Automated determination of interfacial tension and contact angle using computer vision for oil field applications

Contact angle and surface tension are the two most widely used surface analysis approaches for reservoir fluid characterization in petroleum industries. The pendant drop method has among the most widely used techniques for the estimation of surface tension. The present work utilizes a python-based computer program to automatically determine interfacial tension (IFT) and contact angle from the pendant drop image acquired from a typical pendant drop apparatus. The proposed program uses python-based image processing libraries for the analysis of the pendant drop image. Also, the program is tested on images acquired from the standard solutions for the IFT and contact angle calculation showing promising results with a standard deviation of less than 1.7 mN/m.

Automated summary

The study utilizes the pendant drop method and a Python-based computer program to automatically determine interfacial tension and contact angle for reservoir fluid characterization, showing promising results with a standard deviation of less than 1.7 mN/m. This approach provides a convenient and efficient way to analyze surface properties in petroleum industries.