EAGE E-Lecture: Virtual Seismology: monitoring the subsurface with virtual sources and recivers by Kees Wapenaar

 

Pubblicato il 25 mar 2019

https://www.youtube.com/watch?time_continue=3&v=QkbWXCvxs_w

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BeGeoscientists – E’ nato il nuovo sito web

BeGEOscientists (BeGEO) è un’associazione creata da dottori di ricerca e dottorandi in Scienze della Terra con lo scopo di sostenere iniziative atte a favorire la promozione della cultura, della libertà di ricerca scientifica e della circolazione delle idee nell’ambito delle geoscienze.

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GNGTS 2022 – 40° CONVEGNO NAZIONALE

Care colleghe, cari colleghi,

Da oggi è possibile iscriversi al GNGTS 2022. Quest’anno il convegno si terrà a Trieste a dal 27 al 29 giugno 2022. La scadenza per la sottomissione degli abstract è fissata per il 2 maggio.

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GUSTAVO SCLOCCHI 29TH THESES AWARD 2021

To reward outstanding university graduates specializing in areas related to the Energy Industry, SPE Italian Section (Society of Petroleum Engineers), EAGE (European Association of Geoscientists & Engineers) and Assorisorse (Sustainable Natural Resources and Energy) announce the 29th “Gustavo Sclocchi” Theses Award.

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EAGE E-Lecture: Virtual Seismology: monitoring the subsurface with virtual sources and recivers by Kees Wapenaar

This E-Lecture introduces virtual seismology: monitoring the subsurface with virtual sources and receivers, which is a new methodology to create virtual sources and virtual receivers in the subsurface from reflection measurements at the earth’s surface. Unlike in seismic interferometry, no physical instrument (receiver or source) is needed at the position of the virtual source or receiver. Moreover, no detailed knowledge of the subsurface parameters and structures is required: a smooth velocity model suffices. Yet, the responses to the virtual sources, observed by the virtual receivers, fully account for multiple scattering. This method is not only useful for reflection imaging but is has also large potential for monitoring induced seismicity, characterizing the source properties and forecasting the response to potential future induced earthquakes. This will be demonstrated with numerical models and preliminary real-data results.​