开发用于预测冷凝乳化液的建模工具
本研究提出了一种用于预测凝析油乳化液的新型建模工具的开发,重点关注导致乳化液的关键因素,例如 pH 值、固体含量、沥青质浓度、液滴大小和有机酸。
This study presents the development of a novel modeling tool designed to predict condensate emulsions, focusing on key factors causing emulsions such as pH, solid content, asphaltene concentration, droplet size, and organic acids. The findings reveal that higher shear rates and the presence of asphaltenes significantly enhance emulsion stability, while pH and organic acid content play complex roles in either stabilizing or destabilizing the emulsions.
An emulsion is a combination of two immiscible liquid phases wherein one phase is dispersed within the other. In an emulsion, a continuous phase and a dispersed phase exist, also referred to as the external and internal phases, respectively. The dispersed phase consists of oil droplets within the continuous phase of water, or vice versa.