溶气原油CO2溶解度预测模型.

Objective The aim is to solve the problem that the original gas solubility models are difficult to be applied to dissolved gas (carbon dioxide) crude oil. Methods The influence of temperature and pressure on carbon dioxide solubility in the gathering and transportation environment was studied using a self-manufactured pressure-bearable stirring tank, and the experimental law was analyzed by Henry's law. At the same time, a new calculation model of carbon dioxide solubility in crude oil was established by using experimental data. Results The new model creatively introduced four parameters related to the ratio of actual pressure and atmospheric pressure, eliminating the dimensional problem of the existing models. Through the verification of experimental and literature data, it was found that the maximum relative error between the calculated value and the measured value was less than 32.5%, which was significantly improved compared with the three classical prediction models, which often exceeded 50%. The absolute error could be controlled within 2 L/L (CO2 based) crude oil. Conclusion Based on the remarkable improvement of the prediction effect of the model, it can be effectively applied to the gathering and transportation process of dissolved gas crude oil industry, and has important engineering significance for ensuring crude oil transportation. [ABSTRACT FROM AUTHOR]