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1.
  • Ask, Maria, et al. (author)
  • A hydraulic stress measurement system for deep borehole investigations
  • 2017
  • In: Geophysical Research Abstracts. - : European Geosciences Union (EGU). - 1029-7006 .- 1607-7962. ; 19
  • Journal article (other academic/artistic)abstract
    • Lulea University of Technology (LTU) is developing and building a wire-line system for hydraulic rock stress measurements, with funding from the Swedish Research Council and Lulea University of Technology. In this project, LTU is collaborating with University of Strasbourg and Geosigma AB. The stress state influences drilling and drillability, as well as rock mass stability and permeability. Therefore, knowledge about the state of in-situ stress (stress magnitudes, and orientations) and its spatial variation with depth is essential for many underground rock engineering projects, for example for underground storage of hazardous material (e.g. nuclear waste, carbon dioxide), deep geothermal exploration, and underground infrastructure (e.g. tunneling, hydropower dams). The system is designed to conduct hydraulic stress testing in slim boreholes. There are three types of test methods: (1) hydraulic fracturing, (2) sleeve fracturing and (3) hydraulic testing of pre-existing fractures. These are robust methods for determining in situ stresses from boreholes. Integration of the three methods allows determination of the three-dimensional stress tensor and its spatial variation with depth in a scientific unambiguously way. The stress system is composed of a downhole and a surface unit. The downhole unit consists of hydraulic fracturing equipment (straddle packers and downhole imaging tool) and their associated data acquisition systems. The testing system is state of the art in several aspects including: (1) Large depth range (3 km), (2) Ability to test three borehole dimensions (N=76 mm, H=96 mm, and P=122 mm), (3) Resistivity imager maps the orientation of tested fracture; (4) Highly stiff and resistive to corrosion downhole testing equipment; and (5) Very detailed control on the injection flow rate and cumulative volume is obtained by a hydraulic injection pump with variable piston rate, and a highly sensitive flow-meter. At EGU General Assembly 2017, we would like to present this new and unique stress measurement system and some initial test results from a 1200 m long borehole in crystalline rock
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  • Bauer, Tobias (author)
  • VISUAL3D : an EIT network on visualization of geomodels
  • 2017
  • In: Geophysical Research Abstracts. - : European Geosciences Union (EGU). - 1029-7006 .- 1607-7962. ; 19
  • Journal article (other academic/artistic)abstract
    • When it comes to interpretation of data and understanding of deep geological structures and bodies at different scales then modelling tools and modelling experience is vital for deep exploration. Geomodelling provides a platform for integration of different types of data, including new kinds of information (e.g., new improved measuring methods). EIT Raw Materials, initiated by the EIT (European Institute of Innovation and Technology) and funded by the European Commission, is the largest and strongest consortium in the raw materials sector worldwide. The VI-SUAL3D network of infrastructure is an initiative by EIT Raw Materials and aims at bringing together partners with 3D-4D-visualisation infrastructure and 3D-4D-modelling experience. The recently formed network collaboration interlinks hardware, software and expert knowledge in modelling visualization and output. A special focus will be the linking of research, education and industry and integrating multi-disciplinary data and to visualize the data in three and four dimensions. By aiding network collaborations we aim at improving the combination of geomodels with differing file formats and data characteristics. This will create an increased competency in modelling visualization and the ability to interchange and communicate models more easily. By combining knowledge and experience in geomodelling with expertise in Virtual Reality visualization partners of EIT Raw Materials but also external parties will have the possibility to visualize, analyze and validate their geomodels in immersive VR-environments. The current network combines partners from universities, research institutes, geological surveys and industry with a strong background in geological 3D-modelling and 3D visualization and comprises: Lulea University of Technology, Geological Survey of Finland, Geological Survey of Denmark and Greenland, TUBA Freiberg, Uppsala University, Geological Survey of France, RWTH Aachen, DMT, KGHM Cuprum, Boliden, Montan Universitat Leoben, Slovenian National Building and Civil Engineering Institute, Tallinn University of Technology and Turku University. The infrastructure within the network comprises different types of capturing and visualization hardware, ranging from high resolution cubes, VR walls, VR goggle solutions, high resolution photogrammetry, UAVs, lidar-scanners, and many more.
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  • Result 1-10 of 37
Type of publication
conference paper (25)
journal article (10)
other publication (2)
Type of content
other academic/artistic (19)
peer-reviewed (18)
Author/Editor
Gustafsson, Mats (3)
Nordebo, Sven (3)
Olsson, Håkan (2)
Lindroth, Anders (2)
Hellström, Margareta (2)
Miller, Paul (2)
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Hickler, Thomas (2)
Lindberg, Eva (2)
Schmeling, Harro (2)
Kätterer, Thomas (2)
Olofsson, Bo (1)
Blarquez, Olivier (1)
Carcaillet, Christop ... (1)
Thornton, Brett (1)
Berndtsson, Ronny (1)
Persson, Kenneth M (1)
Holmgren, Johan (1)
Giesecke, Thomas (1)
Tjernström, Michael (1)
Weih, Martin (1)
Kirchmann, Holger (1)
Hammarlund, Dan (1)
Sonesten, Lars (1)
Börjesson, Gunnar (1)
Smith, Benjamin (1)
Schurgers, Guy (1)
Arneth, Almut (1)
Wang-Erlandsson, Lan (1)
Fetzer, Ingo (1)
Wetterlund, Elisabet ... (1)
Jarvis, Nicholas (1)
Ask, Maria (1)
Jacks, Gunnar (1)
Vico, Giulia (1)
Lehsten, Veiko (1)
Vajda, Vivi (1)
Manzoni, Stefano (1)
Molinari, Chiara (1)
Andréasson, Per-Gunn ... (1)
Conley, Daniel (1)
Sykes, Martin (1)
Humborg, Christoph (1)
Majka, Jaroslaw (1)
Hall, Per, 1954 (1)
Carstensen, Jacob (1)
Ågren, Göran (1)
Stigebrandt, Anders, ... (1)
Troll, Valentin R. (1)
Snowball, Ian (1)
Crill, Patrick (1)
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University
Swedish University of Agricultural Sciences (14)
Lund University (13)
Luleå University of Technology (4)
Uppsala University (3)
Linnaeus University (3)
Stockholm University (2)
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University of Gothenburg (1)
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Language
English (37)
Research subject (UKÄ/SCB)
Natural sciences (21)
Agricultural Sciences (12)
Engineering and Technology (7)
Social Sciences (1)

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