Clustering revisited: A spectral analysis of microseismic events

Geophysics

Volumn 78, Issue 2, 2013, Pages

  Fagan, Deborah ^a   Van wijk, Kasper ^a,b   Rutledge, James ^c,d  

^a BOISE STATE UNIVERSITY   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c SCHLUMBERGER   (United States)

^d LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; ENHANCED RECOVERY; FREQUENCY DOMAIN ANALYSIS; INFORMATION MANAGEMENT; POWER SPECTRUM; RESERVOIR MANAGEMENT; SEISMOLOGY; SPECTRUM ANALYSIS; INDUCED SEISMICITY;

AUTOCORRELATION FUNCTIONS; DECISION FRAMEWORK; ENHANCED OIL RECOVERY; FREQUENCY DOMAINS; MICROSEISMIC EVENTS; MICROSEISMICITY; POWER-SPECTRA; STATISTICAL THEORY; SET OF EVENTS;

TIME DOMAIN ANALYSIS;

AUTOCORRELATION; ENHANCED OIL RECOVERY; FAULT ZONE; FOURIER TRANSFORM; SEISMICITY; SPECTRAL ANALYSIS; STATISTICAL ANALYSIS; FAULTING; INDUCED SEISMICITY; RISK; SEISMIC METHOD;

UNITED STATES; UTAH;

EID: 84878693792     PISSN: 00168033     EISSN: None     Source Type: Journal    
DOI: 10.1190/GEO2012-0323.1     Document Type: Article

References (29)

1. Bardainne, T., P. Gaillot, N. Dubos-Sallée, J. Blanco, and G. Sénéchal, 2006,Characterization of seismic waveforms and classification of seismic events using chirplet atomic decomposition. Example from the Lacq gas field (Western Pyrenees, France): Geophysical Journal International,166, 699-718, doi: 10.1111/j.1365-246X.2006.03023.x.
2. Carney, S., 2010, Subsurface structural and thickness mapping: Technical report, Chapter 3, Utah Geological Survey.
3. Chidsey, T. C. Jr., 2009, Surface and subsurface geological characterization of the Aneth Unit, Greater Aneth field, Paradox Basin, Utah - Final report:Technical report, Utah Geological Survey.
4. Diggle, P. J., 1991, Time series: A biostatistical introduction: Clarendon Press.
5. Fagan, D. K., 2012, Statistical clustering of microseismic event spectra to identify subsurface structure: M.S. thesis, Boise State University.
6. Hansen, S. E., S. Y. Schwartz, H. R. DeShon, and V. González, 2006, Earthquake relocation and focal mechanism determinationusing waveform cross correlation, Nicoya Peninsula, Costa Rica: Bulletin of the Seismological Society of America, 96, 1003-1011, doi: 10.1785/0120050129.
7. Harris, D. B., 1991, A waveform correlation method for identifying quarry explosions: Bulletin of the Seismological Society of America, 81, 2395-2418
8. Hintze, L. F., and B. J. Kowallis, 2009, Geologic history of Utah: Brigham Young University Geology Studies Special Publication 9.
9. Kaufman, L., and P. J. Rosseeuw, 1990, Finding groups in data: An introduction to cluster analysis: Wiley.
10. Lay, T., and T. C. Wallace, 1995, Modern global seismology: Academic Press.
11. Maxwell, S. C., and T. I. Urbancic, 2001, The role of microseismic monitoring in the instrumented oil field: The Leading Edge, 20, 636-639, doi:10.1190/1.1439012.
12. Phillips, W. S., T. D. Fairbanks, J. T. Rutledge, and D. W. Anderson, 1998,Induced microearthquake patterns and oil-producing fracture systems in the Austin Chalk: Tectonophysics, 289, 153-169, doi: 10.1016/S0040-1951(97)00313-2.
13. R Development Core Team, 2008, R: A language and environment for statistical computing, R Foundation for StatisticalComputing.
14. Rowe, C. A., R. C. Aster, B. Borchers, and C. J. Young, 2002, An automatic,adaptive algorithm for refining phase picks in large seismic data sets: Bulletin of the Seismological Society of America, 92, 1660-1674, doi: 10.1785/0120010224.
15. Rutledge, J., and N. Soma, 2010, Microseismic monitoring of CO2 enhanced oil recovery in the Aneth Field: Technical report LA-UR-10-08213, Chapter 12, Los Alamos National Laboratory.
16. Rutledge, J. T., and W. S. Phillips, 2003, Hydraulic stimulations of natural fracture as revealed by induced microearthquakes, Carthage Cotton Valleygas field, east Texas: Geophysics, 68, 441-452, doi: 10.1190/1.1567214.
17. Saar, M. O., and M. Manga,2003, Seismicity induced by seasonal groundwater recharge at Mt. Hood, Oregon: Earth and Planetary Science Letters,214, 605-618, doi: 10.1016/S0012-821X(03)00418-7.
18. Schaff, D. P., and G. C. Beroza, 2004, Coseismic and postseismic velocity changes measured by repeating earthquakes: Journal of Geophysical Research, 109, B10302, doi: 10.1029/2004JB003011.
19. Schaff, D. P., and P. G. Richards, 2004, Repeating seismic events in China: Science, 303, 1176-1178, doi: 10.1126/science.1093422.
20. Schaff, D. P., and P. G. Richards, 2011, On finding and using repeating seismic events in and near China: Journal of Geophysical Research, 116, B03309, doi: 10.1029/2010JB007895.
21. Shumway, R. H., 2003, Time-frequency clustering and discriminant analysis: Statistics & Probability Letters, 63, 307-314, doi: 10.1016/S0167- 7152(03)00095-6.
22. Shumway, R. H., and D. S. Stoffer, 2006, Time series analysis and its applications: With R examples, 2nd ed.: Springer-Verlag.
23. Snieder, R., and M. Vrijlandt, 2005, Constraining relative source locations with coda wave interferometry: Theory and application to earthquake doublets in the Hayward Fault, California: Journal of Geophysical Research, 110, B04301, doi: 10.1029/2004JB003317.
24. Song, F., H. S. Kuleli, M. N. Toksöz, E. Ay, and H. Zhang, 2010, An improved method for hydrofracture-induced microseismic event detection and phase picking: Geophysics, 75, no. 6, A47-A52, doi: http://link.aip.org/link/doi/10.1190/1.3484716.
25. Streit, J. E., A. F. Siggins, and B. J. Evans, 2005, Predicting and monitoring geomechanical effects of CO2 injection, in D. C. Thomas, Carbon dioxide capture for storage in deep geologic formations, vol. 2: Elsevier Ltd., 751-766.
26. Venables,W. N., and B. D. Ripley, 1999, Modern and applied statistics with S-PLUS, 3rd ed.: Springer-Verlag.
27. Waldhauser, F., and W. L. Ellsworth, 2000, A double-difference earthquake location algorithm: Method and application to the northern Hayward Fault, California: Bulletin of the Seismological Society of America,90, 1353-1368, doi: 10.1785/0120000006.
28. Ward, J. H. Jr., 1963, Hierarchical grouping to optimize an objective function: Journal of the American Statistical Association, 58, 236-234, doi: 10 .1080/01621459.1963.10500845.
29. Zhang, H., and C. H. Thurber, 2003, Double-difference tomography: The method and its application to the Hayward Fault, California: Bulletin of the Seismological Society of America, 93, 1875-1889, doi: 10 .1785/0120020190.