Bayesian waveform-based calibration of high-pressure acoustic emission systems with ball drop measurements


Title

Bayesian waveform-based calibration of high-pressure acoustic emission systems with ball drop measurements

Publication Type
Journal Article
Year of Publication
2020
Journal
Geophysical Journal International
Volume
221
Issue
1
Pagination
20 – 36
Date Published
Jan-04-2020
Publication Language
eng
Citation Key
3416
ISSN
0956-540X
Abstract

Acoustic emission (AE) is a widely used technology to study source mechanisms and material properties during high-pressure rock failure experiments. It is important to understand the physical quantities that acoustic emission sensors measure, as well as the response of these sensors as a function of frequency. This study calibrates the newly built AE system in the MIT Rock Physics Laboratory using a ball-bouncing system. Full waveforms of multibounce events due to ball drops are used to infer the transfer function of lead zirconate titanate (PZT) sensors in high pressure environments. Uncertainty in the sensor transfer functions is quantified using a waveform-based Bayesian approach. The quantification of in situ sensor transfer functions makes it possible to apply full waveform analysis for acoustic emissions at high pressures.