Emulsion stability prediction tool

• Published in: Egyptian journal of petroleum Vol. 32; no. 2; pp. 19 - 25
• Main Authors: Halim, Nor H., Panuganti, Sai R., Misra, Sanjay, Ibrahim, Jamal M.B.M.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2023; Egyptian Petroleum Research Institute
• Subjects: Application; Emulsion; Index; Stability; Model; Index; Emulsion; Stability; Application
• ISSN: 1110-0621
• DOI: 10.1016/j.ejpe.2023.04.001

[Display omitted] •This study harnesses data driven approach for emulsion strength prediction.•Emulsion stability index is introduced to standardize emulsion category.•The model is validated against laboratory and field data.•Deployed the tool successfully with the help of an application workflow. Produced fluids from oil field often contain emulsions which are a major challenge in the Petroleum Industry. Emulsion stability determines the ease with which oil and water separate in emulsion and plays an important role for production operations. The standard approach to know emulsion strength involves bottle testing which is time consuming and subject to human interpretation. A faster and safer alternative is by running a mathematical model. However, because of the complexity of emulsion system, an equation from first principles for predicting emulsion stability is not available even with such vast work in the literature. In this research we test a data driven approach for predicting emulsion stability category and introduce a new concept of emulsion stability index. A model is built from the emulsion behavior of real crude oil and validated for field success. A software application of this produced emulsion stability tool, packaged as PrEST, is also created for deploying the model at enterprise level to provide quick guideline for emulsion strength.