Mathematical Prediction Model for Base Oil Production with Account of Uncertainties Based on the Method of Displacement Characteristics

Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy


Release:

2016, Vol. 2. №1

Title: 
Mathematical Prediction Model for Base Oil Production with Account of Uncertainties Based on the Method of Displacement Characteristics


About the author:

Sergey V. Sokolov, Cand. Sci. (Tech.), Senior Expert, Tyumen Petroleum Research Center; svsokolov2@tnnc.rosneft.ru

Abstract:

Following the development of ideas on predicting oil production profiles with the account of uncertainties, the current paper discusses theoretical and practical aspects of the implementation of a probabilistic model for the deposits in a peak development stage. The suggested model is based on the method of displacement characteristics, which proved its worth in designing, analysis, and simulation of oil field development. The working efficiency of the suggested probabilistic model is demonstrated on the development parameters of an actual field.

References:

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