Laboratory | Laboratory of intelligent diagnostics and control systems for oil and gas production facilities |
Phone | (+994 12) 539-37-98 |
Head of laboratory | Rzayev Asif Haji Doctor of Engineering, Associate Professor |
Main research areas | Development of hybrid intelligent monitoring, early diagnostics and control systems that allow detecting the latent period of accidents at oil production facilities and ensure their functioning in an efficient and suboptimal mode. |
Main scientific achievements | - The processes of oil fields have been analyzed and it has been established that a number of parameters at such facilities should be constantly monitored, analyzed, faults that may arise in equipment should be determined in advance, and measures should be taken to eliminate their causes; - Methods have been developed to improve the cost-effectiveness of oil wells operated by pumpjacks and an information system has been proposed for this purpose; - Robust information systems have been developed based on position-binary technologies for analyzing dynamometer card data for diagnosing and predicting malfunctions of deep-well pumps in oil fields; - More accurate and prompt algorithms and devices compared to existing methods of measuring the well flow rate have been developed; - Systems of intelligent monitoring and diagnostics of oil production facilities with mixed communication (physical line and radio) have been developed, successfully tested in the industrial environment and are being successfully operated at 190 wells of fields 1 and 3 of Shirvan OIL, two wells of Salyan OIL and 17 group metering stations of Trap type (each of which automatically measures the performance of 16 wells); - A mathematical model of the latent period of the process of objects transition into an emergency state has been proposed, algorithms and technology have been developed to ensure reliable monitoring of the beginning of this process, and new generation intelligent monitoring and diagnostic systems have been created, allowing to implement these theoretical results and at the same time to adjust the pumping speed of the pumping unit; - New generation intelligent monitoring and diagnostics systems for oil production facilities have been successfully tested in an industrial environment: at 3 wells of Shirvan OIL, at 10 wells of Garasu Operating Company, at 2 wells of Surakhani, Binagadi and Balakhani Oil and Gas Production Department and have been recommended by SOCAR for mass use by the relevant act. At present these systems are operated at more than 400 wells of SOCAR (Bibi-Heybatneft, Absheronneft and Amirovneft). Up to 30% power saving and more than 40% increase in overhaul life time in each well have significantly improved the profitability of these facilities. The novelty of the system is confirmed by an international patent; - Noise technology analysis of the parameters of power consumed by the motor of sucker-rod pumping units at the well allows increasing the adequacy of early diagnostics of the technical condition of its equipment; - On the basis of noise analysis of the output signal of the sensor gauging the power required by the submersible pump motor from the mains, the technology and algorithms for calculation of position-binary indicators have been developed. Their technical implementation on microcontrollers at the well level provides more adequate and early diagnostics of the submerged pump and motor failures; - New models of exponential type have been developed, which more accurately than the existing methods describe the pressure recovery curve (PRC) in normal and semi-logarithmic coordinates; - The inverse problem has been solved correctly, and the hydrodynamic characteristics of the reservoir and oil well have been determined reliably and accurately (with an accuracy of 3%) compared to existing methods that use only the asymptotic (last) part of the PRC (Horner, MDH, Musket, etc.), for this purpose a new method using the entire curve has been developed. |
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06.12.2024
Defense of a dissertation will be held at the meeting of ED 1.20 Dissertation Council -
02.12.2024
Examinations on specialty subjects for PhD degree and academic qualification examinations will be held at ICS in December 2024 -
29.11.2024
Regular meeting of the Science Council will be held -
28.11.2024
Regular meeting of the Science Council will be held