Norwegian Geotechnical Institute (NGI) Digital Archive
Not a member yet
1356 research outputs found
Sort by
How to avoid gas clogging in groundwater heat pump systems: a case study from the Lena terrasse system in Melhus, Norway
Get PDFpublishedVersio
First steps in the development of standardised processes for life cycle assessments of geotechnical works
Get PDFpublishedVersio
Influence of Depositional and Diagenetic Processes on Caprock Properties of CO2 Storage Sites in the Northern North Sea, Offshore Norway
Get PDFpublishedVersio
The revival of multiple pore pressure measurements in the cone penetration test
Get PDFpublishedVersio
Deliverable 1.1b Stress Drivers and Outline of Proposed Numerical Modelling Campaign
No full textA current synthesis of the understanding of the in situ stress state is presented for the Horda Platform, Endurance Structure and Greater Bunter sandstone area, Aramis, Lisa and Nini structures in the North Sea (section 2). Highlighted stress generation mechanisms include ridge push, sediment and progradational loading, continental margins, glacioeustatic adjustments, and uplift/erosion. Assessment of the relative importance of these mechanisms throughout the areas is displayed as a stress matrix (Table 2-1); which provides invaluable information for site characterisation. Following the assessment of relevant stress drivers, a proposal of relevant geomechanical models to encapsulate significant processes present at each site is presented in sections 3 and 4. Empirical laws and relevant rheological properties implemented in models are highlighted in section 3.2. Recent modifications to relevant rheologies are also considered, new for WP1. Three types of geomechanical forward models are proposed (A-C) (section 4) that explore stress in various dimensions and scales. Type A models explore the influence of mineralogy, stress translations at depth and loading/unloading processes in a uniaxial 1D model. Results can be calibrated to well data and provide estimates of minimum subsurface stress. Type B models involve regional 2D/3D modelling and provide a means for an investigation into the relative contributions of in situ stress along large-scale transects, as well as the analysis of spatial trends in the magnitude and orientations of stresses. Modelled stress outputs can also be compared to focal mechanism data to give insights as to the degree of coupling between thick and thin-skinned deformation. Type C (2D/3D) models explore site-specific contributions to stress variability from structures such as evaporite diapirs, stress field coupling and glacioeustatic responses of subsurface structures. Model results will provide insights into the evolution, in-situ state and potential risks linked to CO2 injection into the areas of interest. This provides invaluable information for other work packages as well as a general contribution to advancing CCS site characterisation.European CommissionpublishedVersio
A Decision Support System to Predict Acute Fish Toxicity
Get PDFWe present a decision support system using a Bayesian network to predict acute fish toxicity from multiple lines of evidence. Fish embryo toxicity testing has been proposed as an alternative to using juvenile or adult fish in acute toxicity testing for hazard assessments of chemicals. The European Chemicals Agency has recommended the development of a so-called weight-of-evidence approach for strengthening the evidence from fish embryo toxicity testing. While weight-of-evidence approaches in the ecotoxicology and ecological risk assessment community in the past have been largely qualitative, we have developed a Bayesian network for using fish embryo toxicity data in a quantitative approach. The system enables users to efficiently predict the potential toxicity of a chemical substance based on multiple types of evidence including physical and chemical properties, quantitative structure-activity relationships, toxicity to algae and daphnids, and fish gill cytotoxicity. The system is demonstrated on three chemical substances of different levels of toxicity. It is considered as a promising step towards a probabilistic weight-of-evidence approach to predict acute fish toxicity from fish embryo toxicity.publishedVersio