In order to obtain the safe shutdown time of supercritical CO2 pipeline,the commercial software OLGA was used to establish a calculation model of pipeline safety shutdown time under multi-factor synergy.Based on the parameter range of supercritical CO2 pipeline engineering planned by PetroChina Xinjiang Oilfield Company,the influencing factors of pipeline safety shutdown time,such as pipeline capacity,pipe diameter,pipe length,initial station outlet temperature,soil environment temperature,total heat transfer coefficient,and terminal station inlet pressure,were studied,and sensitive factors such as soil environmental temperature and pipe length were obtained based on the gray correlation analysis method.In order to predict safe shutdown time of pipelines,based on above parametric analysis of 1728 sets of safe shutdown time results,a database of pipeline safety shutdown time was established.Combined with the methods of dimensional analysis,Python fitting was used to obtain a high nonlinear regression calculation formula for mapping seven variable parameters(independent variables)and supercritical CO2 pipeline safety shutdown time(dependent variable).The results showed that the maximum relative error of prediction results of fitting formula was less than 10%,showing good prediction accuracy,and the method has high computational efficiency.
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