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Higher Order Statistics Based Pickers' Evaluation, Using Data from a Micrsoseismic NetworkNormal access

Authors: N. Martakis, G.A. Tselentis, P. Paraskevopoulos and A. Lois
Event name: Third EAGE Passive Seismic Workshop - Actively Passive 2011
Session: Poster
Publication date: 27 March 2011
DOI: 10.3997/2214-4609.20145336
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 292.25Kb )
Price: € 20

The arrival time picking in passive seismic tomography is a tedious but important process and its accuracy is essential for the final result. Three automatic, P-wave arrival times picking methods, based on Higher Order Statistics (HOS), namely skewness, kurtosis and differential entropy (also known as negentropy), are evaluated using a number of selected events recorded in a microseismic network. Their performance is evaluated in comparison to the manual picks for these events.

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