In subsea oil- and gas applications, multiphase flow meters (MPFM) are used to measure volumetric flow rates of oil, gas and water produced from a well, without first separating the phases. When well productions decline the flow may become unstable, requiring additional controls. In these cases MPFMs are useful
instruments to detect well instability, blockages and disturbances so that the well can be controlled and stabilized in real time. Variations in flow regime and homogeneity in the Venturi-based MPFM may affect the accuracy of measured volume flow rates, making it important to understand these factors. Additionally, understanding slip velocity between phases is crucial for formulating an accurate slip model to compute phase volume flow rates. Reducing measurement uncertainties is essential to avoid losing valuable information about well development.
In this project, the sensitivity of the MPFM to flow- and geometrical parameters is studied by modelling and simulating the MPFM using CFD. In contrast to experimental tests, CFD simulations allow information to be extracted from the entire test domain, not just from individual sensors. This gives insight into how
MPFM design and operating conditions influence measurement certainty on a macroscopic scale, while also allowing for the investigation of smaller scale phenomena. Mean values and periodic behaviours of the flow parameters are evaluated to give insight into the flow behaviour and possible improvements for MPFM design in regards to flow homogeneity, reducing measurement uncertainty. Additionally, a suitable modelling technique is found to aid in the design and development of future MPFMs.