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A Collaborative Research and Development Program to Advance the Use of Machine Intelligence in Nuclear Explosion Monitoring

The Air Force Research Laboratory (AFRL) initiated the Machine Intelligence for Nuclear Explosion Monitoring (MINEM) research and development (R&D) program in November 2020 with a five-year mandate to adopt machine intelligence in processing seismic and other geophysical signals to detect, locate and characterize seismic events. Automating these key processing tasks will benefit real-time monitoring operations for both earthquakes and nuclear tests.

The MINEM team includes data scientists and seismologists who are working together with AFRL and others in the U.S. Government to identify, evaluate and recommend techniques to fulfill R&D program goals. The MINEM program’s first objective involved all team members working together to identify seismic explosion monitoring processes that are amenable to machine intelligence solutions and a variety of approaches to swiftly increase automated seismic event-processing capabilities.

Seven new MINEM R&D projects are addressing various monitoring needs, including a data-sharing platform and improvements to seismic phase onset-time determination, association, amplitude measurements and event location. In this presentation, we will discuss the broad scope of MINEM, active projects and future research opportunities, with the goal of soliciting increased participation from the research community to build an R&D program that delivers more capability to the U.S. Government.

Session: Machine Learning Techniques for Sparse Regional and Teleseismic Monitoring I

Type: Oral

Room: Regency E-G

Date: 4/21/2022

Presentation Time: 08:30 AM Pacific

Presenting Author: Delaine Reiter

Student Presenter: No

Additional Authors