(582d) Enhancing Predictability of Gas Evolution Rate in Hydrocarbon Systems through Live Oil Property-Based Mass Transfer Coefficient Determination

Understanding and predicting the rate of gas evolution in hydrocarbon systems is crucial for various industrial processes, particularly in the energy sector. Our previous research has established empirical correlations to determine the mass transfer coefficient, primarily based on dead oil properties. These correlations were derived from extensive experimental data and have been used to predict gas evolution rates under various conditions. However, the dynamic nature of hydrocarbon systems, where gas dissolves into the liquid phase during gas evolution, alters the fluid properties, particularly viscosity. The anticipated goal of this research is the creation of an improved methodology for predicting the rate of gas evolution, commonly known as the volumetric mass transfer coefficient in gas-liquid separation. The system will be improved to produce more accurate predictions by considering live oil properties, dead oil features, and energy dissipation. The empirical correlation generated will include physical variables such as live oil density and viscosity, increasing the prediction model's precision. Utilizing the Lamont and Scott mass transfer models based on eddy type will help calculate the Schmit number, a critical parameter in the prediction equation. This revised methodology will be validated using published data on model oils at varying pressures, temperatures, and supersaturation ratios. Our focus is addressing the viscosity changes induced by gas dissolution in the liquid phase during gas evolution. By considering the dynamic nature of the system, we seek to develop a more accurate correlation that captures the evolving properties of the fluid, sparking intrigue and anticipation in our professional colleagues.