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Издательство:
Дата издания
30.03.2026На каком языке издана
ISSN
20763417Область исследования
Тип исследования
Аннотация (краткое описание)
Screw compressors are critical equipment in oil and gas production and transportation, where efficiency losses caused by rotor geometry, inlet pressure pulsations, and harsh climatic conditions can accumulate into substantial annual energy penalties and reliability degradation. This study provides a quantitative assessment of these coupled effects within a unified multiphysics framework that combines time-accurate transient CFD simulations based on a fixed Cartesian immersed-boundary formulation with a climate-calibrated offline physics-based digital twin—functioning as a digital shadow with one-way data flow from archival SCADA records—a reduced-order seasonal model with no real-time updating, calibrated against a full calendar year of SCADA records and validated against a held-out cold-season dataset (October–December 2022, Tamb = −15 to +8 °C); summer-period predictions rely on calibrated extrapolation beyond the validation window—an integration not previously demonstrated for oil-flooded screw compressors. Two rotor profile configurations (Type A and Type B) were analyzed to quantify geometry-driven differences in static pressure distribution, leakage tendency, and pulsation sensitivity. Transient suction conditions were modeled using harmonic and quasi-random inlet pressure disturbances to evaluate pressure amplification, phase lag, leakage intensification, and efficiency degradation. Seasonal performance was assessed by integrating temperature-dependent gas properties, oil viscosity behavior, and external heat transfer into an annual climatic load framework.DOI
10.3390/app16073359Тип публикаций
Практическое значение
The practical significance of this study lies in improving the design, operation, and energy efficiency of oil-flooded screw compressors used in oil and gas production and transportation systems. By combining transient CFD simulations with a climate-calibrated digital twin framework based on SCADA data, the research provides a comprehensive tool for evaluating the influence of rotor geometry, inlet pressure pulsations, and seasonal environmental conditions on compressor performance. The results enable engineers to identify optimal rotor profiles, reduce leakage losses, mitigate the adverse effects of pressure fluctuations, and improve operational stability under varying climatic conditions. The developed methodology supports predictive performance assessment and informed decision-making during equipment design, modernization, and maintenance planning. Furthermore, the integration of long-term climatic factors into compressor analysis helps operators optimize energy consumption, enhance reliability, reduce operating costs, and extend equipment service life, particularly in regions with harsh and highly variable environmental conditions. The proposed approach can be applied to digitalization and performance optimization of compressor stations across the oil and gas industry.Квартиль
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SCImago (Scopus)Impact Factor
6.1Данный документ располагается в коллекциях
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