In this research, we propose a new methodology for evaluation of recall factor in reservoir analogues identification problem. This factor provides the information about completeness of parameters set in order to identify ensemble of reservoirs. There could be various goals of analogues identification: geological similarity, PVT, production or something else. That is why it is important to know the precise volume of information, which should be provided. In this report data analysis techniques are performed for identification the essential set of parameters and providing the recall factor.


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  1. TrevorHastie, RobertTibshirani, JeromeFriedman
    (2008) The Elements of Statistical Learning. Springer.
    [Google Scholar]
  2. J.C.Gower
    (1971). A general coefficient of similarity and some of its properties. Biometrics, Vol 27, No.4. pp.857–871.
    [Google Scholar]
  3. H.Martin Rodrigues, E.Escobar, SEmbid, N.Rodrigues and M.Hegazy, Repsol, and W.Lake
    , SPE, The University of Texas at Austin (2013) New Approach to identify analogue reservoirs. SPE 166449
    [Google Scholar]
  4. M.L.Perez-Valiente, H.Martin Rodrigues, Repsol; C.N.Santos, M.R.Vieira
    , IBM Research, and S.M.Embid, Repsol. (2014) Identification of Reservoir analogues in the presence of Uncertainty. SPE-167811-MS
    [Google Scholar]

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