The deep thermal field of the Glueckstadt Graben

Balling, Philipp; Maystrenko, Yuriy; Scheck‐Wenderoth, Magdalena

doi:10.1007/s12665-013-2750-z

Cited by 14 publications

(14 citation statements)

References 32 publications

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“…A broad range of scientific issues was examined, with special emphasis on the analysis of the present day thermal structure (e.g. Scheck, 1997;Bayer et al, 1997;Ondrak et al, 1999;Vosteen et al, 2004;Norden et al, 2008;Noack et al, 2010;Norden et al, 2012;P. Balling et al, 2013;Sippel et al, 2013;Scheck-Wenderoth et al, 2014), thermal maturity studies (e.g.…”

Section: Previous Modelling Studiesmentioning

confidence: 99%

Improving the temperature predictions of subsurface thermal models by using high-quality input data. Part 2: A case study from the Danish-German border region

Fuchs

Balling

2016

Geothermics

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Highlights 3D steady-state thermal FE model using Feflow  Well-log based parameterization approach  Spatial parameterization of rock thermal conductivity  New heat-flow data  North German Basin (Danish-German border area) ABSTRACT We present a 3D numerical crustal temperature model and analyse the present-day conductive thermal field of the Danish-German border region. The model region covers the northernmost part of the North German Basin, a transition zone between the deep-reaching sedimentary rocks of the Glückstadt Graben (including complex salt structures) and the shallow crystalline basement of the Ringkøbing-Fyn High. The modelling approach is novel as it implements for the first time a comprehensive analysis of well-log data on a regional modelling scale. Those logs were used both to derive the spatial distribution of rock thermal conductivity across the study area, and to calculate heat flow values. New values of terrestrial surface heat flow are reported for eight deep boreholes in the North German Basin ranging from 72 to 84 mW/m² with a mean of 80 ± 5 mW/m². The values are computed from continuous temperature logs, carefully corrected BHT values, drill-stem tests and well-log derived rock thermal properties (thermal conductivity, radiogenic heat production) and were included in the setup of the numerical lower boundary conditions. New surface heat flow is up to 20 mW/m² higher than low values reported in some previous studies for this region. Heat flow from the mantle is 33 to 40 mW/m². The model temperature predictions are validated against 59 temperature observations from 24 wells. The prediction uncertainties between observed and modelled temperatures at deep borehole sites are small (rms = 3.5 °C, ame = 2.1 °C). Pronounced lateral temperature variations are predicted and found to be caused mainly by complex geological structures, including a large amount of salt structures and marked lateral variations in the thickness of basin sediments. The associated variations in rock thermal conductivity generate significant variations in model heat flow and large variations in temperature gradients.With regard to the utilization of geothermal energy, the Rhaetian and the Middle Buntsandstein sandstone reservoirs are found with temperatures within the range of 40-80 °C, suitable for low enthalpy heating purposes, in most of the area and locally also with higher temperatures.Temperatures above 120 °C, of interest for the production of electricity, are observed only in the very southeastern part of the study area.

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Section: Previous Modelling Studiesmentioning

confidence: 99%

Improving the temperature predictions of subsurface thermal models by using high-quality input data. Part 2: A case study from the Danish-German border region

Fuchs

Balling

2016

Geothermics

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“…In a high temperature and high pressure environment, the coupled effect of water and heat serves as the driving forces of groundwater flow. It further dominates the dynamics of deep hydrothermal circulations (Balling et al 2013;Nield and Bejan 2013;Yang et al 2013). A detailed analysis on hydrothermal systems will advance our understanding on the deep hydrogeological processes, which has wide impact in the fields of geological engineering, environmental impact assessment, and natural hazards protection.…”

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confidence: 99%

Recent studies on hydrothermal systems in China: a review

et al. 2014

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This paper reviews the state-of-the-art in hydrothermal systems in China with emphasis on current studies of potential and reservoir engineering. Three hydrothermal systems, namely, Yangbajing, Xianyang, and Xiongxian, are used as case studies to represent high temperature granite reservoirs, medium-to-low temperature sandstone reservoirs, and medium-to-low temperature carbonate reservoirs, respectively. There is a huge potential of hydrothermal resources in China that have not been fully studied for possible exploitation. The study reveals that the potential of developing hydrothermal resources is preferable to exploitation of hot-dry-rock (HDR) systems in the near future. In order to enhance the utilization efficiency and prolong the economic lifetime of a geothermal field, reinjection needs to be increased, including treated wastewater as an option. In this regard, deep karstic aquifers containing hot water are the most ideal targets for development due to their favorable characteristics including high single-well yield, low salinity, easy reinjection, and fewer environmental impacts when exploited. The next challenge lies in the geothermal reservoir management for sustainable production. Numerical models describing the full complexity of coupled physicochemical thermodynamic processes such as the open source OpenGeoSys modeling platform are powerful tools for production planning as well as for assessing the possible environmental impacts. Comprehensive reservoir simulation should be employed to provide an optimal fluid production scheme and to maximize the sustainability in the development of a hydrothermal field.

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“…The papers by Balling et al (2013) and by Noack et al (2013) present regional modelling studies assessing the deep geothermal field below different parts of Northern Germany. They demonstrate that regional models integrating complex geology and physical laws of heat transport can reasonably predict temperature distribution at depth.…”

Section: Geothermal Technologiesmentioning

confidence: 99%