Microseismic event detection in large heterogeneous velocity models using Bayesian multimodal nested sampling

Microseismic event detection in large heterogeneous velocity models using Bayesian multimodal nested sampling

In passive seismic and microseismic monitoring, identifying and characterizing events in a strong noisy background is a challenging task. Most of the established methods for geophysical inversion are likely to yield many false event detections. The most advanced of these schemes require thousands of...

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Bibliographic Details
Main Authors: Saptarshi Das, Michael P. Hobson, Farhan Feroz, Xi Chen, Suhas Phadke, Jeroen Goudswaard, Detlef Hohl
Format: Article
Language:English
Published: Cambridge University Press 2021-01-01
Series:Data-Centric Engineering
Subjects:
Bayesian inference and evidence
DBSCAN clustering
microseismic event detection
nested sampling
surrogate meta-model
Online Access:https://www.cambridge.org/core/product/identifier/S2632673621000010/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2632673621000010/type/journal_article

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