Enhanced Geothermal Reservoir Characterization Using Wireline Distributed Acoustic Sensing

Book Chapter (2024)
Author(s)

E.M. Martuganova (TU Delft - Applied Geophysics and Petrophysics, GFZ Helmholtz-Zentrum für Geoforschung)

Ben Norden (GFZ Helmholtz-Zentrum für Geoforschung)

Guido Blöcher (GFZ Helmholtz-Zentrum für Geoforschung)

C. M. Krawczyk (GFZ Helmholtz-Zentrum für Geoforschung, Technical University of Berlin)

Research Group
Applied Geophysics and Petrophysics
DOI related publication
https://doi.org/10.1002/9781394179275.ch21
More Info
expand_more
Publication Year
2024
Language
English
Research Group
Applied Geophysics and Petrophysics
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.@en
Pages (from-to)
385-398
ISBN (print)
9781394179244
ISBN (electronic)
9781394179275
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

Files

Enhanced_Geothermal_Reservoir_... (pdf)
(pdf | 7.48 Mb)
- Embargo expired in 09-06-2025
License info not available