Details of Award
NERC Reference : NE/N018818/1
Python solutions for management of continuous seismic data and ambient noise interferometry
Training Grant Award
- Lead Supervisor:
- Dr S De Angelis, University of Liverpool, Earth, Ocean and Ecological Sciences
- Grant held at:
- University of Liverpool, Earth, Ocean and Ecological Sciences
- Science Area:
- Earth
- Overall Classification:
- Earth
- ENRIs:
- Environmental Risks and Hazards
- Natural Resource Management
- Science Topics:
- Geohazards
- Properties Of Earth Materials
- Tectonic Processes
- Volcanic Processes
- Abstract:
- Seismic interferometry deals with imaging and monitoring changes in the Earth's subsurface. Its uses range from assessment of seismic and volcanic hazards to applications within the oil and gas exploration industry. Ambient noise interferometry exploits the properties of the natural background seismic field of the Earth in order to reconstruct images of the subsurface, and to track deformation and changes in the properties of materials through time. In order to investigate the subsurface, traditional seismology exploits elastic waves generated from earthquakes while additional energy recorded in seismograms, such as the background oscillations of the Earth, is neglected. In recent years, seismic interferometry demonstrated that valuable information can be extracted from the ambient noise field, in particular that it is possible to generate virtual seismograms by analyzing this ubiquitous background seismic energy. In simple words, seismic interferometry allows turning noise into a useful signal. Research and other hazard-related applications of these new theories and methods have included tracking pre-eruption magma migration, measurements of deformation associated with large earthquakes, and time-lapse monitoring of changes in fluid pressure within the crust. Beyond research within academia, seismic interferometry is rapidly finding a place in exploration and production geophysics. For example, it can be utilized during hydro-fracturing experiments to map the extent of induced fractures, or applied to time-lapse monitoring of CO2 storage. It has been employed in civil engineering applications such as assessing the response of buildings to ground shaking. Additional applications within the exploration industry included constructing images of the subsurface equivalent to those acquired during active source seismic surveys. A particularly promising use of seismic interferometry within exploration deals with simulation and removal of unwanted signals from active source seismograms. The breadth of the applications of seismic interferometry clearly demonstrates that these methods are of immediate interest to the scientific community, and the exploration and production industry. A rapid surge in the number of academic and professional publications in the fields of ambient noise seismology and seismic interferometry over the past ten years also demonstrates great interest and widespread engagement of the scientific community with respect to these methods and theories. The rapidly increasing interest in seismic interferometry strongly suggests that appropriate training at the postgraduate level and early career stage would be highly valued within the scientific community. Ambient noise interferometry poses challenges in terms of management and processing of large amounts of seismic data and metadata. This training initiative is the first of this kind in the United Kingdom. The participants will acquire working knowledge of the scientific foundations of seismic interferometry and ambient noise seismology, and their practical application to a range of seismic data. The initiative will provide training in the use of the open-source Python software - one of today's research and industry standards - for the analysis of "big" seismic data, and the application of ambient noise interferometry workflow. Training will be delivered by world-class experts in the fields of ambient noise interferometry, and in the implementation of software solutions for management and processing of seismic data. The impact if this initiative is closely linked to the diverse field of beneficiaries identified and strongly focussed on training postgraduates and early career researchers. The initiative aims to provide the next generation of researchers with essential knowledge and skills that will benefit academia and the exploration industry in the UK.
- NERC Reference:
- NE/N018818/1
- Grant Stage:
- Completed
- Scheme:
- Doctoral Training
- Grant Status:
- Closed
- Programme:
- Advanced Training
This training grant award has a total value of £12,000
FDAB - Financial Details (Award breakdown by headings)
| Total - Other Costs |
|---|
| £12,000 |
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