Monitoring liquid Dropout for Investigating Liquid Loading in Gas Wells
Journal Title: American journal of Engineering Research - Year 2019, Vol 8, Issue 1
Abstract
This paper presents a dynamic simulation approach to monitoring liquid dropout in gas wells for investigating liquid loading of a fluid flowing in mist flow regime. It involves incorporating an event location property into an ODE solver that runs a dynamic mist flow model. The dynamic mist flow model was developed by coupling thermodynamic and hydrodynamic models as well as constitutive equations using Matlab programs that incorporate the Peng-Robinson equation of state and the convex hull algorithm. The event location property is integrated in such a way that at arbitrary positions in the wellbore, the event parameter informs the solver in the ODE file to return appropriate event function information. This is so because during flow, phase and compositional changes occur at different segments of the wellbore that would trigger the Event location property. In this instance, it returns temperature, pressure and composition at specific depths. Phase change is being monitored by changes in the color as the phase proportions vary. Using appropriate color coding, the liquid and vapor phases are monitored along the wellbore, and the amount of condensable liquid is being tracked by the changes in the color of the fluid composition at a given temperature and pressure. Hence, at specific depths in the wellbore, the composition of the fluid is determined which gives a clue of the amount of liquid dropout. The calculated phase compositions were validated using data obtained from commercial software, NIST RefProp and the results show good agreement. This procedure can provide substantial benefits in adequately investigating how liquids dropout during flow in gas wells.
Authors and Affiliations
Amieibibama Joseph, Christine M. Sands
Keywords
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