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| Titel |
The role of Geophysics for a sustainable environment: potentials, challenges and limitations |
| VerfasserIn |
Stefan Buske |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250045127
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| Zusammenfassung |
| The increasing worldwide demand for energy including the exploration of new resources are
provoking prompt activities to guarantee a safe accomplishment together with a conscientious
protection of the environment.
Within this framework geophysical technologies play a key role for the profound assessment
and characterization of the subsurface, which hosts most of the corresponding targets of
human interest. These technologies (active- and passive-source seismology, electromagnetics,
etc.) are expected to deliver a reliable and highly-resolved image of the subsurface including
its structural inventory and the related rock-physical parameters on a broad scale and
depending on the used inversion methodology.
In particular in terms of energy and resources, i.e. the exploration and partly the storage and
disposal of end-products, the existing geophysical imaging techniques are well suited for
both, the over-the-years well established oil/gas industry as well as for newer emerging
industry branches, e.g. geothermal energy. On the other hand the related problems,
e.g. induced earthquakes, are currently stimulating various research areas and the
development of new technologies for a better understanding and prediction of the inherent
processes and a more reliable risk assessment. This applies in equally the same manner to
natural phenomena, including but not limited to natural earthquakes, vulcanoes, landslides,
etc.
This presentation will summarize the key issues as well as the possibilities and potentials of
existing geophysical monitoring and prediction approaches within this framework.
Furthermore, some of the current challenges will be addressed, e.g. the required steps
towards an improvement of image quality and resolution along with an increased
computational efficiency of these methodologies. Finally, also the limitations of
state-of-the-art technologies will be discussed with an assortment of successful and failed
case studies that demonstrate the potential pitfalls and illustrate the future needs and required
research/working directions. |
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