Advanced multi-attribute passive seismic monitoring analysis for seismic hazard assessment in active fault zones

References

1. Ali, W. and Shieh, S.
   [2013]. Earthquake Repeat Time, Stress Drop, Type of Slip and Earthquake Magnitude.Journal of Geology and Geoscience.
   [Google Scholar]
2. Ardakani, E.P., Baig, A.M., Urbancic, T.I., Kahn, D., Rich, J., Langton, D. and Silver, K.
   [2018]. Effectiveness of geometric versus variable shot clusters to stimulate a percolating crack network capable of sustaining flow.SPE HFTC.
   [Google Scholar]
3. Baig, A.M., Urbancic, T., Bosman, K., Ardakani, E. and Thompson, J.M.
   [2017]. Characterizing reservoir behavior with cluster-based microseismic analysis.Unconventional Resources Technology Conference, Abstracts.
   [Google Scholar]
4. BohnhoffM., DresenG., EllsworthW.L. and ItoH.
   [2009]. Passive Seismic Monitoring of Natural and Induced Earthquakes: Case Studies, Future Directions and Socio-Economic Relevance. In: Cloetingh, S. and Negendank, J. (Eds) New Frontiers in Integrated Solid Earth Sciences. International Year of Planet Earth.Springer, Dordrecht.
   [Google Scholar]
5. Crowley, J.W., A.M.Baig, T.I.Urbancic, and E. vonLunen
   [2015]. 4D tomography and deformation from microseismic data.77th EAGE Conference and Exhibition, Extended Abstracts.
   [Google Scholar]
6. Ferretti, A.
   [2014]. Satellite InSAR Data: Reservoir Monitoring from Space. EAGE, The Netherlands.
   [Google Scholar]
7. He, Y., Angus, D.A., Blanchard, T.D. and Garcia, A.
   [2016]. Time-lapse seismic waveform modeling and seismic attribute analysis using hydro-mechanical models for a deep reservoir undergoing depletion.Geophysical Journal International,205, 389–407.
   [Google Scholar]
8. Kanamori, H. and Anderson, D.L.
   [1975]. Theoretical Basis of Some Empirical Relations in Seismology.Bulletin of the Seismological Society of America,65 (5), 1073–1095.
   [Google Scholar]
9. Kanamori, H.
   [1977]. The Energy Release in Great Earthquakes.Journal of Geophysical Research,81 (20).
   [Google Scholar]
10. Kao, H., Visser, R., Smith, B. and Venables, S.
    [2018]. Performance assessment of the induced seismicity traffic light protocol for northeastern British Columbia and western Alberta, The Leading Edge,37(2), 117–126.
    [Google Scholar]
11. Karimi, S. and Baturan, D.
    [2018]. Real-time induced seismicity forecasting and risk management utilizing research-grade seismic catalogs.CSEG Recorder, December 18–23.
    [Google Scholar]
12. Maxwell, S. and Urbancic, T.
    [2001]. The role of passive microseismic monitoring in the instrumented oil field.The Leading Edge, 20 (6), 636–639.
    [Google Scholar]
13. Maxwell, S. and Urbancic, T.
    [2005]. The Potential Role of Passive Seismic Monitoring for Real-Time 4D Reservoir Characterization.SPE Reservoir Evaluation & Engineering,8 (1), 70–76.
    [Google Scholar]
14. Moradi, P. and Angus, D.
    [2019]. Modeling Frac-hits Using Dynamic Microseismicity-Constrained Enhanced Fracture Regions.Unconventional Resources Technology Conference, Abstracts.
    [Google Scholar]
15. Moradi, P., Jeziorski, K. and Angus, D.
    [2019]. Increasing confidence in estimating stimulated reservoir volume by integrating RTA and microseismic analysis.First Break, 37, 65–72.
    [Google Scholar]
16. Nur, A. and Simmons, G.
    [1969]. Stress-induced velocity anisotropy in rock: an experimental study, J. geophys. Res., 74, 6667–6674.
    [Google Scholar]
17. Price, D., Angus, D.A., Garcia, A. and Fisher, Q.J.
    [2017]. Probabilistic analysis and comparison of stress-dependent rock physics models.Geophysical Journal International,210(1), 196–209.
    [Google Scholar]
18. Sarout, J., David, C. and Pimieta, L.
    [2019]. Seismic and microseismic signatures of fluids in rocks: Bridging the scale gap.Journal of Geophysical Research Solid Earth, 124(6), 5379–5386.
    [Google Scholar]
19. Urbancic, T.I., Smith-Boughner, L., Baig, A.M., Von Lunen, E., Budge, J. and Hendrick, J.
    [2016]. The Potential for Predicting Production by Characterizing Fluid Flow and Drainage Patterns Using Microseismicity.78th EAGE Conference and Exhibition, Extended Abstracts.
    [Google Scholar]
20. Urbancic, T., Baig, A.M., Viegas, G., Thompson, J.M., Anderson, D., Rice, C. and Martin, L.
    [2017]. Effective Constraint of RTA Models Utilizing Microseismicity Derived Flow Attributes.Unconventional Resources Technology Conference, Abstracts.
    [Google Scholar]
21. Walsh, J.
    [1965a]. The effect of cracks on the compressibility of rock, J.geophys. Res., 70, 381–389.
    [Google Scholar]
22. Walsh, J.
    [1965b]. The effect of cracks on the uniaxial elastic compression of rocks, J. geophys. Res., 70, 399–411.
    [Google Scholar]
23. Wuestefeld, A., Al-Harrasi, O., Verdon, J.P, Wookey, J., and Kendall, J.M.
    [2010]. A strategy for automated analysis of passive microseismic data to image seismic anisotropy and fracture characteristics.Geophysical Prospecting,58 (5), 755–773.
    [Google Scholar]