Study On The Well Logging Interpretation Method Of Oil-Gas-Water Three Phase Flow With Telemetry Petal Type Tool

Flow pattern identification is a very important item in studying flow characteristics of multiphase flow in oil wells. Identifying flow pattern accurately provides a basement to get good models of production logging interpretation. This study proves oil-water two phase co-current system in vertical upward pipe a chaotic system by abstracting Lyapunov exponent from time series analysis of conductance fluctuation signals. Non-linear methods are used to characterize oil-water rv> o phase flow patterns by deriving Kolmogorov entropy. The result indicates Kolmogorov entropy is a sensitive indicator of oil-water two phase flow pattern.For the new petal type logging tool of three phase flow, based on the analysis of the experimental data acquired in simulant well, the criteria depending on the measurable parameters(mixture density and oil holdup) in practical engineering to identify oil-water flowing status in oil-gas-water co-current flowing system is put forward, further more, the distribution parameter and the dispersed phase exponents regarded to the different flow pattern are got, then the prediction model of individual phase flowrate fraction in vertical upward oil-gas-water three phase flow pipes is established. Further analysis gives us the prediction model of the total flowrate in vertical upward pipes based on the analysis of petal type turbine flowmeter in three phase flow. Compared with the setting values of the flow loop, the models give good total flowrate and individual phase flowrate fraction prediction accuracy. Using the proposed model, 8 producing gas wells have been interpreted and reasonable application results have been got.