2020
DOI: 10.1115/1.4046774
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A Simplified Two-Phase Flow Model for Riser Gas Management With Non-Aqueous Drilling Fluids

Abstract: Gas-in-riser events can lead to rapid unloading if not timely controlled in a proper manner. When gas influx enters a wellbore with non-aqueous muds (NAMs), the ability of gas being dissolved in NAMs increases the difficulty in gas kick detection and significantly alters gas migration and unloading behavior from the predictions based on water-based muds (WBMs) assumptions. In this study, a new mathematical model for riser gas management in NAMs is developed. In this model, the desorption of diss… Show more

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Cited by 11 publications
(2 citation statements)
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“…Substantial research and development work has been performed on systematic mathematical investigations of multiphase flow over the past century. , However, many challenges remain. Fluid or process behavior is typically predicted using finite element analysis or is determined experimentally through trial and error. These methods are computationally expensive, , but identifying the flow pattern of two-phase gas–liquid in multiphase systems is necessary for process development. Therefore, approaches such as graphic flow pattern identification and optimized regression are being developed rapidly to reduce complex mechanical calculations. Recently, machine learning has been used to automate the design of a droplet generator. , However, machine learning has not yet been applied to design a two-phase separator, which is a challenging task owing to its complex immiscible biphasic flow pattern, separator design, and fluid dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…Substantial research and development work has been performed on systematic mathematical investigations of multiphase flow over the past century. , However, many challenges remain. Fluid or process behavior is typically predicted using finite element analysis or is determined experimentally through trial and error. These methods are computationally expensive, , but identifying the flow pattern of two-phase gas–liquid in multiphase systems is necessary for process development. Therefore, approaches such as graphic flow pattern identification and optimized regression are being developed rapidly to reduce complex mechanical calculations. Recently, machine learning has been used to automate the design of a droplet generator. , However, machine learning has not yet been applied to design a two-phase separator, which is a challenging task owing to its complex immiscible biphasic flow pattern, separator design, and fluid dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…Oil-based drilling fluid has many advantages, such as stable performance, strong antipolluting ability, and strong inhibition, and is widely used in China. The cementing quality under this condition is greatly affected by the effectiveness of the isolation fluid. Cementing displacement has always been a difficulty and key point in cementing research. For more than half a century, scholars around the world have performed systematic and in-depth studies on the mechanism and process of cement injection displacement …”
Section: Introductionmentioning
confidence: 99%