Global Seismic Monitoring: A Bayesian Approach

The automated processing of multiple seismic signals to detect and localize seismic events is a central tool in both geophysics and nuclear treaty verification. This paper reports on a project, begun in 2009, to reformulate this problem in a Bayesian framework. A Bayesian seismic monitoring system, NET-VISA, has been built comprising a spatial event prior and generative models of event transmission and detection, as well as an inference algorithm. Applied in the context of the International Monitoring System (IMS), a global sensor network developed for the Comprehensive NuclearTest-Ban Treaty (CTBT), NET-VISA achieves a reduction of around 60% in the number of missed events compared to the currently deployed system. It also finds events that are missed even by the human analysts who post-process the IMS output.

• Type: Journal
• Year: 2011
• Where: AAAI
• Authors: Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik B. Sudderth
• Keywords: AAAI 2011, Inference Algorithm, Intelligent Agents, International Monitoring System, Seismic Signals