Hybrid Modeling Method of Comprehensive Energy Consumption for Oil and Gas Production Process
LIU Tan1, GAO Xianwen1,2, WANG Lina1
1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2. State Key Laboratory of Integrated Automation of Process Industries, Northeastern University, Shenyang 110819, China.
LIU Tan, GAO Xianwen, WANG Lina. Hybrid Modeling Method of Comprehensive Energy Consumption for Oil and Gas Production Process[J]. Journal of Northeastern University(Natural Science), 2013, 34(11): 1525-1528.
[1] 郑海金,邓吉彬.能耗最低机采系统设计方法的研究及应用[J].石油学报,2007,28(2):129/132.(Zheng Haijin,Deng Jibin.Research and application of the design method on lowest energy consumption aphaeresis system[J].Acta Petrolei Sinica,2007,28(2):129/132.) [2] 董世民,李海琴,闫新明,等.抽油机井系统效率极限值的仿真研究[J].系统仿真学报,2008,20(13):3533/3537.(Dong Shimin,Li Haiqin,Yan Xinming,et al.Simulation study on limit value of pumping wells system efficiency[J].Journal of System Simulation,2008,20(13):3533/3537.) [3] Xiao J J,Shonham O,Brill J P,et al.A comprehensive mechanistic model for twophase flow in pipeline[C]//SPE Annual Technical Conference and Exhibition.New Orleans,1990:23/26. [4] Manzhai V N,Ilyushnikov A V,Gareev M M,et al.Laboratory studies and commercial tests of a polymeric agent for reduction of the power consumption on an oil pipeline[J].Journal of Engineering Physics and Thermo Physics,1993,21(5):1041/1044. [5] 刘扬.环形掺热水集输系统优化设计及分析[J].石油学报,1999,20(1):77/81.(Liu Yang.Optimization design and analysis of circular gathering and transferring system with mixing hot water[J].Acta Petrolei Sinica,1999,20(1):77/81.) [6] Wu Y G.A study on optimal operation and energy saving of super heavy oil pipeline[C]//Computer Distributed Control and Intelligent Environmental Monitoring(CDCIEM).Changsha,2011:400/403. [7] 赵洪激,刘扬,高林森.树状双管掺热水集输系统参数优化技术[J].石油学报,1997,18(1):105/109.(Zhao Hongji,Liu Yang,Gao Linshen.Parameter optimization techniques about tree double tube gathering and transportation system mixed with hot water[J].Acta Petrolei Sinica,1997,18(1):105/109.) [8] Cortes C,Vapnik V.Supportvector net works[J].Machine Learning,1995,20(3):273/297. [9] Kim K,Lee J M,Lee I M.A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction[J].Chemometrics and Intelligent Laboratory Systems,2005,79(2):22/30.