State and Parameter Estimation of a Drift-Flux Model for Underbalanced Drilling Operations

Nikoofard, Amirhossein; Aarsnes, Ulf Jakob F.; Johansen, Tor Arne; Kaasa, Glenn-Ole

doi:10.1109/tcst.2016.2638683

Cited by 24 publications

(9 citation statements)

References 38 publications

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“…• Pressure wave propagation: pressure controllers are usually developed based on simplified models in which pressure dynamics (i.e., wave propagation effects) are ignored partially (Landet et al 2013) or totally (Stamnes et al 2008;Kaasa et al 2012;Nikoofard et al 2017;Aarsnes et al 2016b;Ambrus et al 2016;Pedersen et al 2018;Di Meglio et al 2009). The essential time scale associated to these dynamics can be in the range of tens of seconds, or even minutes in the case of gas influx into the wellbore.…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…Figures 1-4 show that the JCRLBs of position, velocity, range bias Δ r and bearing bias Δ θ increase as the covariance of the pseudo measurement noise hξ k i increases. From Equation (39), we know that the uncertainty of the pseudo measurement z � kþ1 is only dependent on the uncertainty of the white noise hξ k i owing to its independence of state x k+1 and x k and that the uncertainty of x k+1 and x k is fixed. So if the covariance R k increases, then the uncertainty of the pseudo measurement noise increases and the pseudo measurement z � kþ1 is more uncertain.…”

Section: Example 1: Autocorrelated Measurement Noisesmentioning

confidence: 99%

Recursive joint Cramér‐Rao lower bound for parametric systems with two‐adjacent‐states dependent measurements

Duan

Hanebeck

2021

IET Signal Processing

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Joint Cramér-Rao lower bound ( JCRLB) is very useful for the performance evaluation of joint state and parameter estimation ( JSPE) of non-linear systems, in which the current measurement only depends on the current state. However, in reality, the non-linear systems with two-adjacent-states dependent (TASD) measurements, that is, the current measurement is dependent on the current state as well as the most recent previous state, are also common. First, the recursive JCRLB for the general form of such non-linear systems with unknown deterministic parameters is developed. Its relationships with the posterior CRLB for systems with TASD measurements and the hybrid CRLB for regular parametric systems are also provided. Then, the recursive JCRLBs for two special forms of parametric systems with TASD measurements, in which the measurement noises are autocorrelated or cross-correlated with the process noises at one time step apart, are presented, respectively. Illustrative examples in radar target tracking show the effectiveness of the JCRLB for the performance evaluation of parametric TASD systems.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…The UBD model predictive control (MPC) was developed by Pedersen et al 17 to combine well control with top‐sided separation systems. By regulating the pump, the cooling pump and the separator valves, the download pressure, the fluid separator, and separator pressure were controlled.…”

Section: Literature Survey and Its Related Outlinementioning

confidence: 99%

Internet of underground things‐assisted performance evaluation for underbalanced drilling telemetry systems

Xie

Zhou

Zhang³

et al. 2020

Trans Emerging Tel Tech

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This paper presents recent developments with an emphasis on communication technologies, problems with networks, and localization techniques on the Internet of Underground Things (IoUT). Presently, Underground (sensors), communications and network protocols are enabled to allow IoUT validation in an effective way. A new IoUT model is designed to detect and incorporate communications between various industries, such as oil and gas, forestry, earthquake mapping, and the underground boundary protection. Such applications require data collection from the underground resources deployed. While, the challenging underground climate, including sand, rock and water drainages, does not allow a single system of communication. Hence, a new advanced distance-based approach and Channel Modeling have been developed for performance analysis and the ideal selection of the drilling telemetry system has been potentially analyzed for the development of an extended reservoir region. The predictive value of research is to build a structured and user-friendly framework for assessing telecommunications efficiency and supporting the decision optimization process. The proposed system has been validated and used for an adequate range of telemetry techniques in under-balanced drilling operations on a developed reservoir. Expert evaluations show the results and needs of telemetry systems achieve better results.

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State and Parameter Estimation of a Drift-Flux Model for Underbalanced Drilling Operations

Cited by 24 publications

References 38 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

Recursive joint Cramér‐Rao lower bound for parametric systems with two‐adjacent‐states dependent measurements

Internet of underground things‐assisted performance evaluation for underbalanced drilling telemetry systems

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