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Correlation Analysis of Oil-Water Based on PSO and SVM

Tian Jing-jing


There are a lot of considerable factors contribute to the oil-water interface measurement in oil tank. As the results, the traditional calculation method will get a non-reliable result which normally has a large nonlinear dimension. The author puts forward the method of calculation on oil water interface based on the combination of particle swarm optimization(PSO) and support vector machine(SVM). By simulating the real time data and optimization through further optimization model to obtain a prediction of oil-water interface and generates a fitting renderings. Error analysis shows the predicted results have acceptable small errors. It’s been proved this method can achieve better measurement of oil-water interface.


calculation of oil tank, calculation of the oil water contact, particle swarm optimization, support vector machine.

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