Robustness of statistical algorithms for location of microseismic sources based on surface array data

DOI10.1007/s10596-017-9623-6zbMath1387.86033OpenAlexW2589904894MaRDI QIDQ1702388

Peng Zhang

Publication date: 28 February 2018

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-017-9623-6

zbMATH Keywords

probability density functionMonte-Carlo simulationadaptive maximum likelihood estimatormultichannel signal processingconfidence region estimationmicroseismic source coordinate estimationphase alignment approach

Mathematics Subject Classification ID

Inverse problems in geophysics (86A22) Geostatistics (86A32)

Related Items (3)

Robust phase algorithms for estimating apparent slowness vectors of seismic waves from regional events ⋮ Statistical synthesis of phase alignment algorithms for localization of wave field sources ⋮ Algorithm of micro-seismic source localization based on asymptotic probability distribution of phase difference between two random stationary Gaussian processes

Cites Work

• Accuracy of adaptive maximum likelihood algorithm for determination of micro earthquake source coordinates using surface array data in condition of strong coherent noise
• Statistically-based approach for monitoring of micro-seismic events
• Kernel density estimation via diffusion
• Identification algorithms for linear systems with correlated input and output noise
• Unnamed Item
• Unnamed Item

This page was built for publication: Robustness of statistical algorithms for location of microseismic sources based on surface array data