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SCITS 2018 Spring Affiliates Meeting

Event Details:

Thursday, May 3, 2018 - Friday, May 4, 2018

Location

Stanford Black Community Service Center
418 Santa Teresa Street
Stanford, CA 94305
United States

May 3/4, 2018 - Affiliates Meeting

The affiliate meetings are intended for the SCITS affiliate members and invited guests.  If you need access to the files below please contact Denise Baughman.

Agenda

Presentations 

May 3, 2018

Welcome – Mark Zoback and Claudia Baroni

  1. Introduction to seismic hazard forecasts, Jack Baker
  2. Physics-based forecasting of man-made earthquake hazards in Oklahoma and Kansas, Cornelius Langenbruch
  3. Testing the USGS 1-year seismicity forecasts, Mostafa Mousavi
  4. Tutorial on “Rate and State” friction and faulting, Paul Segall
  5. A hydromechanical earthquake nucleation model that forecasts onset, peak, and falling rates of induced seismicity in Oklahoma and Kansas, Justin Rubinstein
  6. Seismicity Declustering and Hazard for Oklahoma, Ganyu Teng
  7. Site amplification for PSHA, Zack Spica
  8. Discussion of seismic hazard forecasts, Bill Ellsworth
  9. Pre-injection Seismic Hazard Assessment for Fallon, NV - Ole Kaven
  10. The Mw 5.4 Pohang, South Korea earthquake: Induced by EGS?, Bill Ellsworth and Domenico Giardini (slides not authorized by speaker)
  11. Do propagating fractures cross or follow existing fractures?, Ayaka Abe
  12. Triggering seismicity by poroelastically induced creep on faults with rate and state-dependent friction, Elias Heimisson
  13. Developing a general modeling tool for induced seismicity and earthquake rupture in fractured poroelastic media, Lei Jin
  14. Better magnitudes for induced earthquakes, Fatimah Al-Ismail
  15. Risk matrix for assessing hydrofrac induced seismicity risk, Tim Tyrrell

May 4, 2018

  1. Raton Basin seismicity and fluid injection, Jens Lund Snee and Matt Weingarten
  2. How does pore pressure influence earthquake size on rough faults?, Jeremy Mauer
  3. Near-field observation of induced earthquakes at Collab Project in South Dakota, Ankush Singh
  4. Reanalyzing the Rangely earthquake control experiment using machine learning, Kaiwen Wang
  5. Public release of the FAST Earthquake detection software, Greg Beroza
  6. Updated stress maps in unconventional basins, Jens Lund Snee

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