جستجوی مقالات مرتبط با کلیدواژه "امولسیون زدایی" در نشریات گروه "مهندسی شیمی، نفت و پلیمر"

The emulsion of salt water in crude oil causes reduction of crude oil quality, catalyst poisoning in downstream industries, and equipment corrosion in various parts of crude oil transportation, refining and storage systems. The most common industrial method for separating saline water from crude oil is the application of chemical compounds. Procuring the required chemical compounds will cost a lot. In addition, the performance of chemical demulsifiers is highly dependent on the type and structure of crude oil. The complexity of crude oil’s structure makes it difficult to develop performance models for demulsifiers. In order to reduce the number of important parameters of crude oil in modeling, the ratio of asphaltene to the total of resin and aromatic was used as the discriminating factor of crude oil emulsion process. Considering the complexity of the considered model, a support vector machine was used to predict the performance of commercial demulsifiers. The most important challenge in support vector machines is tuning hyperparameters. To tune the hyperparameters in this study, the risk criterion was used in predicting efficiencies higher than 85% and increasing the correlation coefficient. In order to collect modeling data, four samples of crude oil along with two samples of common commercial demulsifiers were prepared in the Production units of the southwestern fields of the country, and the performance of commercial demulsifiers at different operating conditions was checked using the bottle test method. The performance of the proposed algorithm for tuning hyperparameters was compared with the Bayesian optimization algorithm. The results show that adjusting the support vector machine hyperparameter with the risk criterion helps to design a model with better accuracy for predicting the performance of commercial demulsifiers. Considering the importance of modeling the performance of demulsifiers in petroleum industry, the evaluation of the model was investigated with a new emulsion sample. The results show that support vector machine can provide an efficient model for predicting the performance of commercial demulsifiers.

A method for transferring heavy oil emulsion with high viscosity heavy crude oil through the pipeline. Despite the substantial reduction in pressure and viscosity of the emulsion water/ oil, water must be removed before entering the refining process. Several methods have been proposed for the separation of water from the emulsion. The most common method demulsification oil is heating the emulsion. In addition, other methods have been introduced for deemulsification, despite the benefits, limitations, and problems such as low efficiency, high equipment costs and environmental problems are substantial. Therefore, due to the problems mentioned research has been directed toward new technologies. Among the methods of the past decade, most attention has been the use of microwave energy for heating instead of conventional demulsification. The advantage of this method is selected and volumetric heating, which causes the aqueous phase is further influenced by the type of heating and water separation efficiency increases. The microwave will cause the rotation of water molecules thereby neutralizing zeta potential leads to the breakdown of hydrogen bonds between water and the surfactant.