Below are the project presentations and respective peer review results for Seismicity and Reservoir Fracture Characterization.
- Fluid Imaging of Enhanced Geothermal Systems, Gregory Newman and Ernie Major, Lawrence Berkeley National Laboratory
- Towards the Understanding of Induced Seismicity in Enhanced Geothermal Systems, Roland Gritto, Array Information Technology; Doug Dreger, UC Berkeley; Oliver Heidbach, GFZ Helmholtz Centre; Larry Hutchings, Lawrence Berkeley National Laboratory
- Imaging, Characterizing, and Modeling of Fracture Networks and Fluid Flow in EGS Reservoirs, Lianjie Huang, Los Alamos National Laboratory
- Mapping Diffuse Seismicity for Geothermal Reservoir Management with Matched Field Processing, Dennise Templeton and David B. Harris, Lawrence Livermore National Laboratories
- Development of a Geological and Geomechanical Framework for the Analysis of MEQ in EGS Experiments, Ahmad Ghassemi, Texas A&M University
- Fracture Network and Fluid Flow Imaging for EGS Applications from Multi-Dimensional Electrical Resistivity Structure, Philip E. Wannamaker, University of Utah Energy and Geoscience Institute
- Seismic Technology Adapted to Analyzing and Developing Geothermal Systems Below Surface-Exposed High-Velocity Rocks, Bob A. Hardage, Bureau of Economic Geology, University of Texas at Austin
- Characterizing Fractures in the Geysers Geothermal Field by Micro-seismic Data, Using Soft Computing, Fractals, and Shear Wave Anisotropy, Fred Aminzadeh, University of Southern California
- Integration of Noise and Coda Correlation Data into Kinematic and Waveform Inversions, Daniel R.H. O'Connell, Fugro William Lettis and Associates