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Peyman P. Moghaddam, “Randomized full-waveform inversion”, SINBAD Fall consortium talks. SINBAD, 2010.
Peyman P. Moghaddam, Henk Keers, Felix J. Herrmann, and Wim A. Mulder, “A new optimization approach for source-encoding full-waveform inversion”, Geophysics, vol. 78, pp. R125-R132, 2013.
Peyman P. Moghaddam, “Imaging operator approximation using curvelets”, in SINBAD 2006, 2006.
Peyman P. Moghaddam and Felix J. Herrmann, “Migration preconditioning with curvelets”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 2204-2207.
Peyman P. Moghaddam, “Reverse-time migration amplitude recovery with curvelets”, in SINBAD 2008, 2008.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Robust seismic-images amplitude recovery using curvelets”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2225-2229.
Peyman P. Moghaddam and Felix J. Herrmann, “Randomized full-waveform inversion: a dimenstionality-reduction approach”, in SEG Technical Program Expanded Abstracts, 2010, vol. 29, pp. 977-982.
Peyman P. Moghaddam, “Curvelet-based migration amplitude recovery”, The University of British Columbia, Vancouver, 2010.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Seismic amplitude recovery with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Peyman P. Moghaddam, Cody R. Brown, and Felix J. Herrmann, “Curvelet-based migration preconditioning”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 2211-2215.
Nick Moldoveanu, Philip Bilsby, John Quigley, Rajiv Kumar, and Felix J. Herrmann, “Compressive sensing based design for land and OBS surveys: The noise issue”, in SEG Technical Program Expanded Abstracts, 2018, pp. 102-106.
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Julie Nutini, Michael P. Friedlander, and Felix J. Herrmann, “Putting the curvature back into sparse solvers”, SINBAD Fall consortium talks. SINBAD, 2013.
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Felix Oghenekohwo, “Compressed sensing: a tool for eliminating repeatability in acquisition of 4D (time-lapse) seismic data”, SINBAD Fall consortium talks. SINBAD, 2012.
Felix Oghenekohwo, Haneet Wason, and Felix J. Herrmann, “Asymmetric sampling for time-lapse surveys”, SINBAD Fall consortium talks. SINBAD, 2016.
Felix Oghenekohwo and Felix J. Herrmann, “Assessing the need for repeatability in acquisition of time-lapse data”, in CSEG Annual Conference Proceedings, 2013.
Felix Oghenekohwo, Haneet Wason, Ernie Esser, and Felix J. Herrmann, “Randomized sampling without repetition in time-lapse seismic surveys”, SINBAD Spring consortium talks. SINBAD, 2014.
Felix Oghenekohwo, Rajiv Kumar, Ernie Esser, and Felix J. Herrmann, “Use what`s in common: time-lapse FWI with distributed Compressive Sensing”, SINBAD Fall consortium talks. SINBAD, 2014.
Felix Oghenekohwo, Rajiv Kumar, Ernie Esser, and Felix J. Herrmann, “Using common information in compressive time-lapse full-waveform inversion”, in EAGE Annual Conference Proceedings, 2015.
Felix Oghenekohwo and Felix J. Herrmann, “Highly repeatable time-lapse seismic with distributed Compressive Sensing–-mitigating effects of calibration errors”, The Leading Edge, vol. 36, pp. 688-694, 2017.
Felix Oghenekohwo, Ernie Esser, and Felix J. Herrmann, “Estimating 4D differences in time-lapse using randomized sampling techniques”, SINBAD Fall consortium talks. SINBAD, 2013.
Felix Oghenekohwo, Rajiv Kumar, and Felix J. Herrmann, “Randomized sampling without repetition in time-lapse surveys”, in SEG Technical Program Expanded Abstracts, 2014, pp. 4848-4852.
Felix Oghenekohwo, Rajiv Kumar, Haneet Wason, Ernie Esser, and Felix J. Herrmann, “Randomized subsampling in time-lapse surveys and recovery techniques”, SINBAD Fall consortium talks. SINBAD, 2014.
Felix Oghenekohwo and Felix J. Herrmann, “Time-lapse imaging with multiples and distributed compressed sensing”, SINBAD Fall consortium talks. SINBAD, 2015.
Felix Oghenekohwo and Felix J. Herrmann, “Compressive time-lapse seismic data processing using shared information”, in CSEG Annual Conference Proceedings, 2015.
Felix Oghenekohwo, Haneet Wason, Ernie Esser, and Felix J. Herrmann, “Low-cost time-lapse seismic with distributed compressive sensing–-Part 1: exploiting common information among the vintages”, Geophysics, vol. 82, pp. P1-P13, 2017.

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