Evaluation of efficiency of purification of reservoir waters from emulsified oil products using a system of magnetic particles and magnetic fields

Автор: Lyutoev A.A., Smirnov Yu.G., Lyutoeva E.A.

Журнал: Известия Коми научного центра УрО РАН @izvestia-komisc

Рубрика: Технические науки

Статья в выпуске: 1 (25), 2016 года.

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The method of purification of reservoir waters from the emulsified oil products with the aid of magnetic magnetite particles and magnetic field is considered. The analysis of the system is made and control parameters are highlighted. Evaluation of the effectiveness of the method used is performed by two criteria: improving the purity and increasing the rate of cleaning by choosing optimal concentrations of magnetic particles.To evaluate the effectiveness according to the first criterion (cleaning quality) a series of experiments of cleaning reservoir waters of Yarega and Nizhnechutinsky fields was conducted. Experiments were conducted with various sizes of magnetite particles obtained by grinding and condensation. Evaluation of the rate of purification was tied to optimum concentration of magnetic particles so as not to use their excessive amount. For this purpose a mathematical model was constructed determining the optimum concentration of use of a monodisperse system of magnetic particles in the purification from emulsified oil products.Combining the data obtained, the algorithm for estimating the objective function according to specified efficiency criteria is set. The importance of the efficiency criteria is determined by the coefficients K 1 and K 2. Depending on the quality requirements of purification of reservoir waters, the developed program allows to evaluate the significance of the coefficients to the relevant efficiency criteria and to determine the optimal concentration for the system of magnetic particles used.

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Magnetic particles, oil emulsion, parameters of the system, efficiency of purification, criteria of evaluation

Короткий адрес: https://sciup.org/14992811

IDR: 14992811

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