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Combined Inversion of Active and Passive Seismic Data Based on Optimized Data Selection

Behnen K, Maurer H, Mercier A, Hertrich M, Giardini D.   +4 more
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Applying A DSP To Seismic Monitoring

10th Annual International Symposium on Geoscience and Remote Sensing, 2005
An approach to the detection of the starting time of an earthquake that operates in the frequency domain is presented. It is based on the use of a digital signal processor chip. The key is the device's ability to perform both a real-time spectrum analysis of the signal and a fast computation of a suitable function able to highlight the starting of the ...
Di Stefano A., Mirabella O., Sberna G.
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Seismic monitoring network for induced seismicity in the Netherlands

EAGE GeoTech 2021 First EAGE Workshop on Induced Seismicity, 2021
The seismic monitoring network in the Netherlands consists of a dense network of shallow borehole arrays (200 m depth) and surface accelerometers in the Groningen region and a sparser network in the rest of the country. The dense network in Groningen is targeted at induced seismicity due to gas extraction.
Kruiver, P., Spetzler, J., Ruigrok, E., Dost, B.   +3 more
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Distributed Acoustic Sensing for Seismic Monitoring

Optical Fiber Communication Conference (OFC) 2021, 2021
Optical fiber networks can be transformed into powerful seismic sensing arrays through Distributed Acoustic Sensing (DAS). We review here the principles of DAS and the opportunities it offers in seismic monitoring, particularly in the sea-bottom.
Gonzalez-Herraez, Miguel, Fernández-Ruiz, María R., Magalhaes, Regina, Costa, Luis, Martins, Hugo F., Becerril, Carlos, Martin-Lopez, Sonia, Williams, Ethan, Zhan, Zhongwen, Vantilho, Roel   +9 more
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Focused seismic monitoring

The Leading Edge, 2008
StatoilHydro has deployed a large range of geophysical reservoir monitoring technologies to a variety of reservoirs over the last 10–15 years. Seismic reservoir monitoring is today an integral part of our field management, with proven business value.
Mark Thompson, Mona Andersen
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Seismic Characterization of Landslides and the Emergence of Seismic Monitoring

Proceedings, 2012
After a short introduction on the main problems that need to be better understood in order to better model landslide dynamics, this contribution focuses on how geophysical methods and in particular seismic methods can help in better characterizing the geometry and heterogeneities of landslides.
Stphane Garambois, Denis Jongmans, Agns Helmstetter   +2 more
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Breaking the seismic 4D ‘image’ paradigm of seismic monitoring

First Break, 2021
Abstract Seismic imaging techniques were designed for exploration. To better image the subsurface, the industry developed high-resolution 3D seismic monitoring methods which used systems able to record hundreds of thousands of channels simultaneously.
Habib Al Khatib, Yessine Boubaker, Elodie Morgan   +2 more
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Monitoring Seismic Processing For Seismic Reservoir Characterization

International Petroleum Technology Conference, 2009
This reference is for an abstract only. A full paper was not submitted for this conference. Abstract Seismic reservoir characterization (for instance, inversion) requires a well-controlled seismic signal that can sometimes not be guaranteed by conventional processing QCs. One option is to use borehole
Pierre-Olivier Lys, Benoit Paternoster, Emmanuel Crouzy, Bruno Pagliccia   +3 more
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Global Seismic Monitoring: A Bayesian Approach

Proceedings of the AAAI Conference on Artificial Intelligence, 2011
The automated processing of multiple seismic signals to detect and localize seismic events is a central tool in both geophysics and nuclear treaty verification. This paper reports on a project, begun in 2009, to reformulate this problem in a Bayesian framework.
Nimar S. Arora, Stuart Russell 0001, Paul Kidwell, Erik B. Sudderth   +3 more
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Unconventionals in Seismic Monitoring

Proceedings, 2012
Passive seismic monitoring gives essential information on reservoir dynamics, cap-rock integrity, propagation and extend of fracking activities, and eventual hazard scenarios by potential triggering of induced seismicity. Data analysis can either be performed by classical, seismological tools for determination of single-event properties like hypocenter,
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