Enhanced Detection of Fluid-Triggered Seismicity Using Combined Array Beamforming and Machine Learning Techniques: Application to Oklahoma Dense Nodal Arrays.

Asirifi, Richard

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Abstract: Enhanced Detection of Fluid-Triggered Seismicity Using Combined Array Beamforming and Machine Learning Techniques: Application to Oklahoma Dense Nodal Arrays. (AGU25)

Enhanced Detection of Fluid-Triggered Seismicity Using Combined Array Beamforming and Machine Learning Techniques: Application to Oklahoma Dense Nodal Arrays.

Richard Asirifi^1,2, Ting Chen², Xiaowei Chen¹ and Kai Gao², (1)Texas A&M University, Geology and Geophysics, College Station, United States, (2)Los Alamos National Laboratory, Energy and Natural Resources Security, Los Alamos, United States