The choice of enhanced oil recovery (EOR) methods for specific reservoir conditions is one of the most difficult tasks for a reservoir engineer. Taber (Taber, 1980; Taber et al., 1997a,b) gave informative overview of EOR research history. He also offered technical screening guides for EOR nowadays known as Taber's tables. It should be noted that the approach recommended by Taber could not be taken as strong mathematical ranking of EOR methods. The authors propose an approach for EOR methods selection, based on fuzzy logic, possibility theory, and Bayesian inference mechanisms. Rankings were made by way of best EOR method selection for every criteria using fuzzy intervals comparison. Final correction of each EOR selection coefficient was performed by the generalized Bayesian inference mechanism. Application of this methodology for reservoir conditions of Alberta oil field, as well as the offshore field "Guneshli, " allowed for choosing the most effective EOR method, confirming the accuracy and feasibility of the proposed approach. Simple calculation (not more than five iterations) allows the automation of the process of selecting the most effective EOR method for a particular field.

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The article deals with the regulation of the rheophysical properties of multicomponent mixtures on the basis of the purposeful application of a new direction in science-rheotechnology. The data of rotoviscometry once again confirmed that the sequence of mixing the constituent components of the oil-water-sand mixture directly affects the rheology of the newly formed systems. The method of changing the order of entering the constituent components shows the prospects for increasing the efficiency of the processes of extraction, collection and transport of oils and their mixtures based on the creation of new rheological methods based on the regulation of the rheophysical properties of the heterophase systems under consideration. Keywords: constituent components of the mixture; rheology; structural viscosity; anomalous index; graph-analytical method.

Based on statistical analysis, a method of stage-by-stage structuring and allocation of the boundaries of the stages of oil field development is proposed. The procedures for calculating the remaining recoverable reserves and the time to reach the maximum level of current oil production are given. Based on the values of accumulated oil production at the final stage of development, using the adaptive Kalman filter, forecasts of oil production are constructed in discrete time and estimates of the possibility of achieving design indicators with the existing development system are given. Keywords: Stage-to-stage structuring; Development stages; Forecast of recoverable reserves; Predicted oil production; Kalman filter.

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