1887
Volume 41, Issue 6
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397
Preview this article:

There is no abstract available.

Loading

Article metrics loading...

/content/journals/10.3997/1365-2397.fb2023045
2023-06-01
2024-04-24
Loading full text...

Full text loading...

References

  1. Aliyuda, K., Howell, J. and Humphrey, E. [2020]. Impact of geological variables in controlling oil-reservoir performance: An insight from a machine-learning technique.SPE Reservoir Evaluation and Engineering, 23, 1314–1327. https://doi.org/10.2118/201196-PA.
    [Google Scholar]
  2. Bachu, S., Bonijoly, D., Bradshaw, J., Burruss, R., Holloway, S., Christensen, N.P. and Mathiassen, O.M. [2007]. CO2 storage capacity estimation: Methodology and gaps.International Journal of Greenhouse Gas Control, 1, 430–443. https://doi.org/10.1016/S1750-5836(07)00086-2.
    [Google Scholar]
  3. Berget, E.F. [2020]. Redevelopment Projects on the NCS: A Statistical Analysis of the Norwegian Petroleum Industry’s Ability to Generate Unbiased Production Forecasts. Master’s Thesis, University of Stavanger, https://uis.brage.unit.no/uis-xmlui/handle/11250/2688390.
    [Google Scholar]
  4. Davies, A., Cowliff, L. and Simmons, M.D. [2023]. A method for fine-scale vertical heterogeneity quantification from well data and its application to siliciclastic reservoirs of the UKCS.Marine and Petroleum Geology, 149, 106077. https://doi.org/10.1016/j.marpet-geo.2022.106077.
    [Google Scholar]
  5. Davies, A., Kozlowski, E., Bou Daher, S., Uren, A. and Gravestock, C. [2022]. Use of an integrated earth model for the rapid determination of boundary conditions. AAPG Geological Process-Based Forward Modeling GTW. Abu Dhabi.
    [Google Scholar]
  6. Davies, A. and Simmons, M.D. [2021]. Demand for ‘advantaged’ hydrocarbons during the 21st century Energy Transition.Energy Reports, 7, 4483–4497. https://doi.org/10.1016/j.egyr.2021.07.013.
    [Google Scholar]
  7. Davies, A. and Simmons, M.D. [2022]. The Role of Hydrocarbons in the Energy Transition.AAPG Explorer, August 2022, 20–21.
    [Google Scholar]
  8. de Jager, J. [2021]. Handbook: Risk and Volume Assessment. De Jager Geological Consulting, 124pp.
    [Google Scholar]
  9. Granjeon, D. and Joseph, P. [1999]. Concepts and applications of a 3-D multi-lithology, diffusive model in stratigraphic modelling. In: Harbaugh, J.W., Watney, W.L., Rankey, Slingerland, R., Goldstein, R.H. and Franseen, E.K. (Eds.), Numerical experiments in stratigraphy: Recent advances in stratigraphic and sedimentologic computer simulation, SEPM Special Publication, 62, 197–210.
    [Google Scholar]
  10. Gravestock, C., Jennings, J. and Simmons, M. [2022]. Estimating saline aquifer CO2 storage resource in data lean regions.EAGE GET 2022 Extended Abstracts, https://doi.org/10.3997/2214-4609.202221034.
    [Google Scholar]
  11. Gray, E., Hartley, A., and Howell, J. [2020]. The influence of stratigraphy and facies distribution on reservoir quality and production performance in the Triassic Skagerrak Formation of the UK and Norwegian Central North Sea. In: Patruno, S., Archer, S.G., Chiarella, D., Howell, J.A., Jackson, C. A.-L. and Kombrink, H. (Eds.), Cross-border themes in petroleum geology I: The North Sea. Geological Society, London, Special Publications, 494(1), 379–409. https://doi.org/10.1144/SP494-2019-68.
    [Google Scholar]
  12. Harper, F.G. [2000]. Prediction accuracy in petroleum prospect assessment: A 15-year retrospective in BP.Norwegian Petroleum Society Special Publications, 9, 15–21. https://doi.org/10.1016/S0928-8937(00)80005-3.
    [Google Scholar]
  13. Haszeldine, R. S., Flude, S., Johnson, G. and Scott, V. [2018]. Negative emissions technologies and carbon capture and storage to achieve the Paris agreement commitments.Philosophical Transactions of the Royal Society, A: Mathematical, Physical and Engineering Sciences, 376, 20160447. http://dx.doi.org/10.1098/rsta.2016.0447.
    [Google Scholar]
  14. Howell, J.A., Martinius, A.W. and Good, T.R. [2014]. The application of outcrop analogues in geological modelling: a review, present status and future outlook.Geological Society, London, Special Publications, 387, 1–25. https://doi.org/10.1144/SP387.12.
    [Google Scholar]
  15. IEA [2020]. The Oil and Gas Industry in Energy Transitions. International Energy Agency, Paris, https://www.iea.org/reports/ccus-in-clean-energy-transitions.
    [Google Scholar]
  16. IPIECA [2020]. Sustainability reporting guidance for the oil and gas industry, 4th edition. IOGP Report 437. IPIECA, https://www.ipieca.org/media/5115/ipieca_sustainability-guide-2020.pdf.
    [Google Scholar]
  17. Lloyd, C., Huuse, M., Barrett, B.J. and Newton, A.M.W. [2021]. Regional exploration and characterisation of CO2 storage prospects in the Utsira-Skade Aquifer, North Viking Graben, North Sea.Earth Science, Systems and Society, 1, 10041. http://doi.org/10.3389/esss.2021.10041.
    [Google Scholar]
  18. Milkov, A.V. and Navidi, W.C. [2020]. Randomness, serendipity, and luck in petroleum exploration.AAPG Bulletin, 104, 145–176. https://doi.org/10.1306/05061918128.
    [Google Scholar]
  19. NPD (Norwegian Petroleum Directorate) [2018]. Resource Report 2018 Exploration.https://www.npd.no/en/facts/publications/reports/resource-report/resource-report-2018/
    [Google Scholar]
  20. OGCI [2020]. Delivering on a low carbon future: A progress report from the oil and gas climate initiative.OGCI, 1–24, https://www.ogci.com/wpcontent/uploads/2020/12/OGCI-Progress-Report-2020.pdf..
    [Google Scholar]
  21. Paola, C. [2000]. Quantitative models of sedimentary basin filling.Sedimentology, 47 (Suppl. 1), 121–178. https://doi.org/10.1046/j.1365-3091.2000.00006.x.
    [Google Scholar]
  22. Pourmalek, A., Newell, A.J., Shariatipour, S.M. and Wood, A.M. [2022]. The impact of heterogeneous mixed siliciclastic–carbonate systems on CO2 geological storage.Petroleum Geoscience, 28, https://doi.org/10.1144/petgeo2020-086.
    [Google Scholar]
  23. Pyrcz, M.J. and Deutsch, C.V. (Eds.), [2014]. Geostatistical Reservoir Modeling, Second Edition, Oxford University Press, Oxford.
    [Google Scholar]
  24. Quirk, D.G., Archer, S.G., Keith, G., Herrington, P., Ramirez, A.O. and Bjørheim, M. [2018]. Can oil and gas exploration deliver on prediction?First Break, 36, 83–88. https://doi.org/10.3997/1365-2397.n0130.
    [Google Scholar]
  25. Quirk, D.G., Underhill, J.R., Gluyas, J.G., Howe, M.J., Wilson, H.A. and Anderson, S. [2022]. A low-carbon future for the North Sea Basin.Geological Society, London, Special Publications, 494(1), 197–213. https://doi.org/10.1144/SP494-2020-236
    [Google Scholar]
  26. Reynolds, A.D., Simmons, M.D., Bowman, M.B., Henton, J., Brayshaw, A.C., Ali-Zade, A.A., Guliyev, I.S., Suleymanova, S.F., Ateava, E.Z., Mamedova, D.N. and Koshkarly, O. [1998]. Implications of outcrop geology for reservoirs in the Neogene Productive Series: Apsheron Peninsula, Azerbaijan.AAPG Bulletin, 82, 25–49. https://doi.org/10.1306/1D9BC38B-172D-11D7-8645000102C1865D.
    [Google Scholar]
  27. Ringrose, P. [2020]. How to store CO2 underground: Insights from early-mover CCS projects. Springer. ISBN: 978-3-030-33113-9.
    [Google Scholar]
  28. Ringrose, P. and Bentley, M. [2015]. Reservoir Model Design. Springer Netherlands, Dordrecht. https://doi.org/10.1007/978-94-007-5497-3.
    [Google Scholar]
  29. Smil, V. [2016]. Examining Energy Transitions: A dozen insights based on performance.Energy Research & Social Science, 22, 194–197. http://dx.doi.org/10.1016/j.erss.2016.08.017.
    [Google Scholar]
  30. The Royal Society [2022]. Locked Away — Geological carbon storage policy briefing. http://royalsociety.org/geological-carbon-storage.
    [Google Scholar]
  31. Tischuk, A. and Latham, A. [2021]. The Hunt for Advantaged Oil. Wood Mackenzie, https:/www.woodmac.com/news/opinion/the-hunt-for-advantaged-oil.
    [Google Scholar]
  32. Trevisan, L., Krishnamurthy, P.G. and Meckel, T.A. [2017]. Impact of 3D capillary heterogeneity and bedform architecture at the sub-meter scale on CO2 saturation for buoyant flow in clastic aquifers.International Journal of Greenhouse Gas Control, 56, 237–249. https://doi.org/10.1016/j.ijggc.2016.12.001.
    [Google Scholar]
  33. Van der Kraan, V. [2020]. Hydrocarbon volume prediction performance in the Dutch subsurface and the impact of selection bias. Master’s Thesis, University of Utrecht.
    [Google Scholar]
  34. Volchko, Y., Norrman, J., Ericsson, L.O., Nilsson, K.L., Markstedt, A., Öberg, M., Mossmark, F., Bobylev, N. and Tengborg, P. [2019]. Subsurface planning: Towards a common understanding of the subsurface as a multifunctional resource.Land Use Policy, 90, 104316, https://doi.org/10.1016/j.landusepol.2019.104316.
    [Google Scholar]
  35. Wells, M., Bowman, A., Kostic, B., Campion, N., Finucane, D., Santos, C., Kitching, D. and Brown, R. [2019]. Lower Cretaceous deltaic deposits of the main pay reservoir, Zubair Formation, Southeast Iraq: depositional controls on reservoir performance.AAPG Memoir, 116, 219–260. https://doi.org/10.1306/13642170M1183802.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.3997/1365-2397.fb2023045
Loading
/content/journals/10.3997/1365-2397.fb2023045
Loading

Data & Media loading...

  • Article Type: Research Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error