UKF-based estimation fusion of Underbalanced Drilling Process using pressure sensors

Nazari, Tahmineh; Mostafavi, Vahid; Hareland, Geir

doi:10.1109/imtc.2009.5168600

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Based on the Levenberg-Marquardt and extended Kalman filter (EKF), interpretation models of reservoir pressure and permeability were established, in which EKF was a realtime recursive algorithm. Nazari et al [16] introduced the unscented Kalman filter (UKF) to estimate the gas-liquid mixing velocity in the drill string and annulus. Several pressure sensors were installed in the annulus to improve the accuracy and robustness.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Interpretation Model of Reservoir Characteristics While Underbalanced Drilling Based on UKF

Zhang

et al. 2020

Geofluids

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This study presents a novel interpretation model for reservoir characteristics while underbalanced drilling (UBD), by incorporating an unscented Kalman filter (UKF) algorithm in a three-phase variable mass flow model of oil, gas, and liquid. In the model, the measurement parameters are simplified to bottomhole pressure and liquid outlet flow, for decreasing the amount of the computation and time. By taking into account real-time measurements, the permeability and reservoir pressure along the well can be continuously updated. Three cases including single-parameter and double-parameter estimations have been simulated, and the performance is tested against the extended Kalman filter (EKF). The results show that single-parameter estimation of reservoir permeability or pressure achieves superior performance. The filtered values of bottomhole pressure and outlet flow trace the measured values in real time. When a new section of a reservoir is opened, the estimated reservoir permeability or pressure can always be quickly and accurately returned to its true value. However, it is not possible for the double-parameter estimation to obtain good results; its interpretation accuracy is low. UKF is superior to EKF in both estimation accuracy and convergence speed, which further illustrates the superiority and accuracy of the novel interpretation model based on UKF. Benefits from this model are seen in accurate bottomhole pressure and reservoir characteristic predictions, which are of major importance for safety and economic reasons during UBD and follow-up completion operations.

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Section: Introductionmentioning

confidence: 99%

Real-Time Interpretation Model of Reservoir Characteristics While Underbalanced Drilling Based on UKF

Zhang

et al. 2020

Geofluids

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Data-driven soft sensor of downhole pressure for a gas-lift oil well

Teixeira

Castro

Teixeira

et al. 2014

Control Engineering Practice

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Application of Laser and Plasma for Thermal Assisted Drilling in Carbonated Formations

Bazargan

2021

Day 2 Wed, September 08, 2021

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Employing novel drilling, and tunneling methods are active area of study since 1930s. In the present report, an Experimental study of the thermal impact of laser and plasma torch on carbonated rocks as part of thermal assisted drilling operation is presented. The experimental findings are then evaluated and verified by the Kirch's equations for stresses and strains around a cylindrical borehole. Since it is vital to carefully studying the wellbore stability in this type of drilling method, especially if it is associated with underbalanced drilling (UBD) and or Managed pressure drilling (MPD), further numerical investigations are carried out to highlight the necessary considerations in this regard.

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UKF-based estimation fusion of Underbalanced Drilling Process using pressure sensors

Cited by 3 publications

References 6 publications

Real-Time Interpretation Model of Reservoir Characteristics While Underbalanced Drilling Based on UKF

Real-Time Interpretation Model of Reservoir Characteristics While Underbalanced Drilling Based on UKF

Data-driven soft sensor of downhole pressure for a gas-lift oil well

Application of Laser and Plasma for Thermal Assisted Drilling in Carbonated Formations

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