Oil and gas pipelines are affected by many factors,such as pipe wall thinning and pipeline rupture.Accurate prediction of failure pressure of oil and gas pipelines can provide technical support for pipeline safety man...Oil and gas pipelines are affected by many factors,such as pipe wall thinning and pipeline rupture.Accurate prediction of failure pressure of oil and gas pipelines can provide technical support for pipeline safety management.Aiming at the shortcomings of the BP Neural Network(BPNN)model,such as low learning efficiency,sensitivity to initial weights,and easy falling into a local optimal state,an Improved Sparrow Search Algorithm(ISSA)is adopted to optimize the initial weights and thresholds of BPNN,and an ISSA-BPNN failure pressure prediction model for corroded pipelines is established.Taking 61 sets of pipelines blasting test data as an example,the prediction model was built and predicted by MATLAB software,and compared with the BPNN model,GA-BPNN model,and SSA-BPNN model.The results show that the MAPE of the ISSA-BPNN model is 3.4177%,and the R2 is 0.9880,both of which are superior to its comparison model.Using the ISSA-BPNN model has high prediction accuracy and stability,and can provide support for pipeline inspection and maintenance.展开更多
On June 25^th and 26^th,the Sub-forum of the 2019 High-level Forum on Hot Issues in International Energy,focused on“Oil and Gas Pipeline Safety along the‘Belt and Road’”,was successfully held in Ruili,Yunnan.Joint...On June 25^th and 26^th,the Sub-forum of the 2019 High-level Forum on Hot Issues in International Energy,focused on“Oil and Gas Pipeline Safety along the‘Belt and Road’”,was successfully held in Ruili,Yunnan.Jointly sponsored by the Petroleum Industry Press,CNPC Southwest Pipeline Company and Southwest Petroleum University,it served as a sub-forum of the 2019 High-level Forum on Hot Issues in International Energy,which aims to provide a platform for energy experts to communicate with each other.Zhang Weiguo,Party Committee Secretary,Executive Director and General Manager of the Petroleum Industry Press,Zou Yongsheng,Executive Deputy General Manager of the CNPC Southwest Pipeline Company,and Sun Yiping,Party Committee Secretary of Southwest Petroleum University,gave opening speeches respectively.展开更多
文摘Oil and gas pipelines are affected by many factors,such as pipe wall thinning and pipeline rupture.Accurate prediction of failure pressure of oil and gas pipelines can provide technical support for pipeline safety management.Aiming at the shortcomings of the BP Neural Network(BPNN)model,such as low learning efficiency,sensitivity to initial weights,and easy falling into a local optimal state,an Improved Sparrow Search Algorithm(ISSA)is adopted to optimize the initial weights and thresholds of BPNN,and an ISSA-BPNN failure pressure prediction model for corroded pipelines is established.Taking 61 sets of pipelines blasting test data as an example,the prediction model was built and predicted by MATLAB software,and compared with the BPNN model,GA-BPNN model,and SSA-BPNN model.The results show that the MAPE of the ISSA-BPNN model is 3.4177%,and the R2 is 0.9880,both of which are superior to its comparison model.Using the ISSA-BPNN model has high prediction accuracy and stability,and can provide support for pipeline inspection and maintenance.
文摘On June 25^th and 26^th,the Sub-forum of the 2019 High-level Forum on Hot Issues in International Energy,focused on“Oil and Gas Pipeline Safety along the‘Belt and Road’”,was successfully held in Ruili,Yunnan.Jointly sponsored by the Petroleum Industry Press,CNPC Southwest Pipeline Company and Southwest Petroleum University,it served as a sub-forum of the 2019 High-level Forum on Hot Issues in International Energy,which aims to provide a platform for energy experts to communicate with each other.Zhang Weiguo,Party Committee Secretary,Executive Director and General Manager of the Petroleum Industry Press,Zou Yongsheng,Executive Deputy General Manager of the CNPC Southwest Pipeline Company,and Sun Yiping,Party Committee Secretary of Southwest Petroleum University,gave opening speeches respectively.
