Details

Autor(en) / Beteiligte

• Liu, Wan-lu
• Liu, Zhao-xia
• Wang, Qiang
• Gao, Ming
• Wang, Zheng-bo
• Lin, Jia'en

Titel

Establishment and Validation of Mathematical Model of Emulsification Chemical Combination Flooding

Ist Teil von

• Proceedings of the International Field Exploration and Development Conference 2021, 2022, p.1715-1725

Ort / Verlag

Singapore: Springer Nature Singapore

Erscheinungsjahr

2022

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Base on investigation and research on emulsion flow behavior in porous media, oil displacement mechanism of emulsion and its influencing factors are summarized and analyzed. Then establish a new emulsification chemical combination flooding mathematical model with most direct and most important parameters and validate its accuracy and practicability. Two main emulsion displacement mechanisms are realized in the mathematical model. One is the relationship that emulsification relative permeability curves are chosen through a new parameter. It is additional reduction of residual oil saturation due to emulsification. The other is the description that viscosity of displacing phase is modified with oil-water miscible ratio. According to the emulsification mathematical model, a new software is developed. And a series of comparison schemes are designed to test it. Test results show that emulsification during chemical combination flooding can reduce water cut and increase oil output effectively. And this ability increases as emulsification strength of the system increases, but the increase rate decreases gradually. It conforms to the emulsification mechanism and oilfield development law. So, it is confirmed that the model and the software are reliable and functional. Lastly, several displacement experiments are used to further verify the new model. After fitting and forecasting, the error between results of displacement experiments and numerical simulation is less than 5%. The model is more in line with actual emulsion seepage law and easier to implement. The parameters involved can be obtained through laboratory experiments easily.