Abstract
AbstractContact 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.
Highlights
Surface analysis is an essential aspect of the petroleum and process industries
Python program was used on some images of the standard liquids with the known value of interfacial tension (IFT) and contact angle
The standard deviation in each predicted IFT and contact angle value is reported to estimate the accuracy of the proposed algorithm
Summary
Surface analysis is an essential aspect of the petroleum and process industries This helps in designing an efficient and economical process. There is a formation of a thin film between the two fluid surfaces It is dependent upon the chemical structure, flow profiles, and properties of the different phases. With the dissimilar forces applied by two immiscible fluid phases at the interface, the interfacial tension (IFT) develops. This causes resistance in the miscibility of two fluids, making it difficult for the fluid to flow in a porous medium. IFT and contact angle are important parameters dictating oil recovery from petroleum reservoirs (Sheng 2013; Alnoush et al 2019).
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