Abstract
Successful across-scale reservoir characterization is a prerequisite for sustainable utilization of the subsurface. Here, we discuss aspects of distributed acoustic sensing (DAS) vertical seismic profiling (VSP) acquisition in Germany and provide an example of data integration for reservoir characterization at the geothermal research platform Groß Schönebeck, aiming to utilize Permian and Permo-Carboniferous reservoir sections at depths below 4 km. At this site, DAS VSP wireline data obtained in two boreholes were processed successfully for 3D interpretation. The data and their interpretation serve as input for a fundamental update of the structural and property characterization of the reservoir zones, relying on the integration of conventional surface 3D seismics and joint core-log analysis. The new model provides a much more detailed characterization of the target reservoirs, allowing for the first time a geological-based (facies-driven) parameterization of the subsurface, considering hydraulic and thermal properties of the reservoir-forming rocks.
| Original language | English |
|---|---|
| Title of host publication | Distributed Acoustic Sensing in Borehole Geophysics |
| Editors | Yingping Li, Robert Mellors, Ge Zhan |
| Place of Publication | Hoboken, NJ |
| Publisher | Wiley |
| Pages | 385-398 |
| Number of pages | 14 |
| ISBN (Electronic) | 9781394179275 |
| ISBN (Print) | 9781394179244 |
| DOIs | |
| Publication status | Published - 2024 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl.Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Data integration
- Geological-based parameterization
- Geothermal reservoir characterization
- Groß Schönebeck
- Vertical seismic profiling
- Wireline distributed acoustic sensing