Estimation of hydrocarbon reserves bound on stochastic 3D models using controlled data reduction method and technology of distributed computing

Authors: M.B. Shinkarev, M.V. Semukhin, R.V. Storozhev (TNNC LLC, RF, Tyumen)

Key words: estimation of reserves, stochastic modeling, volumetric method of reserves estimation, 3D-modelling, controlled data reduction, distributed computing.

The problem of reservoir estimation on stochastic geology models is a pressing challenge, but standard methods are not defined yet. The article describes a method allowing to estimate bounds and most probable values of hydrocarbon reserves by means of multirealzation 3D models and distributed computing. The article provides results of computing experiment performed on the base of suggested method.

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