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CO2 storage potential of the Middle Buntsandstein Subgroup - EEZ of the German North Sea

The CO2 storage potential of the Middle Buntsandstein Subgroup within the Exclusive Economic Zone (EEZ) of the German North Sea was analysed within the framework of the GEOSTOR-Project. A total of 71 potential storage sites were mapped based on existing 3D models, seismic and well data. Static CO2 capacities were calculated for each structure using Monte Carlo simulations with 10,000 iterations to account for uncertainties. All potential reservoirs were evaluated based on their static capacity, burial depth, top seal integrity and trap type. Analysis identified 38 potential storage sites with burial depths between 800 m and 4500 m, reservoir capacities (P50) above 5 Mt CO2 and suitable sealing units. The best storage conditions are expected on the West Schleswig Block where salt-controlled anticlines with moderate burial depths, large reservoir capacities and limited lateral flow barriers are the dominant trap types. Relatively poor storage conditions can be anticipated for small (P50 <5 Mt CO2), deeply buried (> 4500 m) and structurally complex potential storage sites in the Horn and Central Graben. For more detailed information on the methodology and findings, please refer to the full publication: Fuhrmann, A., Knopf, S., Thöle, H., Kästner, F., Ahlrichs, N., Stück, H. L., Schlieder-Kowitz, A. und Kuhlmann, G. (2024) CO2 storage potential of the Middle Buntsandstein Subgroup - German sector of the North Sea. Open Access International Journal of Greenhouse Gas Control, 136 . Art.Nr. 104175. DOI 10.1016/j.ijggc.2024.104175

Reservoir-modelling and parametrization of a potential reservoir structure (Pilot area A) in the German North Sea

As part of the CDRmare joint project GEOSTOR (https://geostor.cdrmare.de/), the BGR created detailed static geological 3D models for two potential CO2 storage structures in the Middle Buntsandstein in the Exclusive Economic Zone (EEZ) of the German North Sea and supplemented them with petrophysical parameters (e.g. porosities, permeabilities). The 3D geological model (Pilot area A; ~1300 km2) is located on the West Schleswig Block in the area of the Henni salt pillow (pilot region A). It is based on 2D seismic data from various surveys and geophysical/geological information from four exploration wells. The model comprises 14 generalized faults and the following 14 horizon surfaces: 1) Sea Floor, 2) Mid Miocene Unconformity, 3) Base Rupelian, 4) Base Tertiary, 5) Base Upper Cretaceous, 6) Base Lower Cretaceous, 7) Base Muschelkalk, 8) Base Röt (Pelite), 9) Base Röt (Salinar), 10) Base Solling Formation, 11) Base Detfurth Formation, 12) Base Volpriehausen Formation, 13) Base Triassic, 14) Base Zechstein. The selected potential reservoir structure in the Middle Buntsandstein is formed by an anticline created by the uplift of the underlying Henni salt pillow. The primary reservoir unit is the 40-50 m thick Lower Volpriehausen Sandstone, the main sealing units are the Röt and the Lower Cretaceous. Petrophysical analyses of all considered well data were conducted and reservoir properties (including porosity and permeability) were calculated to determine the static reservoir capacity for these potential CO2 storage structures. Both models were parameterized and can be used for further dynamic simulations of storage capacity, geo-risk, and infrastructure analyses, in order to develop a comprehensive feasibility study for potential CO2 storage within the project framework. The 3D models were created by the BGR between 2021 and 2024. SKUA-GOCAD was used as the modeling software. We would like to thank AspenTech for providing licenses for their SSE software package as part of the Academic Program (https://www.aspentech.com/en/academic-program).

INSPIRE Land Cover CLC5 2015

This dataset clc5 (2015) describes the landscape according to the CORINE Land Cover (CLC) nomenclature. These classes contain mainly information about landcover mixed with some aspects of landuse. CLC5 is based on the more detailed German landcover model from 2015 (LBM-DE2015) which uses separate classes for landcover and landuse and attribute-information about percentage of vegetation and sealing. The mimimum unit for an object is 1 ha. For the CLC5 dataset landcover and landuse classes are combined to unique CLC-classes taking into account the percentage of vegetation and sealing , followed by a generalisation process.

INSPIRE Land Cover CLC5 2012

This dataset clc5 (2012) describes the landscape according to the CORINE Land Cover (CLC) nomenclature. These classes contain mainly information about landcover mixed with some aspects of landuse. CLC5 is based on the more detailed German landcover model from 2012 (LBM-DE2012) which uses separate classes for landcover and landuse and attribute-information about percentage of vegetation and sealing. The mimimum unit for an object is 1 ha. For the CLC5 dataset landcover and landuse classes are combined to unique CLC-classes taking into account the percentage of vegetation and sealing , followed by a generalisation process.

CO2 storage potential of the Middle Buntsandstein Subgroup - EEZ of the German North Sea

The CO2 storage potential of the Middle Buntsandstein Subgroup within the Exclusive Economic Zone (EEZ) of the German North Sea was analysed within the framework of the GEOSTOR-Project. A total of 71 potential storage sites were mapped based on existing 3D models, seismic and well data. Static CO2 capacities were calculated for each structure using Monte Carlo simulations with 10,000 iterations to account for uncertainties. All potential reservoirs were evaluated based on their static capacity, burial depth, top seal integrity and trap type. Analysis identified 38 potential storage sites with burial depths between 800 m and 4500 m, reservoir capacities (P50) above 5 Mt CO2 and suitable sealing units. The best storage conditions are expected on the West Schleswig Block where salt-controlled anticlines with moderate burial depths, large reservoir capacities and limited lateral flow barriers are the dominant trap types. Relatively poor storage conditions can be anticipated for small (P50 <5 Mt CO2), deeply buried (> 4500 m) and structurally complex potential storage sites in the Horn and Central Graben. For more detailed information on the methodology and findings, please refer to the full publication: Fuhrmann, A., Knopf, S., Thöle, H., Kästner, F., Ahlrichs, N., Stück, H. L., Schlieder-Kowitz, A. und Kuhlmann, G. (2024) CO2 storage potential of the Middle Buntsandstein Subgroup - German sector of the North Sea. Open Access International Journal of Greenhouse Gas Control, 136 . Art.Nr. 104175. DOI 10.1016/j.ijggc.2024.104175

Reservoir-modelling and parametrization of a potential reservoir structure (Pilot area A) in the German North Sea

As part of the CDRmare joint project GEOSTOR (https://geostor.cdrmare.de/), the BGR created detailed static geological 3D models for two potential CO2 storage structures in the Middle Buntsandstein in the Exclusive Economic Zone (EEZ) of the German North Sea and supplemented them with petrophysical parameters (e.g. porosities, permeabilities). The 3D geological model (Pilot area A; ~1300 km2) is located on the West Schleswig Block in the area of the Henni salt pillow (pilot region A). It is based on 2D seismic data from various surveys and geophysical/geological information from four exploration wells. The model comprises 14 generalized faults and the following 14 horizon surfaces: 1) Sea Floor, 2) Mid Miocene Unconformity, 3) Base Rupelian, 4) Base Tertiary, 5) Base Upper Cretaceous, 6) Base Lower Cretaceous, 7) Base Muschelkalk, 8) Base Röt (Pelite), 9) Base Röt (Salinar), 10) Base Solling Formation, 11) Base Detfurth Formation, 12) Base Volpriehausen Formation, 13) Base Triassic, 14) Base Zechstein. The selected potential reservoir structure in the Middle Buntsandstein is formed by an anticline created by the uplift of the underlying Henni salt pillow. The primary reservoir unit is the 40-50 m thick Lower Volpriehausen Sandstone, the main sealing units are the Röt and the Lower Cretaceous. Petrophysical analyses of all considered well data were conducted and reservoir properties (including porosity and permeability) were calculated to determine the static reservoir capacity for these potential CO2 storage structures. Both models were parameterized and can be used for further dynamic simulations of storage capacity, geo-risk, and infrastructure analyses, in order to develop a comprehensive feasibility study for potential CO2 storage within the project framework. The 3D models were created by the BGR between 2021 and 2024. SKUA-GOCAD was used as the modeling software. We would like to thank AspenTech for providing licenses for their SSE software package as part of the Academic Program (https://www.aspentech.com/en/academic-program).

Geeignete Rechtsinstrumente für die nationale Umsetzung der bodenbezogenen sustainable development goals, insbesondere des Ziels einer „land degradation neutral world“

Der Forschungsbericht untersucht mit einer juristischen Analyse, ob und inwiefern das deutsche Recht geeignet ist, das nachhaltige Entwicklungsziel einer "land degradation-neutral world" (LDN) bis 2030 zu erreichen, und macht Verbesserungsvorschläge. Außerdem bereitet das Projekt die Ergebnisse so auf, dass sie als "lessons learned" im internationalen Austausch Anregungen und Impulse für andere Staaten geben können. Das Projekt arbeitet die konzeptionellen Elemente von LDN heraus und bewertet das deutsche Recht entsprechend. Die Untersuchung konzentriert sich dabei auf ⁠ Erosion ⁠ durch Landwirtschaft in Mecklenburg-Vorpommern, Versiegelung durch Siedlung und Kontamination durch Industrie. The research report provides a legal assessment of whether German law is suitable to achieve the sustainable development goal "land degradation neutral word" (LDN) by 2030, and recommends options for improvement. It also compiles and explains key insights and lessons learned in English, as a contribution to the international discussion on implementing LDN. The project defines the conceptual elements of LDN and applies them as criteria to assess German law. The study focuses on erosion, sealing by human settlement, and pollution by industry. Veröffentlicht in Texte | 48/2019.

Emissions of material preservatives into the environment – realistic estimation of environmental risks through the improved characterisation of the leaching of biocides from treated materials used outdoors

This report supports the implementation of European regulations on biocidal products for the product types 7, 9 and 10. ⁠ Emission ⁠ of active substances from material preservatives into environmental compartments can occur due precipitation. Risk characterisations have to be based on estimations of environmental concentrations of target substances leached from material preservatives. Harmonised test procedures are required to predict environmental impact due to leaching. Seventeen treated articles, mainly paints, but also a textile, sealing tapes and sealing masses were investigated by intermittent contact to water to prove suitability of the proposed laboratory and field test procedure. Veröffentlicht in Texte | 22/2016.

NG-Herstellung\EU-Fisch-Fang-Meer-EU-Konserven-2010

Prozess: Herstellung von Obst- und Gemüsekonserven in 2010 Anwendbar für alle Sorten von Obst und Gemüse Allokation: Processing Step Electricity % Inspection, grading, washing, peeling, cutting, slicing or pulping 44,2% Cooling 15,9% Packaging 17,1% Canning (filling and sealing) 22,8% Others 0,0% Processing Step Heat % Washing 19,6% Blanching 18,0% Cooking 18,0% Brine heating 9,0% Canning (exhausting, sealing, sterilization, can washing) 35,4% Others 0,0% Reststoff 1: G&O-Abfälle

NG-Herstellung\DE-Fisch-Fang-Meer-EU-Konserven-2010

Prozess: Herstellung von Obst- und Gemüsekonserven in 2010 Anwendbar für alle Sorten von Obst und Gemüse Allokation: Processing Step Electricity % Inspection, grading, washing, peeling, cutting, slicing or pulping 44,2% Cooling 15,9% Packaging 17,1% Canning (filling and sealing) 22,8% Others 0,0% Processing Step Heat % Washing 19,6% Blanching 18,0% Cooking 18,0% Brine heating 9,0% Canning (exhausting, sealing, sterilization, can washing) 35,4% Others 0,0% Reststoff 1: G&O-Abfälle

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