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Lateral migration patterns toward or away from injection wells for earthquake clusters in Oklahoma
KAUST Grant NumberBAS/1/1339-01-01
Permanent link to this recordhttp://hdl.handle.net/10754/661558.1
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AbstractExploring the connections between injection wells and seismic migration patterns is key to understanding processes controlling growth of fluid-injection induced seismicity. Numerous seismic clusters in Oklahoma have been associated with wastewater disposal operations, providing a unique opportunity to investigate migration directions of each cluster with respect to the injection-well locations. We introduce new directivity migration parameters to identify and quantify lateral migration toward or away from the injection wells. We take into account cumulative volume and injection rate from multiple injection wells. Our results suggest a relationship between migration patterns and the cluster-well distances, and unclear relationship with injected volume and equivalent magnitudes. Migration away from injection wells is found for distances shorter than 5-13 km, while an opposite migration towards the wells is observed for larger distances, suggesting an increasing influence of poroelastic stress changes. This finding is more stable when considering cumulative injected volume instead of injection rate.
SponsorsWe thank the Oklahoma Geological Survey (OGS) and USGS for continuous monitoring earthquake activities in Oklahoma. The research presented in this article is supported by King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, by FRAGEN project (Fracture activation in geo-reservoirs - physics of (induced) earthquakes in complex fault networks), URF/1/3389-01-01, BAS/1/1339-01-01, and Spanish project CGL2015-67130-C2-2-R. J.A.L.C has also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement Nº 754446 and UGR Research and Knowledge Transfer Found – Athenea3i; and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Projektnummer (407141557). We also thank Justin Rubinstein and Simone Cesca for constructive comments and discussions.
Except where otherwise noted, this item's license is described as CC_BY_NC_ND_4.0 | First posted online: Thu, 7 Nov 2019 03:21:54 | This content has not been peer reviewed.