Forecasting induced seismicity in Oklahoma using machine learning methods

Oklahoma earthquakes in the past decade have been mostly associated with wastewater injection. Here we use a machine learning technique—the Random Forest to forecast induced seismicity rate in Oklahoma based on injection-related parameters. We split the data into training (2011.01–2015.05) and test...

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Detalles Bibliográficos
Autores principales: Qin, Yan, Chen, Ting, Ma, Xiaofei, Chen, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167295/
https://www.ncbi.nlm.nih.gov/pubmed/35661805
http://dx.doi.org/10.1038/s41598-022-13435-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167295/
https://www.ncbi.nlm.nih.gov/pubmed/35661805
http://dx.doi.org/10.1038/s41598-022-13435-3

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