KEYWORDS: Liquids, Head, Data modeling, Performance modeling, Water, Mathematical modeling, Manufacturing, Frequency conversion, Error analysis, Control systems
Aiming at the problems of scattered oil wells and high production measurement cost of single well in Halfaya oilfield, in order to timely grasp the change trend of single well production and improve the intelligent management level of oil well , the virtual metering method of liquid production of Electric submersible pump (ESP) well in Halfaya oilfield is studied. Starting from the working performance curve of ESP well and considering the influence of gas, viscosity and water content in fluid on pump operation performance, this paper calculates and corrects the working performance curve of ESP well by using the least square curve and polynomial fitting method, and constructs the virtual metering mathematical model of ESP well production based on real-time monitoring data. The comparison and verification of field measurement shows that the virtual measurement model of ESP well production in this paper is simple and practical, and can realize the on-line measurement of ESP well production. The calculated results are in good agreement with the measured results, and the maximum relative error is less than 5%, which provides a basis for oil well dynamic analysis and working system optimization in Halfaya oilfield.
In view of the fact that the informatization construction of Xinjiang Oilfield has entered the stage of intelligent construction, but there is still a certain gap in the digital transformation practice of advanced oil enterprises at home and abroad, it is proposed to build a digital technology covering oil and gas exploration, development and production, collaborative research The construction scheme of intelligent application ecology in business fields such as operation and management, so as to reduce the cost of oil and gas development and management, improve the efficiency of oil and gas development, and help the high-quality development of oil and gas companies. Taking the digital transformation of Xinjiang Oilfield as an example, this paper introduces the current situation of Internet of things construction in Xinjiang Oilfield. By combing the field production business process, combined with the development of big data and artificial intelligence in the field of oil and gas industry, this paper puts forward the scene construction of intelligent operation field, which provides guiding significance for the digital transformation of Xinjiang Oilfield.
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