Abstract
We have seismically characterized a Triassic-Jurassic deep geothermal sandstone reservoir north of Copenhagen, onshore Denmark. A suite of regional geophysical measurements, including prestack seismic data and well logs, was integrated with geologic information to obtain facies and reservoir property predictions in a Bayesian framework. The applied workflow combined a facies-dependent calibrated rock-physics model with a simultaneous amplitude-variation-with-offset seismic inversion. The results suggest that certain sandstone distributions are potential aquifers within the target interval, which appear reasonable based on the geologic properties. However, prediction accuracy suffers from a restricted data foundation and should, therefore, only be considered as an indicator of potential aquifers. Despite these issues, the results demonstrate new possibilities for future seismic reservoir characterization and rock-physics modeling for exploration purposes, derisking, and the exploitation of geothermal energy as a green and sustainable energy resource.
Original language | English |
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Pages (from-to) | T275-T291 |
Number of pages | 17 |
Journal | Interpretation |
Volume | 8 |
Issue number | 2 |
DOIs | |
Publication status | Published - May 2020 |
Keywords
- geothermal
- inversion
- reservoir characterization
- rock physics
Programme Area
- Programme Area 3: Energy Resources