Abstract
Background The technological processes of the oil and gas industry are characterized by high energy intensity. Pumps are the prevailing technological electric drive equipment. The operation of the waterflooding system, along with the well equipment of mechanized oil production, determines mainly the efficiency of the development of oil and gas fields, the share of electricity for the operation of the waterflooding system at the late stage of development can reach 30 % of the total energy balance of the oil field. Aims and Objectives Study the questions of development of a hierarchy in the structure of consumption of electric energy in the system of maintaining pressure in productive reservoirs of deposits. Ranking the places of occurrence of energy costs in the waterflooding system, taking into account additional criteria will allow to optimize the flow of investments for the implementation of energy efficiency improvement measures. Methods The structure of the energy balance of the field is developed on the basis of data bases of technological parameters of exploitation of the oil field for 5 years. The multicriterial problem of vector optimization of the subsystem ranking has been formulated, a 4-dimensional space of particular features for 7 subsystems of the reservoir pressure maintenance system has been developed. At the preliminary stage of ranking the subsystems, a method of forming the Pareto set is used. The restriction of the Pareto set is realized by an additive convolution, the validity of which is proved by the homogeneity of particular characteristics. Results On the example of one of the deposits of the Republic of Sakha, the energy structure of the oil flooding system is developed. The shares of electric power consumption for overcoming the hydraulic resistance of all links in the system of ground and underground infrastructure and energy losses in pumps are determined. The systematization of the internal links of the subsystems determined the multi-level hierarchical appearance of the structure of the waterflooding system. A set of Pareto-optimal subsystems is formed on the basis of the 4-dimensional vector of particular features. As a result of the scalarization of the vector of quotients, the subsystems of the waterflooding system are ranked.
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