MA Xinyuan, OUYANG Xin, ZHU Jianlu, CHEN Junwen, LIU Luoqian, YANG Teng, SONG Guangchun. Adaptability evaluation of the software for transient process simulation of supercritical CO2 pipelines[J]. Oil & Gas Storage and Transportation, 2024, 43(5): 590-599. DOI: 10.6047/j.issn.1000-8241.2024.05.012
Citation: MA Xinyuan, OUYANG Xin, ZHU Jianlu, CHEN Junwen, LIU Luoqian, YANG Teng, SONG Guangchun. Adaptability evaluation of the software for transient process simulation of supercritical CO2 pipelines[J]. Oil & Gas Storage and Transportation, 2024, 43(5): 590-599. DOI: 10.6047/j.issn.1000-8241.2024.05.012

Adaptability evaluation of the software for transient process simulation of supercritical CO2 pipelines

  • Objective Transient processes like leakage and commissioning in CO2 pipeline operation pose simulation challenges due to the unique physical properties and phase behavior of CO2. Currently, there is a deficiency in adaptability evaluation of numerical simulation software for CO2 pipeline transient processes.
    Methods This study utilized two mainstream transient simulation software, OLGA and LedaFlow, to establish a numerical simulation model for transient CO2 leakage. Testing was conducted on a self-built experimental setup for DN200 high-pressure CO2 pipeline leakage across different phases, with software adaptability evaluated in terms of pressure, temperature and phase behavior. Furthermore, the adaptability of these software types was verified through a comparison of the simulation results with field data from transient commissioning of a long-distance CO2 pipeline in China.
    Results The comparison of the results from leakage test and software simulations revealed that under two specified leakage conditions, OLGA exhibited average pressure calculation errors of 15.3% and 14.7%, whereas LedaFlow exhibited errors of 16.7% and 18.0%. Consequently, the pressure calculation accuracy of OLGA closely aligns with that of LedaFlow. OLGA underestimated the lowest temperature in the pipe during leakage, with average relative errors of 21.2% and 24.5% at the two measuring points. In contrast, LedaFlow overestimated the lowest temperature with average relative errors of 13.1% and 11.1% at the two measuring points. During the commissioning of a CO2 pipeline, OLGA exhibited average relative errors of 1.2% for pressure and 6.1% for temperature, whereas LedaFlow exhibited errors of 1.3% and 5.2% for the same parameters. The simulation results from both software packages closely align with the field data.
    Conclusion In conclusion, in the process of CO2 pipeline leakage, OLGA underestimates the lowest temperature during the leakage process, which can enhance the low-temperature safety of the pipeline. OLGA is better suited for predicting pressure, temperature and phase behavior during CO2 leakage. Both OLGA and LedaFlow are suitable for simulation studies on pressure and temperature in CO2 pipelines during commissioning.
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