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Accueil Tous les numéros Volume 73 (2018) Oil & Gas Science and Technology - Rev. IFP Energies nouvelles, 73 (2018) 68 Références
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Numéro
Oil & Gas Science and Technology - Rev. IFP Energies nouvelles
Volume 73, 2018
Numéro d'article 68
Nombre de pages 16
DOI https://doi.org/10.2516/ogst/2018065
Publié en ligne 3 décembre 2018
  • Almeida F., Davolio A., Schiozer D. (2014) A New Approach to Perform a Probabilistic and Multi-Objective History Matching, SPE-170623-MS, SPE Annual Technical Conference and Exhibition, 27–29 October. [Google Scholar]
  • Avansi D., Schiozer D. (2015) UNISIM-I: synthetic model for reservoir development and management applications, Int. J. Model. Simul. Pet. Ind. 9, 21–30. [Google Scholar]
  • Caeiro M., Demyanov V., Soares A. (2014) Multi-objective History Matching of a Deltaic Reservoir with Non-Stationary Geostatistical Modelling, European Conference on the Mathematics of Oil Reservoir. [Google Scholar]
  • Christie M., Eydinov D., Demyanov V., Talbot J., Arnold D., Shelkov V. (2013) Multi-Objective Algorithms in History Matching of a Real Field, Matching of a Real Field, SPE 163580-MS. [Google Scholar]
  • Deutsch C. (2002) Geostatistical Reservoir Modeling, Applied Geostatistics Series, Oxford University Press, p. 376. [Google Scholar]
  • Ding D.Y., Roggero F. (2010) History matching geostatistical model realizations using a geometrical domain based parameterization technique, Math. Geosci. 42, 4, 413–432. [Google Scholar]
  • Gervais-Couplet V., Le Ravalec M. (2018) Identifying influence areas with connectivity analysis – application to the local perturbation of heterogeneity distribution for history matching, Comput Geosci 22, 3–28, doi: https://doi.org/10.1007/s10596-017-9663-y. [Google Scholar]
  • Gervais-Couplet V., Gautier Y., Ravalec-Dupin L., Roggero F. (2007) History Matching Using Local Gradual Deformation, SPE-107173, EUROPEC/EAGE Conference and Exhibition. [Google Scholar]
  • Hajizadeh Y., Christie M., Demyanov V. (2011) Towards multiobjective history matching: Faster convergence and uncertainty quantification. SPE 141111. [Google Scholar]
  • Hoffman B. (2005) Geologically consistent history matching while perturbing facies, PhD Dissertation, Stanford University. [Google Scholar]
  • Hoffman B., Caers J. (2003) Geostatistical history matching using a regional probability perturbation method, SPE 84409-MS, SPE Annual Technical Conference and Exhibition, 5–8 October. [Google Scholar]
  • Hoffman B., Caers J. (2005) Regional Probability perturbation for history matching, J. Petrol. Sci. Eng. 46 (1–2), 53–71. [CrossRef] [Google Scholar]
  • Hu L.Y. (2000) Gradual deformation and iterative calibration of Gaussian-related stochastic models, Math. Geol. 32, 1, 87–108. [Google Scholar]
  • Hutahaean J., Demyanov V., Christie M. (2015) Impact of model parameterization and objective choices on assisted history matching and reservoir forecasting, SPE 176389-MS, SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, 20–22 October. [Google Scholar]
  • Journel A.G., Alabert F.G. (1990) New method for reservoir mapping, J. Petrol. Technol. 42, 212–218. [CrossRef] [Google Scholar]
  • Mata-Lima H., Soares A. (2007) Geostatistical history matching with direct sequential transformation of images. Petrol. Geostat.. http://earthdoc.eage.org/publication/publicationdetails/?publication=7865 [Google Scholar]
  • Mata-Lima H. (2008) Reservoir characterization with iterative direct sequential co-simulation: integrating fluid dynamic data into stochastic model, J. Petrol. Sci. Eng., Elsevier Science 63, 3–4, 59–72. [CrossRef] [Google Scholar]
  • Mesquita F., Davolio A., Schiozer D. (2015) A systematic approach to uncertainty reduction with a probabilistic and multi-objective history matching, SPE-174359-MS, EUROPEC 2015, 1–4 June. [Google Scholar]
  • Oliveira G.S. (2014) Integração da Modelagem Geostatística com o Processo de Ajuste de Histórico. Master Degree Thesis, Instituto Superior Técnico, Lisboa. [Google Scholar]
  • Oliveira G., Schiozer D.J., Maschio C. (2017a) History matching by integrating regional multi-property image perturbation methods with a multivariate sensitivity analysis, J. Petrol. Sci. Eng. 153, 111–122, doi: http://dx.doi.org/10.1016/j.petrol.2017.03.031. [CrossRef] [Google Scholar]
  • Oliveira G., Soares A., Schiozer D., Maschio C. (2017b) Reducing uncertainty in reservoir parameters combining history matching and conditioned geostatistical realization, J. Petrol. Sci. Eng. 156, 75–90, doi: https://dx.doi.org/10.1016/j.petrol.2017.05.003. [CrossRef] [Google Scholar]
  • Roggero F., Hu L.Y. (1998) Gradual deformation of continuous geostatistical models for history matching, Paper SPE 49004, SPE Annual Technical Conference and Exhibition. [Google Scholar]
  • Schulze-Riegert R., Kroschem M. (2007) Multiobjective optimization with application to model validation and uncertainty quantification, SPE 105313, SPE Middle East Oil and Gas Show and Conference, 11–14 March. [Google Scholar]
  • Yamamoto J., Landim P. (2013) Geostatística: conceitos e aplicações, Oficina de Textos, p. 215. ISBN 978-85-7975-077-9. [Google Scholar]

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