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Room: Tikahtnu Ballroom A

Date: 5/2/2024

Session Time: 2:00 PM to 3:15 PM (local time)

Emerging subsurface operations (e.g., geothermal energy or carbon storage) are potential pathways to greener or more sustainable energy solutions and will play crucial roles in achieving the net-zero emission goal by 2050. However, concerns around induced earthquakes and the longevity and development of needed reservoirs are a serious impediment to widespread adoption of these emerging energy resources. Thus, tools to identify and de-risk induced seismicity concerns and better characterize the reservoirs will be necessary to reach climate goals. In this session, we invite contributions from research on novel seismic and non-seismic technologies and applications of novel and advanced seismic techniques to better understand and manage the transition to greener energy solutions. We welcome submissions of abstracts on computational, artificial intelligence/machine learning, laboratory experimental and field-scale studies.


We strongly encourage contributions from EGS/geothermal or carbon storage projects. Additionally, we are also interested in lessons learned from induced seismicity caused by other anthropogenic operations (e.g., disposal, production, hydraulic fracturing). Examples can include field test sites that focus on geophysical technologies, such as real-time monitoring and characterization of induced seismicity, distributed acoustic sensing, large-N array, active surface seismic, vertical seismic profiling, seismic imaging of faults and fracture zones, laboratory experiments and novel instrumentation. We also welcome submission of abstracts like laboratory studies that focus on the role that fluids play in fault reactivation, modelling studies at all scales, seismicity forecasting models, hazard/risk analysis, good-practice guidelines and mitigation strategies that would help in reducing commercial costs or enhancing the safety of future projects.

Conveners:
Erkan Ay, Shell (Erkan.Ay@shell.com)
Kai Gao, Los Alamos National Laboratory (kaigao@lanl.gov)
Chet Hopp, Lawrence Berkeley National Laboratory (chopp@lbl.gov)
Lianjie Huang, Los Alamos National Laboratory (ljh@lanl.gov)
Federica Lanza, ETH Zurich (federica.lanza@sed.ethz.ch)
Nori Nakata, Lawrence Berkeley National Laboratory (nnakata@lbl.gov)
Annemarie Muntendam-Bos, Delft University of Technology (A.G.Muntendam-Bos@tudelft.nl)
Kristine L. Pankow, University of Utah (pankowseis2@gmail.com)
Ryan Schultz, ETH Zurich (ryan.schultz@sed.ethz.ch)
Nana Yoshimitsu, Kyoto University (yoshimitsu.nana.6i@kyoto-u.ac.jp)
Yingcai Zheng, University of Houston (yzheng24@central.uh.edu)

Oral Presentations