Download the full-sized PDF of Near real-time estimation of the seismic source parameters in a compressed domainDownload the full-sized PDF



Permanent link (DOI):


Export to: EndNote  |  Zotero  |  Mendeley


This file is in the following communities:

Graduate Studies and Research, Faculty of


This file is in the following collections:

Theses and Dissertations

Near real-time estimation of the seismic source parameters in a compressed domain Open Access


Other title
sparse representation
seismic source parameter inversion
time-frequency analysis
compressive sensing
resolution analysis
noise attenuation
group sparsity
source mechanism inversion
Type of item
Degree grantor
University of Alberta
Author or creator
Vera Rodriguez, Ismael A.
Supervisor and department
Sacchi, Mauricio (Physics)
Gu, Yu (Physics)
Examining committee member and department
Schmitt, Douglas (Physics)
Vorobyov, Sergiy (Electrical and Computer Engineering)
van der Baan, Mirko (Physics)
Bostock, Michael (Earth, Ocean and Atmospheric Sciences, University of British Columbia)
Department of Physics
Date accepted
Graduation date
Doctor of Philosophy
Degree level
Seismic events can be characterized by its origin time, location and moment tensor. Fast estimations of these source parameters are important in areas of geophysics like earthquake seismology, and the monitoring of seismic activity produced by volcanoes, mining operations and hydraulic injections in geothermal and oil and gas reservoirs. Most available monitoring systems estimate the source parameters in a sequential procedure: first determining origin time and location (e.g., epicentre, hypocentre or centroid of the stress glut density), and then using this information to initialize the evaluation of the moment tensor. A more efficient estimation of the source parameters requires a concurrent evaluation of the three variables. The main objective of the present thesis is to address the simultaneous estimation of origin time, location and moment tensor of seismic events. The proposed method displays the benefits of being: 1) automatic, 2) continuous and, depending on the scale of application, 3) of providing results in real-time or near real-time. The inversion algorithm is based on theoretical results from sparse representation theory and compressive sensing. The feasibility of implementation is determined through the analysis of synthetic and real data examples. The numerical experiments focus on the microseismic monitoring of hydraulic fractures in oil and gas wells, however, an example using real earthquake data is also presented for validation. The thesis is complemented with a resolvability analysis of the moment tensor. The analysis targets common monitoring geometries employed in hydraulic fracturing in oil wells. Additionally, it is presented an application of sparse representation theory for the denoising of one-component and three-component microseismicity records, and an algorithm for improved automatic time-picking using non-linear inversion constraints.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Vera Rodriguez, I., Sacchi, M. and Gu, Y., 2010, Continuous hypocenter and source mechanism inversion via a Green's function-based matching pursuit algorithm, The Leading Edge, 29, 334-337.
/content/29/3/334.fullVera Rodriguez, I., Sacchi, M. and Gu, Y., 2010, Toward a near real-time system for event hypocenter and source mechanism recovery via compressive sensing, SEG Expanded Abstracts, 29, 2140-2145.
/onepetropreview?id=SEG-2010-2140Vera Rodriguez, I., Gu, Y. and Sacchi, M., 2011, Resolution of Seismic-Moment Tensor Inversions from a Single Array of Receivers, Bulletin of the Seismological Society of America, 101, 2634-2642.
/2634.abstractVera Rodriguez, I., Bonar, D. and Sacchi, M., 2011, Improvements in microseismic data processing using sparsity and non-linear inversion constraints, CSEG Recorder, 36, 26-28.
Rodriguez, I., Bonar, D. and Sacchi, M., 2012, Microseismic data denoising using a 3C group sparsity constrained time-frequency transform, Geophysics, 77, V21-V29.
Rodriguez, I., Sacchi, M. and Gu, Y., 2012, Simultaneous recovery of origin time, hypocentre location and seismic moment tensor using sparse representation theory, Geophysical Journal International, 188, 1188-1202.
/doi/10.1111/j.1365-246X.2011.05323.x/abstractVera Rodriguez, I., 2012, Near real-time estimation of origin time, hypocenter location and seismic moment tensor in a dense network of recording stations, 74th EAGE Conference Extended Abstracts.

File Details

Date Uploaded
Date Modified
Audit Status
Audits have not yet been run on this file.
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 40065955
Last modified: 2015:10:12 18:27:22-06:00
Filename: Vera Rodriguez_Ismael_Fall 2012.pdf
Original checksum: 2d3c7e4df52eee68d6561611ede6c905
Well formed: false
Valid: false
Status message: No document catalog dictionary offset=0
File title: Near real-time estimation of the seismic source parameters in a compressed domain, Ph. D. Thesis
File author: Ismael A. Vera Rodriguez
Activity of users you follow
User Activity Date