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Big Pressure - Hybrid modellering med bruk av maskinlæring for å kunne forutsi overtrykk og boreholsstabilitet

Publikasjoner


Utvalgte publikasjoner

  • Borge, H. 2000: Fault controlled pressure modelling in sedimentary basins. Dep. of Math. Sciences. Trondheim, NTNU, 156.
  • Dupuy B. and Romdhane A. 2017: Pore pressure prediction from seismic velocities: a novel approach based on Skempton and Biot theories, First EAGE Workshop on Pore Pressure Prediction, Pau (France).
  • Dupuy B., Romdhane A., Eliasson P., Querendez E., Yan H., Torres V. and Ghaderi, A. 2017: Quantitative seismic characterisation of CO2 at the Sleipner storage site, North Sea, Interpretation, Vol. 5, No. 4, SS23-SS42.
  • Fjær, E., R. M. Holt, O.-M. Nes and Sønstebø. E. F. 2002: Mud Chemistry Effects on Time-Delayed Borehole Stability Problems in Shales. Proceedings of the SPE/ISRM Rock Mechanics in Petroleum Engineering Conference, 118-124.
  • Lothe, A.E., Grøver, A., Roli, O.-A., Stenebråten, J., Kristiansen, T.G. 2023: Simulations of the effect of smectite-to-illite transition in shales on permeability and overpressures using a stochastic approach, a Norwegian margin case study. Basin Research,  https://doi.org/10.1111/bre.12815 
  • Lothe, A.E., Grøver, A. , Roli, O.A., Stenebråten, J. & Kristiansen, T.G. 2022: Upscaling of shale permeabilities from lab to basin scale 3D pressure modelling using a stochastic approach. 6th International Workshop on Rock Physics 13 – 16 June 2022, A Coruña, Spania. 
  • Lothe, A.E., Grøver, Roli, O.-A. 2022: Geo-Pressure prediction in and below chalk; stochastic permeability variations in 3D simulations, Central Graben North Sea Ane Lothe, Arnt Grøver & Ole-Andre Roli, SINTEF Industry, Trondheim, Norway. 83rd EAGE Annual Conference and Exhibition, June, Madrid. 
  • Lothe, A.E., Grøver, A., Roli, O.-A., Kristiansen, T.G. 2020: Stochastic Monte-Carlo simulations of the effect of smectite-illite transformation in shales on pore pressures build up. Conference Proceedings, Third EAGE Workshop on Pore Pressure Prediction, Dec 2020, Vol. 2020, p.1 - 5 
  • Lothe, A.E., Cerasi, P., Aghito, M. 2020: Digitized uncertainty handling of pore pressure and mud-weight window ahead of bit: North Sea Example. SPE-189665-PA, SPE Journal, 25, 02, 529-540 
  • Lothe, A.E., Grøver, A., Roli, O.-A., Cerasi, P., Skogestad, J.O., Kristiansen, T.G., Bauer, A. and Boukili, M., 2020b: Pilot field trial of real-time pore pressure and well stability updates in a digital twin coupling. Third EAGE Workshop on Pore Pressure Prediction, 6-7 December, Amsterdam, the Netherlands, extended abstract. 
  • Lothe, A. E., 2004: Simulations of hydraulic fracturing and leakage in sedimentary basins, Ph.D. thesis, UiB, 18che p
  • Lothe, A. E., Borge, H. and Gabrielsen, R. H., 2004: Modelling of hydraulic leakage by pressure and stress simulations: An example from the Halten Terrace area, offshore Mid-Norway. Petroleum Geoscience 10(3), 199-213.
  • Robinson, H., Pawar, S., Rasheed, A., San, O., 2022: Physics guided neural networks for modelling of non-linear dynamics, Neural Networks, 154, 333-345.
  • Nes, O.-M., R. Boe, E. F. Sonstebo, K. Gran, S. Wold, A. Saasen and Fjogstad, A., 2012: Borehole Instability in Tertiary Shales in the Norwegian North Sea. SPE Deepwater Drilling and Completions Conference 2012, pp. 271-287.
  • Paglia, J., Eidsvik, J, Grøver, A. and Lothe, A. 2018: Statistical modeling for real time pore pressure prediction from pre-drill analysis and well logs, Geophysics, 84 (2), ID1-ID12.
  • Paglia, J., Eidsvik, J. and Cerasi, P. 2020: Workflow for Sensitivity Analysis and Decision Making on the Lower Limit of the Mud-Weight Window in an Overpressured Formation, SPE Journal, 25 (06), 3017-3030.