DEVELOPMENT OF INTELLIGENT ALGORITHMS FOR CONTROLLING PERIPHERAL TECHNOLOGICAL EQUIPMENT OF THE WELL CLUSTER USING A SINGLE CONTROL STATION

Abstract

The relevance of the study lies in the need to improve the energy efficiency of oil production in fields that are in the late stages of development. The essence of the work lies in the integration of peripheral oilfield equipment, including metering units, sediment control devices, into a single system with wells – an intelligent control station. Currently, the dynamics of well operation does not affect the operation parameters of these units. When they are integrated into the system and the corresponding algorithms are written, it is possible to increase the energy efficiency of oil production, reduce the cost of well maintenance and, in the future, intellectualize their work. Purpose: to determine the control algorithms for peripheral equipment, the operation of which can be optimized based on the dynamics of changes in the parameters of the operation of an oil well. Methods: hydraulic modeling of a well cluster operation, numerical determination of a well pressure characteristic, review of scientific sources and analysis of parameters for combating organic deposits. Results. The paper introduces the scenarios for optimizing the operation of oil wells when integrating peripheral devices into an intelligent control station. Thus, the integration of a wellhead reagent supply unit, a tubing string cleaning device or a heating cable control station, upon identification of the formation of paraffin deposits, can change the operating mode, which will allow optimizing the processes of controlling deposits and increasing the cleanup period of the well. Calculation of the change in wellhead pressure, with a significant short-term change in the flow rate of one or several wells, will allow changing the diameter of the choke in the well, which will save the intersection point of the pressure characteristic of the well and the characteristics of the electric submersible pump. According to the technological calculation, this will avoid unstable operation of the pump and maintain the optimal value of the efficiency factor, the drop of which can exceed 2 %. The third algorithm describes a way to reduce the cost of engineering and technical personnel for well maintenance when receiving substandard production data. When they are received, it is proposed to launch an algorithm for estimating the well flow rate based on indirect data – the «Virtual Flow Meter» technology. Based on the results of the check, the system will automatically start a re-measurement or inform the engineering and technical staff about violations in the operation of the downhole pumping equipment. Conclusions. The resulting algorithms can be integrated into control stations. This will optimize the operation of downhole pumping equipment, increase the cleanup period of the well, and also reduce the time spent by engineering and technical personnel on well maintenance. All presented algorithms are able to increase the energy efficiency of oil production, which is an important task in the development of deposits at later stages.

Keywords

• well
• intelligent control station
• peripheral equipment
• energy efficiency
• well operation