Gerrit Olivier

University of Tasmania

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Florent Brenguier

Université Grenoble Alpes

Philippe Dales

University of British Columbia

Tjaart de Wit

Institute of Seismology

Michel Campillo

Université Grenoble Alpes

Richard A. Lynch

Hess (United States)

Pascal Audet

University of Ottawa

Goran Boren

University of Adelaide

Rebecca Abel

Philippe Roux

Université Gustave Eiffel

Anthony Reid

University of Adelaide

Cooperative Institutions

Université Grenoble Alpes

Institut des Sciences de la Terre

Université Gustave Eiffel

Centre National de la Recherche Scientifique

Université Savoie Mont Blanc

Institut de Recherche pour le Développement

Université Joseph Fourier

University of Adelaide

Union zur Förderung von Oel- und Proteinpflanzen e.V.

Institute of Seismology

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Ambient noise Love wave tomography at a gold mine tailings storage facility

Géotechnique Letters (2018)

Gerrit Olivier Tjaart de Wit Florent Brenguier Lucian Bezuidenhout Thulisile Kunjwa

Tailings storage facilities (TSFs) are some of the most challenging structures to operate in the mining industry. Some of these structures are susceptible to liquefaction and piping failure, and need to be monitored carefully. In this study, ambient seismic noise interferometry is applied to image the internal structure of a tailings storage facility (TSF) that showed signs of increased seepage. Twenty geophones were deployed along a roughly 100 m section of the TSF and recorded continuous seismic data. The ambient noise was used to create Love wave dispersion curves between sensor pairs, which were in turn inverted to estimate the shear wave velocity of the dam wall as a function of depth. The velocity profile indicated the phreatic surface roughly 10 m below the surface, with regions near the centre of the array showing the phreatic surface as close as 3 m below the surface. These areas are spatially well correlated with the area where increased seepage was identified and the results were comparable with cone penetration tests that were performed in the area. The study showed that the analysis of ambient seismic noise can be a cost-effective, fast and non-invasive method to image the internal structure of TSFs.

Ambient noise level

Geophone

Geophysical Imaging

10.1680/jgele.18.00016

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Citations (16)

Imaging the supergene search space with Ambient Noise Tomography

Preview (2024)

Anthony Reid Bronwyn Murphy Nicole Galloway-Warland Adebayo Oluwaseun Ojo Gerrit Olivier

10.1080/14432471.2024.2395052

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Seismic imaging and monitoring in mines with ambient seismic noise correlations

HAL (Le Centre pour la Communication Scientifique Directe) (2015)

Gerrit Olivier

This work focus on using passive noise-based seismic methods to image and monitor the rock mass in underground mines. The main results show that it is possible to gain benefit from the diffuse ambient seismic field in mines to 1/ image the rock mass and 2/ monitor its mechanical property changes over time. This work opens a way to improve safety in deep underground mines.

Passive seismic

Ambient noise level

Geophysical Imaging

Seismic Noise

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Interferometric methods for spatio temporal seismic monitoring in underground mines

Geophysical Journal International (2017)

Philippe Dales Pascal Audet Gerrit Olivier Jean-Philippe Mercier

In active underground mining environments, monitoring of the rockmass has important implications for both safety and productivity. Monitoring can be accomplished by exploiting the many passive seismic sources (microearthquakes, drilling, ore-crushers etc.) around the mine on the condition they can be accurately detected and located. We implement a popular beamforming-like approach that uses cross-correlation functions in a maximum likelihood search to locate sources of seismic energy. We illustrate the technique with a synthetic example in which two simultaneous sources are located and discuss briefly the effects of different processing parameters. We demonstrate the effectiveness of this technique by monitoring both impulsive sources (microearthquakes) and other persistent sources (drilling and ore-crushers) in two active underground mines. We then propose how this information can be used in conjunction with ambient seismic noise interferometry to estimate seismic Green's functions under temporally variable and anisotropic wavefield conditions. Alternatively, we demonstrate how stable persistent sources, typically seen as contaminants in ambient noise applications, can be used to monitor changing rockmass conditions and potentially guide mining operations.

Passive seismic

Seismic interferometry

Seismic Noise

Crusher

10.1093/gji/ggx189

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Citations (25)

Industrial applications of ambient seismic noise imaging and monitoring

EGU General Assembly Conference Abstracts (2018)

Gerrit Olivier Florent Brenguier Tjaart de Wit

Ambient noise level

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Processing passive seismic data recorded on a dense array for CCS site characterization

Gerrit Olivier Małgorzata Chmiel Florent Brenguier Philippe Roux Aurélien Mordret

Passive seismic data were recorded during an active survey on more than 10,000 nodal geophones directly above a planned carbon sequestration site. The dense array enables us to use modern signal processing methods to better characterise the CCS site prior to injection. We used matched-field processing to detect and locate seismic events that are buried within the background noise. The locations of the seismic events may illuminate pre-existing faults or fractures that can influence plume movement after injection. Thousands of seismic events were detected and located in a small time series up to 2 km below surface. Additionally, we used ambient noise crosscorrelation to create seismic Green's functions between all station pairs. The Raleigh wave dispersion curves were used to invert for a 3D velocity model of the subsurface, that can be compared to the results of the active survey. Ambient noise tomography provides a cheaper alternative to active source imaging, and has little impact on the environment since an active source is not needed. Presentation Date: Wednesday, October 17, 2018 Start Time: 1:50:00 PM Location: 208A (Anaheim Convention Center) Presentation Type: Oral

Characterization

Passive seismic

10.1190/segam2018-2988492.1

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Citations (1)

High Frequency Seismic Reflection Imaging from Induced Seismicity Recorded on a Dense Array

AGU Fall Meeting Abstracts (2019)

Nicola Ramm Tjaart de Wit Gerrit Olivier

Reflection

Geophysical Imaging

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