Print Email Facebook Twitter Sketch-based modelling with flow diagnostics: Prototyping geomodels for better resource modelling decisions Title Sketch-based modelling with flow diagnostics: Prototyping geomodels for better resource modelling decisions Author Jacquemyn, C. (Imperial College London) Hossain, S. (Imperial College London) Jackson, W.A. (Imperial College London) Alshakri, J. (Imperial College London) Hampson, G.J. (Imperial College London) Jackson, M.D. (Imperial College London) Petrovskyy, D. (Heriot-Watt University) Baird, K. (Heriot-Watt University) Geiger, S. (TU Delft Applied Geology; Heriot-Watt University) Date 2023 Abstract Sketch-based modelling with flow diagnostics provides a prototyping approach to quickly build geomodels and generate quantitative results to evaluate volumetrics and flow behaviour. This approach allows users to rapidly test the sensitivity of model outputs to different geological concepts and uncertain parameters, and informs selection of geological concepts, scales and resolutions to be investigated in more detailed models.Rapid Reservoir Modelling (RRM) is a sketch-based modelling tool with an intuitive interface that allows users to rapidly sketch geological models in 3D. Geological models that capture the essence of heterogeneity of interest and related uncertainty can be created within minutes. Flow diagnostics then instantly computes key indicators of predicted flow and storage behaviour within seconds.Here we apply the prototyping approach to three aspects of geoenergy modelling: (1) scenario screening to identify heterogeneities with the most impact; (2) use of mini-models and hierarchical models to derive effective properties; and (3) training of geoscientists and engineers to investigate the impact of geological interpretations on storage volumes and connectivity. Geomodels addressing all three aspects are constructed and analysed quickly, using simple, geologically intuitive workflows that do not require prior geomodelling expertise. To reference this document use: http://resolver.tudelft.nl/uuid:6349249a-077c-4a64-8888-e99b7bdc1d02 DOI https://doi.org/10.3997/2214-4609.202310542 Event 84th EAGE ANNUAL Conference and Exhibition 2023, 2023-06-05 → 2023-06-08, Vienna, Austria Part of collection Institutional Repository Document type conference paper Rights © 2023 C. Jacquemyn, S. Hossain, W.A. Jackson, J. Alshakri, G.J. Hampson, M.D. Jackson, D. Petrovskyy, K. Baird, S. Geiger, More Authors Files PDF 542.pdf 703.59 KB Close viewer /islandora/object/uuid:6349249a-077c-4a64-8888-e99b7bdc1d02/datastream/OBJ/view