Improving the efficiency of oil production through the introduction of digitalization

UDK: 622.276.5.05-5
DOI: 10.24887/0028-2448-2021-7-118-124
Key words: smart well, smart field, virtual flow meter, reduction of operating costs, smart digital twin, degradation of performance characteristics, system of predictive analysis of the operation of downhole pumping units
Authors: V.N. Ivanovskiy (Gubkin University, RF, Moscow), A.A. Sabirov (Gubkin University, RF, Moscow), A.V. Degovtsov (Gubkin University, RF, Moscow), I.N. Gerasimov (Gubkin University, RF, Moscow), I.I. Mazein (LUKOIL-PERM LLC, RF, Perm), S.V. Merkushev (LUKOIL-PERM LLC, RF, Perm), D.N. Krasnoborov (LUKOIL-PERM LLC, RF, Perm)

The intensification of oil production is accompanied by complicated well operation conditions. The most widespread problem in the operation of ESP today are mechanical impurities, salt deposits, corrosion, free gas, complex inclinometry, asphalt-resin-paraffin deposits, high-viscosity oil emulsions. To ensure the efficiency of oil production in these conditions, it is necessary to use modern smart field systems, develop and apply clear recommendations on the design and technology of using well equipment. These recommendations should be based on the rapid determination of all operating parameters of the formation - well - pumping unit system, first of all-the flow rate of wells. Rapid and accurate determination of the well flow rate in the on-line mode allows to increase oil production, reduce operating costs of electricity and chemical regents, and optimize field development. The use of flow rate values in the on-line mode also provides progress in the creation of digital twins of digital well elements due to the operation of algorithms for determining the degradation of the performance characteristics of well pumping units. All this leads to the possibility of creating a system of predictive analysis of the operation of electric drive vane pumps for oil production, the main purpose of which is to determine the physical and probabilistic time to failure of equipment under complicated operating conditions. The results of theoretical and experimental studies in the development of new designs and technologies should be based on the collection, processing, analysis of field data and data on the operation of oil well production equipment.


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