This article focuses on selection justification of the application field of new artificial lift method in "inefficient" ranges of operating parameters of wells equipped with SRP and ESP. The deviation of the average value of the comparison parameter within a several range fr om the average value of the operation parameter is taken as a performance criterion. If the deviation exceeds average values the operation mode considers to be effective within this range of operational parameter, if the deviation is lower than average values it (operation mode) considers to be inefficient. Inefficient ranges of parameters are recommended for replacement of operation mode. The ranking of operational parameters is estimated by its influence on comparison criterion. The increase in the average mean time between failures and/or NPV comparing with mean time between failures and NPV of traditional operational methods within inefficient ranges is recommended as success criterion of operational method replacement. Regression equations are offered for evaluation of NPV growth due to the alteration of operation mode.
As comparison criteria are chosen two rates: mean time between failures and feed coefficient, herewith feed coefficient is calculated using the following formula: the actual pump output divided by its nominal value. As the influential factors we selected nine operating parameters, which are divided into ranges. The limits of ranges are selected considering maximum and minimum values of the stack of wells parameters, and prospective operational significance of the length of the ranges of parameters. The low-debit stack of well of one Rosneft’s subsidiaries with constant duty is considered (the number of Failures of SRPS -12400 pcs and ECP -1500 pcs). Immature failure of pumping outfit (before 30 days) and significant failure interval (more than 1000 days) are excluded from the analysis because they do not reflect the characteristics of the system. Average values of mean time between failures and average values of the coefficient for each range of operational parameters, average values of these parameters for the entire parameter are estimated.
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