Mechanistic modeling of droplet breakage
UNDERSTANDING PARTICLE BREAKAGE MECHANISMS IS ESSENTIAL FOR DESIGNING EFFICIENT SEPARATORS
Having subsea processing as one of the most effective ways for enhancement of oil and gas production, multiphase separators are recognized as the primary aid to separate the fluid components of wellbore multiphase flows for further processing and transportation. There is a wide range of methods used to design multiphase separators. The design of separators, however, does not appear to be trivial, as it essentially requires careful considerations of underlying physical phenomena, one being accurate quantification of fluid particle breakage and coalescence mechanisms. Separation efficiency is therefore not only affected by separator vessel configuration and operational conditions, but also by the particle break-up and coalescence processes within the internal sectors. Thus, proper characterization of particle breakage is essential for enhancement of separator designs and, consequently, effective control of separation efficiency.
ANALYSIS OF FLUID-PARTICLE INTERFACE INSTABILITY AND ITS SHAPE OSCILLATIONS
Acquiring knowledge on the dynamics of dispersed phase fluid particles and continuous fluid interaction and interface instability enables better understanding of fluid particle breakage and helps to identify the possible factors affecting the instability of the interface, leading to a breakage. Considering the random nature of the turbulent flow, a fluid particle in a turbulent field can be subjected to various-size deformations over a certain period of time.
The aim of this work is to evaluate the possibility of instability analysis implementation in fluid particle breakage modelling to possibly redefine or improve the determination of major parameters required for breakage predictions. Moreover, to gain a better understanding of bubble breakage in the turbulent field, experiments have been performed, which can eventually assist in re-evaluating the accuracy of the currently available breakage models.