Reservoir characterization in under-balanced drilling using low-order lumped model

Nikoofard, Amirhossein; Kaasa, Glenn-Ole; Johansen, Tor Arne

doi:10.1016/j.jprocont.2017.12.002

Cited by 9 publications

(9 citation statements)

References 31 publications

(46 reference statements)

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“…The author used the nonlinear movement horizon observer 18 to estimate the annular gas and liquid mass, gas and liquid output constants from the reservoir into the well with the measurement of shock and bottom hole pressure during the UBD. This observer algorithm was tested using a lower‐order lumped model for two separate simulations of low and high noise covariance estimation using Joint Unscented Kalman filters.…”

Section: Literature Survey and Its Related Outlinementioning

confidence: 99%

“…During underbalanced drilling efficiency, the spontaneous counter‐current imbibition should be modeled on a number of different imbibition mechanisms in porous media. This paper proposes a number‐based approach to evaluate different parameters that greatly affect the damage to formation caused by underbalanced performance drilling performance 18 . As formation damage has caused many inefficiencies in drilling, the precise model fits best for the reservoir characteristics by looking at field assumptions; the main objective of the current study is to present an established analytical model approach to prevent penetrated mud filtration by penetrating material saturation and its comparison to laboratory knowledge.…”

Section: Literature Survey and Its Related Outlinementioning

confidence: 99%

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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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Section: Literature Survey and Its Related Outlinementioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…Due to the importance of the amount of the outlet fluid from the well and controlling the variations of the oil and gas reservoirs, most studies have focused on well's outlet measurement. Using inference methods with a focus on gas lift wells is a notable subject in this regard (Aamo et al, 2005;Kaasa et al, 2012;Nikoofard et al, 2018).…”

Section: Gas Refinery Systemmentioning

confidence: 99%

Robust optimal decentralized observer for multi-phase flow measurement

Farahani

Montazeri

Pourgholi

2019

Transactions of the Institute of Measurement and Control

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In this paper, a non-fragile optimal observer is proposed for the decentralized multiphase flow measurement based on the interconnections between the two subsystems, that is, gas and liquid, constituting the whole system. Due to the dynamic model of system and presence of disturbances and slowly varying quantities, a non-fragile decentralized observer is designed and the states of the condensate and gas sub-systems were separately estimated. Lyapunov-based stability conditions are converted to linear matrix inequality (LMI) and observer gains are optimally selected from solution set such that the effect of the disturbance on the states’ estimation error becomes minimized. The estimation is conducted using the real-time measurements including lines pressures, single-phase gas flow, and single-phase liquid flow in the refinery outlet. To check the stability and performance of the system against the changes, the Lyapunov theory has been used. Finally, the estimation results are compared with real-world data from the industry showing the high accuracy of this method as the estimations were consistent with the operation data. In all stages, the investigations were based on the data collected from the actual process in the South Pars Gas Complex (SPGC), Iran. Additionally, the Extended Kalman Filter (EKF) based on the simplified drift flux model (DFM) was used to estimate the states then both methods’ results are compared and using the HYSYS simulator with the real process data, it is found that both observers are capable to identify the states with some differences in performance and DFM model is sufficient for estimation of parameters and states of the multiphase flow entering the gas refinery. As a result, these techniques not only can be substituted for the existing system at the gas refinery, but also can be as a backup for available measurement systems.

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“…As a result, using soft sensors is a solution to overcome the existing problems and increase the accuracy of multiphase fluids measurement [14]. In this regard, the Different types of Kalman filter (KF) such as extended (EKF) or unscented (UKF) Kalman Filter area well-established technique for state estimation [15,16].…”

Section: Introductionmentioning

confidence: 99%

Computational method for multiphase flow characterization in the gas refinery

Farahani

Montazeri

2020

Heliyon

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This paper presents a new computational method for the decentralized multiphase flow measurement based on the interconnections between the two subsystems to precisely estimate the states of the multiphase flow at the gas refinery. The states of the condensate and gas sub-systems were separately estimated using the Differential Mean Value Theorem by considering the relationship between two subsystems, designing an observer and converting the conditions to linear matrix inequality. To check the stability and performance of the system against the changes, the Lyapunov theory has been used. The states behavior investigated with and without disturbance in the system output and dynamics. Additionally, the Unscented Kalman Filter based on the simplified drift flux model was used to estimate the states. It is found that both observers are capable to identify the states with some differences in performance and drift flux model is sufficient for estimation of parameters and states.

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Reservoir characterization in under-balanced drilling using low-order lumped model

Cited by 9 publications

References 31 publications

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

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

Robust optimal decentralized observer for multi-phase flow measurement

Computational method for multiphase flow characterization in the gas refinery

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