Comparison of Results From an Advanced Gas Kick Simulator With Surface and Downhole Data From Full Scale Gas Kick Experiments in an Inclined Well

Rommetveit, Rolv; Vefring, Erlend H.

doi:10.2118/22558-ms

Cited by 32 publications

(15 citation statements)

References 5 publications

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“…This urges the use of a modified version of the DFM that accounts for the variations in the cross-sectional area. The modified DFM for the annulus reads as follows (Rommetveit and Vefring 1991 where A a (x) is the cross-sectional area of the annulus and we have denoted P a := [0, 0, p a ] T . In this context, a sub/superscript a refers to the annulus and a d to the drillstring.…”

Section: Mpd Description and Hydraulics Modellingmentioning

confidence: 99%

Modeling and Numerical Implementation of Managed-Pressure-Drilling Systems for the Assessment of Pressure-Control Systems

Naderilordejani

Abbasi

Velmurugan

et al. 2020

SPE Drilling &Amp; Completion

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Summary Automated managed-pressure drilling (MPD) is a method to enhance downhole pressure-control performance and safety during drilling operations. It is becoming more common to use model-based simulation for the evaluation of pressure-control systems designed for MPD automation before using those in the field. This demands a representative hydraulics-simulation model that captures the relevant aspects of a drilling system. This paper presents such a model and an approach to numerically implement that model for simulation studies. The complexity of this simulation model should be limited, first, to support effective numerical implementation and, second and most importantly, to allow for the analysis of the behavior and performance of the automated pressure-control systems during the controller-design phase. To this end, aspects of a drilling system that can considerably affect the performance of the automated MPD system are captured in the model. This hydraulics model incorporates both the distributed and multiphase-flow nature of a drilling system. Moreover, it captures nonlinear boundary conditions at the inlet of the drillstring, at the drill bit, and choke manifold, and also the variations in the cross-sectional area of the flow path. Model validations against field data from real-life MPD operations and simulations of industry-relevant scenarios indicate that these aspects are effectively captured in the model and preserved during the numerical implementation.

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Section: Mpd Description and Hydraulics Modellingmentioning

confidence: 99%

Modeling and Numerical Implementation of Managed-Pressure-Drilling Systems for the Assessment of Pressure-Control Systems

Naderilordejani

Abbasi

Velmurugan

et al. 2020

SPE Drilling &Amp; Completion

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“…Much effort, therefore, has been put into developing advanced hydraulics models in order to capture all aspects of the drilling hydraulics (Rommetveit and Vefring 1991;Petersen et al 1998Petersen et al , 2001Petersen et al , 2008aLage et al 1999;Lage and Time 2000;Bjørkevoll et al 2000Bjørkevoll et al , 2003. These models are able to reproduce a wide range of drilling-specific effects to an impressingly high degree of detail.…”

Section: Introductionmentioning

confidence: 99%

Simplified Hydraulics Model Used for Intelligent Estimation of Downhole Pressure for a Managed-Pressure-Drilling Control System

Kaasa¹,

Stamnes²,

Aamo³

et al. 2012

SPE Drilling &Amp; Completion

113

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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 complexity does not contribute to improvement of the overall accuracy of the pressure estimate simply because conditions in the well change during MPD operations and there are not enough measurements to keep all of the parameters of an advanced model calibrated.We will demonstrate that a simplified hydraulics model based on basic fluid dynamics is able to capture the dominating hydraulics of an MPD system. Furthermore, we will demonstrate that, by applying algorithms for online parameter estimation similar to those used in advanced control systems in the automotive and aerospace industry, the model can be calibrated automatically by use of existing measurements to achieve a level of accuracy comparable with that of a calibrated advanced hydraulics model. The results are demonstrated using field data from MPD operations in the North Sea and dedicated experiments obtained at a full-scale drilling rig in Stavanger.

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“…Although widely employed in well control simulation software (e.g. Nickens, 1987;Podio and Yang, 1986;Rommetveit and Vefring, 1991;Petersen et al, 2008), the DFM remains too unwieldy for real-time application in conjunction with model-based estimation and control techniques (Aarsnes, 2016). Finding efficient numerical solutions of the DFM is considered difficult due to strong non-linear coupling mechanisms and challenges associated with transition to single-phase regions (Evje and Wen, 2013).…”

Section: The Reduced Dfmmentioning

confidence: 99%

Real-time estimation of reservoir influx rate and pore pressure using a simplified transient two-phase flow model

Ambrus

Aarsnes

Vajargah

et al. 2016

Journal of Natural Gas Science and Engineering

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The ability to perform accurate pore pressure and reservoir inflow estimation during a kick incident is necessary, particularly when drilling in formations with narrow pressure margins. Currently available techniques for pore pressure estimation and reservoir characterization either rely on empirical correlations requiring access to well logging data and other petrophysical information, or require downhole pressure sensing and advanced flow metering capabilities. This paper introduces a model-based estimation technique which uses surface measurements commonly available in a Managed Pressure Drilling (MPD) system, coupled with a simplified transient two-phase model. This model is capable of representing essential dynamics during a gas kick with reduced computational overhead, but without sacrificing significant modeling accuracy. First, the model is validated in a gas kick scenario against experimental data, showing good agreement between key measured parameters and the model predictions, and thereby justifying the model applicability to field operations. Next, data generated from a commercial simulator test case is used to evaluate the proposed estimation methodology. The estimated pore pressure and reservoir productivity are close to their respective values from the commercial simulator, and the flow out rate and surface back-pressure predicted by the simplified two-phase model yield very good match against the simulator results.

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Comparison of Results From an Advanced Gas Kick Simulator With Surface and Downhole Data From Full Scale Gas Kick Experiments in an Inclined Well

Cited by 32 publications

References 5 publications

Modeling and Numerical Implementation of Managed-Pressure-Drilling Systems for the Assessment of Pressure-Control Systems

Modeling and Numerical Implementation of Managed-Pressure-Drilling Systems for the Assessment of Pressure-Control Systems

Simplified Hydraulics Model Used for Intelligent Estimation of Downhole Pressure for a Managed-Pressure-Drilling Control System

Real-time estimation of reservoir influx rate and pore pressure using a simplified transient two-phase flow model

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