The reservoir modelling task occupies most of the reservoir modeller daily routine. The key challenge faced by the reservoir modeller has shifted from the ability to build A reservoir model to building THE right reservoir model. The concept of right modelling responds to the challenge of building more predictive reservoir model by using a structured methodology to use the static modelling tool in a more efficient fashion. Complexities are introduced in the model only when required and supported by hard data. A set of guidelines, covering the overall workflow, are established for the principal reservoir modelling tasks. By following the guidelines, the reservoir modeller can handpick the best modelling strategy to ensure that the reservoir is modelled at the right level. Following the right modelling concept minimizes the risks of under modelling (not tackling the technical need in a robust way) or over modelling (losing the technical relevance by being too narrow) the reservoir.
Number of Pages
Cosentino, L. 2010. Integrated Reservoir Studies, Institut Français du Pétrole Publications. Paris. Edition Technip, page 8.
Lazar, R. 2015, The Static Modelling Tool in the Development of Carbonate Fields: Uses and Challenges, APGCE, Kuala Lumpur, Malaysia, 12 - 13 October 2015, 26141.
Ma, Y. Z. 2011. Uncertainty analysis in reservoir characterization and management: How much should we know about what we don’t know?, in Y. Z. Ma and P. R. La Pointe, eds., Uncertainty analysis and reservoir modeling: AAPG Memoir 96, p. 1–15
MacDonald, A., Zhang, K., Tollefsrud, J. I.. Introduction to Reservoir Uncertainty Modelling, Frontiers + Innovation, CSPG CSEG CWLS Convention, Calgary, Canada, 2009, 802-805.
Matheron, G. 1967. Kriging or Polynomial Interpolation Procedures?. Canadian Min. Metall. Bull., Sept. 1967.
Ringrose, P. and Bentley, M. 2015. Reservoir Model Design: A Practitioner's Guide. Springer
Saleri, N.G. 1998. Re-Engineering Simulation: Managing Complexity and Complexification in reservoir projects. SPE-REE.
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