Integrating Multiple Seismic Monitoring Systems to Reveal Intense Microseismicity During the 2024 Utah Forge Stimulation
Description:
The 2024 Utah FORGE stimulations and the induced microseismicity have been well captured by multiple seismic monitoring systems, including the regional seismic network, temporary nodal geophones, and downhole geophone and DAS systems. Integrating data from these complementary monitoring systems, each with distinct sensitivities and spatial coverage, enables more complete detection of microseismicity and more accurate characterization of fracture networks. In this study, we applied a machine-learning–based phase picker to the continuous seismic recordings collected over a two-week stimulation period and obtained ~51 million picks. Based on the predicted event origin times, we identified the asynchronous clocking issue among different downhole monitoring systems and corrected it with the cross-correlation method. We further adopted the method proposed in Zhu et al. (2025) for rapid association and incorporated the travel time differences to improve location accuracy. Our results show a clear hierarchy in detection capability among the monitoring systems. The near-surface arrays detected the fewest events, while the DAS cemented behind the production-well casing can detect approximately an order of magnitude more events. The downhole geophones, despite higher deployment costs, are the most sensitive instruments, producing the most complete catalog roughly ten times larger than that obtained from the DAS system. Near-source downhole geophone monitoring systems help to better constrain locations as they are less affected by shallow velocity heterogeneities, while downhole DAS and surface stations can provide unclipped amplitudes for those events with relatively larger magnitudes. Combining these complementary datasets would improve the completeness and accuracy of the catalog, thereby better resolving the spatial and temporal evolution of the fracture network.
Session: From Drilling to Ground Shaking: Mechanisms, Monitoring and Mitigation of Induced Earthquakes [Poster]
Type: Poster
Date: 4/17/2026
Presentation Time: 08:00 AM (local time)
Presenting Author: Junhao Song
Student Presenter: No
Invited Presentation:
Poster Number: 102
Authors
Junhao Song Presenting Author Corresponding Author sjh2019@berkeley.edu University of California, Berkeley |
Weiqiang Zhu zhuwq@berkeley.edu University of California, Berkeley |
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Integrating Multiple Seismic Monitoring Systems to Reveal Intense Microseismicity During the 2024 Utah Forge Stimulation
Category
From Drilling to Ground Shaking: Mechanisms, Monitoring and Mitigation of Induced Earthquakes