3D-modelling of thermal history and simulation of methane and nitrogen migration along the Northeast German seismic DEKORP profile 9601

Friberg, Lothar; Poelchau, H. S.; Krooß, Bernhard M.; Littke, Ralf

doi:10.1016/s0375-6742(00)00098-4

Cited by 12 publications

(5 citation statements)

References 2 publications

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“…Beyond this R r , the methane generation potential decreases with increasing rank of the coal. Experimental results indicate that the yield of methane is very low at a R r of 3.5% (Friberg et al, 2000). Therefore the cumulative methane generation curve significantly increases between about 1.0% R r and 3% R r (Higgs, 1986).…”

Section: Introductionmentioning

confidence: 94%

“…There is a limited amount of data on the generation of gas from Carboniferous coals during heating experiments. Different pyrolysis systems, such as open (Krooss et al, 1995;Friberg et al, 2000;Cramer, 2004), anhydrous closed (Higgs, 1986), hydrous (Kotarba and Lewan, 2004), MSSV (Schenk and Horsfield, 1998), and confined (Piedad-Sánchez et al, 2005) have been used to estimate the gas-generating potential of Carboniferous coals. Two Carboniferous coals from the Donets Basin in the Ukraine (Alsaab et al, 2007b) were pyrolysed in a confined pyrolysis system, covering a maturity range from 1.07 to 2.78%R r .…”

Section: Introductionmentioning

confidence: 99%

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Distribution of thermogenic methane in Carboniferous coal seams of the Donets Basin (Ukraine): “Applications to exploitation of methane and forecast of mining hazards”

Alsaab

Montchowui

Izart

et al. 2009

International Journal of Coal Geology

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Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Distribution of thermogenic methane in Carboniferous coal seams of the Donets Basin (Ukraine): “Applications to exploitation of methane and forecast of mining hazards”

Alsaab

Montchowui

Izart

et al. 2009

International Journal of Coal Geology

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“…Balling et al, 2013;Sippel et al, 2013;Scheck-Wenderoth et al, 2014), thermal maturity studies (e.g. Friberg et al, 2000;Rodon and Littke, 2005), type and configuration of basement and lower boundary (e.g. Scheck, 1997;Marotta et al, 2000;Cacace et al, 2010;Noack et al, 2012), reservoir production and lifetime (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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“…Other published thermal models of the NEGB consider a coupled temperature and burial history, calibrated by organic-maturity parameters and temperature recordings in boreholes and with heat-flow values below the sedimentary veneer used as a boundary condition (Friberg et al, 2000, Friberg, 2001. Vosteen et al (2004) estimated the present-day heat-flow distribution at 6 km Heat flow and lithospheric thermal regime in the NEGB - depth in the basement across the NEGB using inverse modelling of the steady-state conductive thermal regime based on λ, A, and borehole temperature information.…”

Section: Introductionmentioning

confidence: 99%

Heat flow and lithospheric thermal regime in the Northeast German Basin

2008

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3D-modelling of thermal history and simulation of methane and nitrogen migration along the Northeast German seismic DEKORP profile 9601

Cited by 12 publications

References 2 publications

Distribution of thermogenic methane in Carboniferous coal seams of the Donets Basin (Ukraine): “Applications to exploitation of methane and forecast of mining hazards”

Distribution of thermogenic methane in Carboniferous coal seams of the Donets Basin (Ukraine): “Applications to exploitation of methane and forecast of mining hazards”

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

Heat flow and lithospheric thermal regime in the Northeast German Basin

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