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Virtual seismology: from hydrocarbon reservoir imaging to induced earthquake monitoring

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Delft University of Technology

Virtual seismology: from hydrocarbon reservoir imaging to induced earthquake monitoring

Wapenaar, Kees; Brackenhoff, Joeri; Staring, Myrna; Thorbecke, Jan Willem; Slob, Evert

Publication date 2018

Document Version Final published version Published in

Proceedings of the American Geophysical Union (AGU) Fall Meeting 2018

Citation (APA)

Wapenaar, K., Brackenhoff, J., Staring, M., Thorbecke, J. W., & Slob, E. (2018). Virtual seismology: from hydrocarbon reservoir imaging to induced earthquake monitoring. In Proceedings of the American Geophysical Union (AGU) Fall Meeting 2018 [S53A-03]

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S53A-03: Virtual seismology: from hydrocarbon reservoir imaging to induced

earthquake monitoring

Friday, 14 December 2018 14:20 - 14:40

Recent developments in exploration seismology have enabled the creation of virtual sources and/or 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 new methodology, which we call virtual seismology, has led to a breakthrough in hydrocarbon reservoir imaging, as is demonstrated in a companion paper (Staring et al., Marchenko redatuming for multiple prediction and removal in situations with a complex overburden). The aim of the present paper is to discuss applications of virtual seismology beyond exploration seismology, in particular induced earthquake monitoring, and to highlight the connections between these applications. The ability to retrieve the entire wave field between (virtual or real) sources and receivers

anywhere in the subsurface, without needing a detailed subsurface model, has large potential for monitoring induced seismicity, characterizing the source properties (such as the moment tensor of extended sources along a fault plane), and forecasting the response to potential future induced earthquakes. This will be demonstrated with numerical models and preliminary real-data results.

Authors

Cornelis P A Wapenaar

Delft University of Technology Joeri Brackenhoff

Delft University of Technology Myrna Staring

Delft University of Technology

Jan Thorbecke

Delft University of Technology Evert C Slob

Delft University of Technology

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