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Direct heat resource assessment and subsurface information systems for geothermal aquifers; the Dutch perspective

Published online by Cambridge University Press:  24 March 2014

L. Kramers*
Affiliation:
TNO – Geological Survey of the Netherlands, P.O. Box 80015, 3508 TA Utrecht, the Netherlands
J.-D. van Wees
Affiliation:
TNO – Geological Survey of the Netherlands, P.O. Box 80015, 3508 TA Utrecht, the Netherlands Utrecht University, Faculty of Geosciences, P.O. Box 80021, 3508 TA Utrecht, the Netherlands
M.P.D. Pluymaekers
Affiliation:
TNO – Geological Survey of the Netherlands, P.O. Box 80015, 3508 TA Utrecht, the Netherlands
A. Kronimus
Affiliation:
TNO – Geological Survey of the Netherlands, P.O. Box 80015, 3508 TA Utrecht, the Netherlands
T. Boxem
Affiliation:
TNO – Geological Survey of the Netherlands, P.O. Box 80015, 3508 TA Utrecht, the Netherlands
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Abstract

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A resource assessment methodology has been developed to designate prospective high permeable clastic aquifers and to assess the amount of potential geothermal energy in the Netherlands. It builds from the wealth of deep subsurface data from oil and gas exploration and production which is publicly and digitally available. In the resource assessment various performance indicator maps have been produced for direct heat applications (greenhouse and spatial heating). These maps are based on detailed mapping of depth, thickness, porosity, permeability, temperature and transmissivity (methodology presented in other papers in this NJG issue). In the resource assessment analysis 14 lithostratigraphic units (clastic aquifers) have been considered, ranging in age from the Permian to the Cenozoic. Performance maps have been made which include a) the expected doublet power (MWth) to be retrieved; b) the number of houses or hectares that can be heated from one doublet; and c) a potential indicator map, which provides insight in subsurface suitability for specific applications from a techno-economic perspective. To obtain a nationwide overview of the resource potential in terms of recoverable geothermal energy, a progressive filtering approach was used from total heat content of the reservoirs (Heat In Place – HIP) via the heat that can potentially be recovered (Potential Recovery Heat – PRH) to energy maps taking into account a techno-economic performance evaluation (Recoverable Heat – RH). Results show that the HIP is approximately 820,000 PJ which is significantly more than previous estimates of around 90,000 PJ. This considerable increase in geothermal energy potential is the result of accurate geological mapping of key reservoir properties and the development of state-of-the-art techno-economic performance assessment tools that performs Monte Carlo simulation. Moreover, for the previous estimates boundary conditions were set with the aim to compare the geothermal potential between different EU countries (Rijkers & Van Doorn, 1997). Taking into account techno-economic aspects, the RH is in the order of 85,000 PJ. This is equivalent to ~70% of the ultimate recoverable gas of the Slochteren Gas field. In total over 400 maps have been created or used as input for the resource assessment. Together, they provide comprehensive information for geothermal energy development from various stakeholder perspectives. The maps can be interactively assessed in the web-based portal ThermoGIS (www.thermogis.nl). This application complements existing subsurface information systems available in the Netherlands and supports the geothermal community in assessing the feasibility of a geothermal system on a regional scale.

Type
Research Article
Copyright
Copyright © Stichting Netherlands Journal of Geosciences 2013

References

Bonté, D., Van Wees, J.-D. & Verweij, J.M., 2012. Subsurface temperature of the onshore Netherlands: new temperature dataset and modelling. Netherlands Journal of Geosciences 91–4: 491515, this issue.CrossRefGoogle Scholar
Muffler, L.J.P & Cataldi, R., 1978. Methods for Regional Assessment of Geothermal Resources. Geothermics 7: 5389.CrossRefGoogle Scholar
Pluymaekers, M.P.D, Kramers, L., Van Wees, J.-D., Kronimus, A., Nelskamp, S., Boxem, T. & Bonté, D., 2012. Reservoir characterisation of aquifers for direct heat production: Methodology and screening of the potential reservoirs for the Netherlands. Netherlands Journal of Geosciences 91–4: 621636, this issue.CrossRefGoogle Scholar
Rijkers, R. & Van Doorn, T.H.M, 1997. Atlas of geothermal resources in the European Community, the Netherlands. Netherlands Institute of Applied Geoscience TNO (Utrecht), Report number Report 97-24-A.Google Scholar
TNO-NITG, 2004. Geological Atlas of the Subsurface of the Netherlands - onshore. Netherlands Institute of Applied Geoscience TNO (Utrecht), 104 pp.Google Scholar
Van Wees, J.-D., Kronimus, A., Van Putten, M., Pluymaekers, M.P.D, Mijnlieff, H.F., Van Hooff, P., Obdam, A. & Kramers, L., 2012. Geothermal aquifer performance assessment for direct heat production – Methodology and application to Rotliegend aquifers. Netherlands Journal of Geosciences 91–4: 651665, this issue.Google Scholar
Warmteatlas Nederland, 2012. www.warmteatlas.nl.Google Scholar