Results of academic research for use in the daily business of geological survey
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1 Results of academic research for use in the daily business of geological survey Case Study Lower Main Plains Hannah Budde (1), Christian Hoselmann (2), Rouwen Lehné (2), Heiner Heggemann (2), Andreas Hoppe (1) (1) Technische Universität Darmstadt (2) Hessisches Landesamt für Umwelt und Geologie (HLUG)
2 Case Study The Lower Main Plains Quaternary Tertiary Wetterau Early Triassic Early Permian Pre-Permian Frankfurt am Main Wiesbaden Mainz Mainz Basin Upper Rhine Graben Hanau Basin N 10km Geologische Übersichtskarte Hessen 1: ; Topographische Grundkarte Hessen 1:
3 Settlement and infrastructure Frankfurt/Main: Centre Metropolitan Region Frankfurt/Rhine-Main ca inhabitants ca. 250 km² Surface sealing ca. 57% Increase from in % Regionalverband FrankfurtRheinMain
4 Study Area The Lower Main Plains Goals: Creation of a parametrized high resolution geological 3D-model for the Lower Main Plains Visualization and parametrization of important quaternary and tertiary units Easily comprehensible for external user Compatibility with existing models at the HLUG Input Data: 20,000 project related wells 26 geological maps 1:25,000
5 Co-operation staff scientific approaches data technical expertise Co-operation money Hardware Software long term experience in regional geology
6 Oligocene Tertiary Miocene Target horizons Quaternary Pliocene differentiation in terraces and aeolian sediments Base Quaternary Base Pliocene distribution and Base Basalt Formation distribution and Base Ginnheim Coal Base Frankfurt Clay Limestones Base Tertiary limestones Marls Modified afterradtke et al. 2009
7 Challenges regarding Well Data
8 Challenges regarding Well Data Quality Check leads to a reduction of 51% Wrong coordinates Missing geological description Wrong depths Wrong petrographic description
9 Challenges regarding Well Data Quality Check leads to a reduction of 51% Wrong coordinates Missing geological description Wrong depths Wrong petrographic description But still 9,287 wells with more than 200,000 layers semiautomatic queries necessary
10 Differentiation Well Data Loess Aeolian Sand Terrace sediments Wiesbaden Frankfurt am Main Hanau Mainz
11 Structural Model - Quaternary Lower Main Terrace Formation Main (t1) Middle (t2-t5) Lower (t6-t7) Terrace sediments undifferentiated Frankfurt am Main Hanau Wiesbaden Mainz
12 Structural Model - Quaternary Lower Main Terrace Formation Main (t1) Middle (t2-t5) Lower (t6-t7) Terrace sediments undifferentiated Frankfurt am Main Hanau Wiesbaden Mainz
13 Structural Model - Quaternary Lower Main Terrace Formation Main (t1) Middle (t2-t5) Lower (t6-t7) Terrace sediments undifferentiated Frankfurt am Main Hanau Wiesbaden Mainz
14 Structural Model - Quaternary Lower Main Terrace Formation Main (t1) Middle (t2-t5) Lower (t6-t7) Terrace sediments undifferentiated Frankfurt am Main Hanau Wiesbaden Mainz
15 Structural Model - Quaternary Lower Main Terrace Formation Main (t1) Middle (t2-t5) Lower (t6-t7) Terrace sediments undifferentiated Frankfurt am Main Hanau Wiesbaden Mainz Applications: Raw materials, groundwater
16 Structural Model - Quaternary Lower Main Terrace Formation Main (t1) Middle (t2-t5) Lower (t6-t7) Terrace sediments undifferentiated Frankfurt am Main Hanau Wiesbaden Mainz Applications: Raw materials, groundwater Science: Northward movement of the riverbed. Tectonics and/or climate?
17 Structural Model - Quaternary Lower Main Terrace Formation Main (t1) Middle (t2-t5) Lower (t6-t7) Terrace sediments undifferentiated Frankfurt am Main Hanau Wiesbaden Mainz Aeolian Sediments Loess Sand Transition zone
18 Structural Model - Quaternary Lower Main Terrace Formation Main (t1) Middle (t2-t5) Lower (t6-t7) Terrace sediments undifferentiated Frankfurt am Main Hanau Wiesbaden Mainz Aeolian Sediments Loess Sand Transition zone
19 Volume Model Data Preparation Original Well Data Lithology e.g. Permeability Kf - value sand ~ 10-3 to 10-5 m/s gravel sand gravel ~ 10-1 to 10-2 m/s ~ 10-3 to 10-5 m/s ~ 10-1 to 10-2 m/s sandy silt gravelly sand ~ 10-5 to 10-6 m/s ~10-3 to 10-4 m/s sandy silt sand ~ 10-5 to 10-6 m/s ~ 10-3 to 10-5 m/s Generalization Parametrization
20 Generalized Data Major Grain Size Gravel Sand Wiesbaden Frankfurt am Main Hanau Silt Clay Mainz
21 Conclusions Questions: geodynamics paleoenvironmental reconstruction. 3D content visualization internal /external Research daily business work Opportunities for young scientists: PhD B.Sc. /M.Sc Publications scientific benefit scientific benefit Task fields: groundwater shallow geothermal energy raw materials construction ground
22 Thank You
23
24 Loess Aeolian Sand Terrace sediments Top Tertiary
25 Herleitung Workflow
26 Quality Check Workflow HLUG Borehole Database Petrographic description: Layer depth Grain size Optional: Carbonate content Colour Fossils Organic content. Stratigraphic Interpretation Unit specific evaluation matrix LayerID W01_01 W01_02 W01_03. Parameter Parameter Parameter Total% 33% 33% 66%. Classification & Weighting Other input data: 26 geologic maps 1:25,000 Publications Expert knowledge Quality depends on: Editor Drilling method Sample rate Structural model 3D-Modelling Volume Grid (attributes)
27 Workflow
28 Conclusions and Outlook
29 Stratigraphic concepts quelle
30 Well data Borehole database HLUG Ca project related wells more than single layers (Semi-) automatic approach necessary! Challenges regarding well data: Heterogeneity of wells in spatial distribution and total Depth Heterogeneity in well quality, depending mainly on: Drilling method Sample rate Accuracy in core description Heterogeneity in stratigraphic Interpretation, depending mainly on: editor Varying stratigraphic concepts
31 Stratigraphic concepts
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