2012
DOI: 10.2118/143097-pa
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Simplified Hydraulics Model Used for Intelligent Estimation of Downhole Pressure for a Managed-Pressure-Drilling Control System

Abstract: An essential part of an automated managed-pressure-drilling (MPD) control system is the hydraulics model, which, in many cases, is the limiting factor for achievable accuracy of the system. Much effort, therefore, has been put into developing advanced hydraulics models that capture all aspects of the drilling-fluid hydraulics. However, a main drawback is the resulting complexity of these models, which require expert knowledge to set up and calibrate, making it a high-end solution.In practice, much of the compl… Show more

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Cited by 110 publications
(68 citation statements)
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“…The process model [29] is a simplified hydraulics single-phase model with two control volumes connected with a momentum balance at the drilling bit. This model has been verified for offshore MPD commissioning tests, and is suitable for control and detection purposes where unknown parameters can be estimated.…”
Section: Simplified Single-phase Hydraulics Modelmentioning
confidence: 99%
“…The process model [29] is a simplified hydraulics single-phase model with two control volumes connected with a momentum balance at the drilling bit. This model has been verified for offshore MPD commissioning tests, and is suitable for control and detection purposes where unknown parameters can be estimated.…”
Section: Simplified Single-phase Hydraulics Modelmentioning
confidence: 99%
“…The model is a simplified hydraulics model (Kaasa et al, 2012) for managed pressure drilling, given by dp…”
Section: Simplified Hydraulics Modelmentioning
confidence: 99%
“… Effective bulk modulus. A bulk modulus is used because the degree of mechanical compliance of casing, pipe, hoses, and other components is uncertain and also it is impossible to predict the amount of gas pockets, bubbles, or breathing of the well (Kaasa et al (2012)). …”
Section: Annulus Flow Dynamicsmentioning
confidence: 99%
“…There are several studies about different aspects of MPD modeling (e.g. see Landet et al (2012aLandet et al ( , 2013; Petersen et al (2008); Mahdianfar et al (2013); Kaasa et al (2012)). Estimation and control design in MPD has been investigated by several researchers (e.g.…”
Section: Introductionmentioning
confidence: 99%
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