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Research On Technology Of Phase Ratio Measurement Of New Dual Receiver Fiber Probe Sensor

Posted on:2020-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:H HaoFull Text:PDF
GTID:2428330599460536Subject:Engineering
Abstract/Summary:PDF Full Text Request
Oil-gas-water multiphase flow is common in oil wells in the middle and late stages of oilfield development.Parameter detection of oil-gas-water three-phase flow has always been one of the hot issues of modern petroleum industry.The phase separation rate measurement is an important research content in the detection of oil-gas-water three-phase flow parameters.An important research content is that the flow characteristics of oil-gas-water multi-phase flow are very complicated,which makes it difficult to measure the phase fraction of oil-gas-water multi-phase flow.In order to meet the actual needs of oilfield production,this paper studies the phase separation rate measurement technology of oil-gas-water three-phase flow based on fiber-optic probe based on the actual development strategy of Daqing Oilfield.Firstly,aiming at the shortcomings of the measurement parameters of the current gas-holding fiber-optic probe sensor,the paper studies the single-fiber measurement of phase-separation rate of oil-gas-water multi-phase flow,and analyzes the theoretical model of the cone-shaped fiber probe sensitive head.Based on this theoretical analysis,the coupling optical path is redesigned and the sapphire fiber probe sensor structure model is optimized.A new dual-receiver fiber probe based on multi-features for the measurement of phase separation of oil-gas-water three-phase flow is finally determined.Based on this,the ZEMAX optical analysis software is used to establish the simulation model and simulate the oil-gas-water three-phase flow environment to optimize the design of the source and detector position parameters.Secondly,aiming at the estimation of the phase fraction of oil-gas-water three-phase flow in vertical riser,a wavelet transform based fiber-optic probe output signal denoising algorithm and K-means clustering algorithm based on self-organizing competitive neural network are studied.On the one hand,the problem that the output response signal of the dual-receiver fiber probe sensor of the present invention is susceptible to noise interference is solved.On the other hand,the new dual-receiver fiber probe sensor provides a corresponding response processing method,and completes the phase separation rate measurement of oil-gas-water three-phase flow.Finally,combined with the new dual-receiving fiber probe sensor structure and optical fiber output signal soft processing,the expected target of single-fiber oil-gas-water three-phase flow phase separation rate measurement is realized,and a new dual-receiving fiber optic probe sensor based on the phase separation rate measurement of oil-gas-water three-phase flow in the oil well is produced.the oil-gas-water three-phase flow simulation experimental device platform is constructed at the same time,the phase separation ratio of the fiber probe sensor is measured by using the oil-gas-water three-phase flow at different flow rates and under different working conditions.The estimation method was carried out for experimental verification and comparative analysis of the results.
Keywords/Search Tags:Oil-gas-water three-phase flow, Dual receiver, Self-organizing Competition, K-means clustering, Phase Separatiob ratio
PDF Full Text Request
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