seismic Trace Interpolation, Geophysics 72 (6), V111-V118.
A sparse (high resolution) local Radon transform is used to reconstruct aliased data. From Sacchi et. al, 2007, Local Wavefield Operators, Radon Transforms and Sparsity, EAGE Workshop on Curvelets, London
Amsalu Anagaw recieved the Best Student Geophysical oral Presentation award at GeoConvention 2014 for the paper Model parametrization strategies for Newton-based acoustic full waveform inversion.
Rob Ferner recieved the Best Geophysics Poster Award at the GeoConvention 2014 for Reverse time migration of prestack elastic data
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Signal Analysis and Imaging Group Department of Physics, University of Alberta Edmonton, AB, T6G 2G7, Canada |
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Phone: (780) 492-5034 |
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Fax: (780) 492-0714 |
