相似文献/References:
[1]蔚长春.ANSI/API SPEC 5L《管线钢管规范》的理解和实施[J].焊管,2009,32(2):58.[doi:1001-3938(2009)02-0058-07]
YU Chang-chun.Understanding and Application of ANSI/API SPEC 5L for Line Pipe[J].,2009,32(5):58.[doi:1001-3938(2009)02-0058-07]
[2]周建宏,石 凯,卢雪峰,等.国产CT80级连续油管用钢带对接焊焊接方法探讨[J].焊管,2009,32(5):25.[doi:1001-3938(2009)05-0025-03]
ZHOU Jian-hong,SHI Kai,LU Xue-feng,et al.Discussion on Strip Butt-welding Method of CT80 Grade Coiled Tubing Made in China[J].,2009,32(5):25.[doi:1001-3938(2009)05-0025-03]
[3]甘正红,任文浩.油气输送焊管制造用钢板超声检测标准对比解析[J].焊管,2010,33(7):60.[doi:1001-3938(2010)07-0060-05]
GAN Zheng-hong,REN Wen-hao.Comparison and Analysis on Steel Plate UT Standard of Manufacturing Welded Pipe Used for Transporting Oil and Gas[J].,2010,33(5):60.[doi:1001-3938(2010)07-0060-05]
[4]王文武,李继红,赵鹏康,等.连续油管环焊温度场及残余应力场数值分析[J].焊管,2011,34(3):18.
[5]秦跃平,张佃平.连续油管在油田洗井作业中的应用[J].焊管,2011,34(9):53.
[6]梁根选,金时麟 编译.连续油管下井作业技术与设备[J].焊管,2011,34(10):72.[doi:1001-3938(2011)10-0072-06]
Edited and Translated by LIANG Gen-xuan,JIN Shi-lin.Coiled Tubing Technology and Equipment[J].,2011,34(5):72.[doi:1001-3938(2011)10-0072-06]
[7]许晓锋,李为卫,秦长毅,等.《API SPEC 5L/ISO 3183管线钢管》标准最新进展[J].焊管,2011,34(11):70.[doi:1001-3938(2011)11-0070-05]
XU Xiao-feng,LI Wei-wei,QIN Chang-yi,et al.The Latest Development Progress of API SPEC 5L/ISO 3183 Line Pipe[J].,2011,34(5):70.[doi:1001-3938(2011)11-0070-05]
[8]李 琳,李继红,余 晗,等.连续油管TIG焊焊接接头最薄弱区工艺-性能神经网络预测模型[J].焊管,2012,35(1):5.[doi:1001-3938(2012)01-0005-03]
LI Lin,LI Ji-hong,YU Han,et al.The Neural Network Prediction Model of Process-property in the Weakest Area of Coiled Tubing TIG Welded Joint[J].,2012,35(5):5.[doi:1001-3938(2012)01-0005-03]
[9]罗 鹏,秦跃平,陈 锐,等.体积压裂与速度管柱排液复合技术的应用[J].焊管,2012,35(1):29.[doi:1001-3938(2012)01-0029-04]
LUO Peng,QIN Yue-ping,CHEN Rui,et al.Application of Volume Fracturing and Velocity String Discharging Fluid Composite Technology[J].,2012,35(5):29.[doi:1001-3938(2012)01-0029-04]
[10]李继红,李 琳,赵鹏康,等.连续油管直缝高频焊热影响区最薄弱区硬度的神经网络预测[J].焊管,2012,35(7):5.[doi:1001-3938(2012)07-0005-04]
LI Ji-hong,LI Lin,ZHAO Peng-kang,et al.The Neural Network Prediction of Hardness in the Weakest Area of Coiled Tubing in HFW HAZ[J].,2012,35(5):5.[doi:1001-3938(2012)07-0005-04]