Design And Test Of Two-phase Flow Measurement Interpretation Software

Two-phase flow widely exists in m any oil field industrial applications. Based onthe idea of software engineering, we design and test a new two-phase flowmeasurement inte rpretation sof tware to supp ort the we ll logg ing inf ormationinterpretation in incline d oil wells. W e first introduce the widely used d evelopmentmodel in software engineering and indica te their features. Based on our specificrequirements, we select the waterfall m odel and choose the tim e–frequency analysismethod and complex network theory as the co re processing algorithm. In particular,the time–frequency analysis m ethod includes power spectrum density, Wigner-Villedistribution and Cohen tim e–frequency di stribution; the complex network m ethodconsists of visibility graph m ethod and horizontal visibility graph method. Based onthe modularity norm, we summary design and detailed design the software by settingdifferent modularity level to realize the core pr ocessing algorithm s, i.e.,time–frequency analysis method and complex network theory.Then, we input the sinusoidal signa l, m ulti-component linear frequencymodulation signal, sinusoidal frequency modulation signal and m ulti-componentsinusoidal f requency modulation signal and use block box approach to test thetime–frequency analysis m odularity. We input the chaotic signal, fractal signal andsinusoidal signal and use block box approach to test the com plex network analysismodularity. The results indica te that the com bined use of time–frequency analysismethod and com plex network theory from the software engineer ing perspective caneffectively reveal the important information contained in the signals.Finally, we use the measured signals to validation test our designed software andmake a deep analysis for the obtained results. W e conducted inclined oil-watertwo-phase flow experiment in the oil-ga s-water three-phase flow facility in T ianjinUniversity and use the sensor measurement system to measure a large number of flowsignals. We input the measured signals and make a validation testing for our designedsoftware. The results in dicate that the soft ware output can accurately an d effectivelyidentify and characterize the inclined oil-water Dispersion Oil in Water-Pseudoslugsflow pattern and Dispersion O il in Water-Countercurrent flow pattern. In this regar d,our designed software can provide important reference for the inclined well logging information interpretation in oil field exploitation.