Abstract

AbstractThe positive impact that natural fractures can have on geothermal heat production from low-permeability reservoirs has become increasingly recognised and proven by subsurface case studies. In this study, we assess the potential impact of natural fractures on heat extraction from the tight Lower Buntsandstein Subgroup targeted by the recently drilled NLW-GT-01 well (West Netherlands Basin (WNB)). We integrate: (1) reservoir property characterisation using petrophysical analysis and geostatistical inversion, (2) image-log and core interpretation, (3) large-scale seismic fault extraction and characterisation, (4) Discrete Fracture Network (DFN) modelling and permeability upscaling, and (5) fluid-flow and temperature modelling. First, the results of the petrophysical analysis and geostatistical inversion indicate that the Volpriehausen has almost no intrinsic porosity or permeability in the rock volume surrounding the NLW-GT-01 well. The Detfurth and Hardegsen sandstones show better reservoir properties. Second, the image-log interpretation shows predominately NW–SE-orientated fractures, which are hydraulically conductive and show log-normal and negative-power-law behaviour for their length and aperture, respectively. Third, the faults extracted from the seismic data have four different orientations: NW–SE, N–S, NE–SW and E–W, with faults in proximity to the NLW-GT-01 having a similar strike to the observed fractures. Fourth, inspection of the reservoir-scale 2D DFNs, upscaled permeability models and fluid-flow/temperature simulations indicates that these potentially open natural fractures significantly enhance the effective permeability and heat production of the normally tight reservoir volume. However, our modelling results also show that when the natural fractures are closed, production values are negligible. Furthermore, because active well tests were not performed prior to the abandonment of the Triassic formations targeted by the NLW-GT-01, no conclusive data exist on whether the observed natural fractures are connected and hydraulically conductive under subsurface conditions. Therefore, based on the presented findings and remaining uncertainties, we propose that measures which can test the potential of fracture-enhanced permeability under subsurface conditions should become standard procedure in projects targeting deep and potentially fractured geothermal reservoirs.

Highlights

  • In the Netherlands, geothermal energy is regarded as a viable contribution to the required sustainable energy mix, and it is estimated that the total recoverable heat from sedimentary aquifers is 55 times larger than the Dutch annual heat consumption (Kramers et al, 2012; Willems, 2017)

  • While the main conclusions of this study suggest that the observed natural fractures can positively impact flow and geothermal heat extraction, it should be noted that the prediction, characterisation and modelling of natural fractures away from available well data remains an uncertain process (Maerten et al, 2006; Laubach et al, 2019)

  • This study implements a multiscale workflow of petrophysical analysis, geostatistical inversion, image-log interpretation, seismic discontinuity analysis and Discrete Fracture Network (DFN)- and geothermal modelling, in order to assess the potential impact of fractures on heat extraction from tight Lower Triassic sandstones in the West Netherlands Basin (WNB)

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Summary

Introduction

In the Netherlands, geothermal energy is regarded as a viable contribution to the required sustainable energy mix, and it is estimated that the total recoverable heat from sedimentary aquifers is 55 times larger than the Dutch annual heat consumption (Kramers et al, 2012; Willems, 2017). Because of this potential, the Dutch government wants to increase geothermal production to 50 PJ/a in 2030, which is equivalent to the annual heat consumption of 1 million Dutch households. Another reason why the WNB is attractive for geothermal energy development is that large quantities of geological and geophysical data (e.g. seismic data, well data and geological models) are freely available online (www.nlog.nl; e.g. Duin et al, 2006; Kombrink et al, 2012; Pluymaekers et al, 2012; Willems & Nick, 2019)

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