Abstract
The efficiency issue of energy systems in the oil and gas industry is a crucial factor nowadays. Energy share in the production costs of oil and gas can reach 50%. Among the most important energy equipment are the electric drives of the pumps, compressors, auxiliary units, etc. The paper considered the lifecycle of the electric drives used at oil and gas fields and evaluated their efficiency parameters during periods of operational wear or malfunctioning. At the same time, the lifecycle of the energy equipment was seen as its technical state during operation. Based on the spectral analysis of the current using the finite Fourier transform (FFT), the main frequency components were identified that characterize the type and level of malfunction, taking into account defined efficiency indicators of the electric drive. A technique for assessing the technical state of an electric drive was proposed based on the normalized levels of the amplitudes of the frequency components. Predictive management of the electric drive was implemented in terms of correcting the control system when a malfunction occurs, providing the required efficiency indicators. Boundaries for the technical state of the electric drive were determined. Recommendations for further operation, terms of maintenance and repair or preventive management were presented.
Highlights
Prospects for the development of enterprises in the fuel, energy and mineral resources industries in the context of growing economic, environmental and technical requirements are associated with an increase in the efficiency of electromechanical equipment
Safe functioning of enterprises in the petroleum industry directly depends on the qualitative and quantitative indicators associated with economic efficiency
It is expressed in the cost of carrying out work on diagnostics and monitoring and the operation of electromechanical equipment, which includes a set of measures aimed at improving diagnostic systems
Summary
Prospects for the development of enterprises in the fuel, energy and mineral resources industries in the context of growing economic, environmental and technical requirements are associated with an increase in the efficiency of electromechanical equipment. Such devices, including electric motors and electric drives (ED), account for up to 85% [1,2,3] of electricity consumption and are the main production unit in automated and robotic systems. Detection of defects at the stage of their origin and development without preemptive action leads to their active growth and impact on the associated units of electromechanical equipment with subsequent economic damage to the enterprise [6,7]
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