Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks | Zendy

Alexis Bottero | Zendy; Yves Cansi | Zendy; B. Massi | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks

Author(s) -

Alexis Bottero,

Yves Cansi,

B. Massi

Publication year - 1994

Publication title -

annals of geophysics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.394

H-Index - 60

eISSN - 2037-416X

pISSN - 1593-5213

DOI - 10.4401/ag-4187

Subject(s) - azimuth , set (abstract data type) , artificial neural network , signal (programming language) , signal processing , computer science , algorithm , data set , geology , array processing , geodesy , seismology , acoustics , artificial intelligence , telecommunications , mathematics , geometry , physics , radar , programming language

We present a new method for automatic processing of mini-array records of regional events. It is based on a comprehensive analysis of the cross-correlation functions. This leads to a set of time-delays used to compute the azimuth and velocity of the travelling wave only in case of consisteney of the time-delay set. The second step takes into account the time-frequency representations of these wave parameters to identify each regional wave using a neural network. The resulting standard error on azimuth is 3° and the relative error on distance is less than 20%

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research