| The CMEKF Method for Sub-Sea Pipeline Monitoring and Leak Detection |
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| 引用本文： | 白莉,岳前进,崔莉,李洪升,金兆玉,王庆国. The CMEKF Method for Sub-Sea Pipeline Monitoring and Leak Detection[J]. 中国海洋工程, 2004, 18(4): 527-535 |
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| 作者姓名： | 白莉 岳前进 崔莉 李洪升 金兆玉 王庆国 |
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| 作者单位： | Laboratory of Tribology，Department of Precision Instrum.，Tsinghua University，Beijing 100084，China，State Key Laboratory of Structural Analysis for Industrial Equipment，Department of Engineering Mechanics，Dalian University of Technology，Dalian 116023，China，State Key Laboratory of Structural Analysis for Industrial Equipment，Department of Engineering Mechanics，Dalian University of Technology，Dalian 116023，China，School of Civil and Hydraulic Engineering，Dalian University of Technology，Dalian 116023，China，State Key Laboratory of Structural Analysis for Industrial Equipment，Department of Engineering Mechanics，Dalian University of Technology，Dalian 116023，China，State Key Laboratory of Structural Analysis for Industrial Equipment，Department of Engineering Mechanics，Dalian University of Technology，Dalian 116023，China，School of Civil and Hydraulic Engineering，Dalian University of Technology，Dalian 116023，China |
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| 摘 要： | 1 .IntroductionIdentificationofaleakingflowlinerepresentsaspecialchallengetoboththeoilandgasindustryandregulators .While ,historically ,thenumberofcasesofshallowwaterreleasefromflowlinesisex tremelysmall,deepwaterflowlinesoperateunderconditionsrarelyencounteredinpreviousdevelopmentschemes .Theremotenessofthedeepwaterpipeline ,coupledwithanumberofcomplexinteractionsbe tweenthereleasedfluidsandthedeepwaterenvironment,effectivelyeliminatesmostexternaldetectionmethods (Scott,1 999) .Thecauseoflea…
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| 关 键 词： | CMEKF法 海底管线 非线性力学系统 卡尔曼滤波器 实时过渡模型 |
The CMEKF Method for Sub-Sea Pipeline Monitoring and Leak Detection |
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| BAI Li a,b,,YUE Qian-jin b,CUI Li c,LI Hong-sheng b,JIN Zhao-yu b and WANG Qing-guo c a Laboratory of Tribology. The CMEKF Method for Sub-Sea Pipeline Monitoring and Leak Detection[J]. China Ocean Engineering, 2004, 18(4): 527-535 |
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| Authors: | BAI Li a b YUE Qian-jin b CUI Li c LI Hong-sheng b JIN Zhao-yu b WANG Qing-guo c a Laboratory of Tribology |
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| Affiliation: | BAI Li a,b,1,YUE Qian-jin b,CUI Li c,LI Hong-sheng b,JIN Zhao-yu b and WANG Qing-guo c a Laboratory of Tribology,Department of Precision Instrum.,Tsinghua University,Beijing 100084,China b State Key Laboratory of Structural Analysis for Industrial Equipment,Department of Engineering Mechanics,Dalian University of Technology,Dalian 116023,China c School of Civil and Hydraulic Engineering,Dalian University of Technology,Dalian 116023,China |
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| Abstract: | A practical approach is discussed for sub-sea pipeline monitoring and leak detection based on the real time transient model . The characteristic method of transient simulation is coupled with the Extended Kalman Filter to estimate the system state where the only observed data are inlet and outlet flow rate and pressure. Because EKF has a time variant track under the non-stationary stochastic process with additive Gaussian noise, the high sensitivity of RTTM to non-stationary operating condition is reduced. A leak location recursion estimation formula is presented based on the real time observed data. The results of 27 groups of test data indicate that the procedure presented is sensitive to a wide range of detectable leak sizes and has a low average relative error of leak location . |
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| Keywords: | long-distance pipeline real time transient model nonlinear dynamic system extended Kalman filter |
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