油气两相流流量及相关参数测量研究

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1、浙江大学博士学位论文油气两相流流量及相关参数测量研究姓名：李强伟申请学位级别：博士专业：控制科学与工程指导教师：黄志尧20070601浙江大学博七学位论文4．将基于经验模态分解和BP神经网络的流型辨识新方法、基于电容层析成像技术和蚂蚁算法的空隙率测量方法和基于流型的油气两相流流量测量最佳模型整合起来，提出了油气两相流总质量流量和分相质量流量的测量新方案。该方案以ECT电容传感器和文丘里管流量计为测量信息源，利用流型辨识结果，选择每种流型下最佳流量测量模型进行测量。实验结果表明提出的方案是可行的。关键词：油气两相流，流量，流型，空隙率，质

2、量流量含气率II浙江大学博士学位论文ABSTRACTGas．1iauidtwo-phaseflowwidelYexistsinmanyindustriessuchaspetroleumandchemicalindustry,andtheresearchonthetwo-phaseflowhasbeenpaidmoreandmoreattention．Howg—qer,theintrinsiceomplexityofthetwo-phaseflowcausesmanydi伍calti船inmeasuringtheparametersoft

3、hetwo-phaseflow．Themeasm'eTllenttechnologyforthetwo-phaseflowhasbeenoneofthebottlenecksintheresearchfieldofthetwo．phaseflOW．Theflowrateparametersofthetwo-phaseflow,whichrelatetotheotherparametersofthetwo-phaseflowsuchasflowpattern,voidageandmassquality,areimportantforind

4、ustrialprocess．Themainpurposeofthisdissertationistoachieveanonlinemeasurementmethodoftheflowratesoftheoil．gastwo-phaseflow．And，themeasurementofthevoidage，themassqualityandtheidentificationoftheflowpatternarepaidattentionto．ThemainWOrkofthedissertationincludes：1．BasedonEm

5、piricalModeDecomposition(EMD)andBPneuralnetwork．anewmethodisproposedtoidentifytheflowpatternoftheoil．gastwo-phaseflow．EMDisappliedtoanalyzethedifferentialpressuresignal(anonlinearandnon-stationarysignal)toobtainfrequencycomponentswithdifferent∞ales．1rIlenormalizedenergie

6、softhecomponentsareextractedastheeigenvalueofflowPattern．Fiveflowpatternsincludingbubbleflow,Plugflow,stratifiedflow,slugflowandannularflowareidentifiedbyusingBPneuralnetwork．TheexperimentalresultsindicatetllattheproposedmethodiSeffectivefortheidentiflcationofflowpattern

7、andtheidentificationaccuracyare100％，89．40白，93．3％，96_3％and96．9％forbubbleflow,plugflow,stratifiedflow,slugflowandannularflowrespectively．2．Basedon12一electrodeElectricalCapacitanceTomography(ECnsystemandAntSystemAlgorithm(ASA)，anewmethodisproposedforthevoidagemeasuremeutoft

8、heoil．gastwo-phaseflow．Theconstructedmodelofthevoidagemeasurementisthelinearcombinationofthe66measureme