The increasingly complex oil and gas wellbore condition and the need of drilling in more challenging downhole environments motivate rising research on the drilling control system based on real-time state feedback or measurements from the bottom of the wellbore. However, due to the complex downhole condition and cost-viability, mud pulse telemetry is normally used in this industry to transmit the downhole measurements to the surface, which can cause a large data communication delay as a result of its low bandwidth and slow mud pulse transmission. Since the major drilling control is on the surface, an observer is required to estimate the real-time states of the drilling dynamics as well as the downhole condition, based on the delayed downhole measurement. In this study, we first construct a drilling system dynamics model with coupled axial and torsional dynamics. Then, with the existence of a large output measurement delay, two chain-observer design strategies are introduced for the case of slowly varying control inputs and that of fast-varying control inputs, respectively. The effectiveness of the proposed observer design methods is shown through numerical results.
Skip Nav Destination
Article navigation
July 2018
Research-Article
Observer Design for a Wellbore Drilling System With Downhole Measurement Feedback
Dongzuo Tian,
Dongzuo Tian
Department of Mechanical Engineering,
College of Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: tian.do@tamu.edu
College of Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: tian.do@tamu.edu
Search for other works by this author on:
Xingyong Song
Xingyong Song
Department of Engineering Technology and
Industrial Distribution;
Department of Mechanical Engineering,
College of Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: songxy@tamu.edu
Industrial Distribution;
Department of Mechanical Engineering,
College of Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: songxy@tamu.edu
Search for other works by this author on:
Dongzuo Tian
Department of Mechanical Engineering,
College of Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: tian.do@tamu.edu
College of Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: tian.do@tamu.edu
Xingyong Song
Department of Engineering Technology and
Industrial Distribution;
Department of Mechanical Engineering,
College of Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: songxy@tamu.edu
Industrial Distribution;
Department of Mechanical Engineering,
College of Engineering,
Texas A&M University,
College Station, TX 77843
e-mail: songxy@tamu.edu
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received August 25, 2017; final manuscript received December 3, 2017; published online February 13, 2018. Assoc. Editor: Mahdi Shahbakhti.
J. Dyn. Sys., Meas., Control. Jul 2018, 140(7): 071012 (10 pages)
Published Online: February 13, 2018
Article history
Received:
August 25, 2017
Revised:
December 3, 2017
Citation
Tian, D., and Song, X. (February 13, 2018). "Observer Design for a Wellbore Drilling System With Downhole Measurement Feedback." ASME. J. Dyn. Sys., Meas., Control. July 2018; 140(7): 071012. https://doi.org/10.1115/1.4038859
Download citation file:
Get Email Alerts
Cited By
Regret Analysis of Shrinking Horizon Model Predictive Control
J. Dyn. Sys., Meas., Control (March 2025)
Control-Oriented Modeling of a Solid Oxide Fuel Cell Affected by Redox Cycling Using a Novel Deep Learning Approach
J. Dyn. Sys., Meas., Control (March 2025)
Robust Control of Exo-Abs, a Wearable Platform for Ubiquitous Respiratory Assistance
J. Dyn. Sys., Meas., Control (March 2025)
Resilient Self-Triggered Model Predictive Control of Cyber-Physical Systems Under Two-Channel False Data Injection Attacks
J. Dyn. Sys., Meas., Control (March 2025)
Related Articles
Trajectory Tracking and Rate of Penetration Control of Downhole Vertical Drilling System
J. Dyn. Sys., Meas., Control (September,2018)
Computationally Efficient Down-Hole Drilling System Dynamics Modeling Integrating Finite Element and Transfer Matrix
J. Dyn. Sys., Meas., Control (December,2017)
A Finite Element Method With Full Bit-Force Modeling to Analyze Drillstring Vibration
J. Dyn. Sys., Meas., Control (September,2017)
Control of Down-Hole Drilling Process Using a Computationally Efficient Dynamic Programming Method
J. Dyn. Sys., Meas., Control (October,2018)
Related Proceedings Papers
Related Chapters
Study and Construction of Experiment Table of Drilling at Any Position of Rock Sample
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Introduction
Mechanics of Drillstrings and Marine Risers
Fabrication of Single Crystal Diamonds∕Cemented Carbide Composite Cutter for Rock Drilling
Geological Engineering: Proceedings of the 1 st International Conference (ICGE 2007)