During drilling operations, rock-bit interactions may cause a wide range of undesirable system vibrations. The induced vibrations subsequently reduce drilling efficiency and increase fatigue loads acting on drill bit. In this paper, a coupled torsional and axial drilling model is proposed. It can be used to predict the vibrations including bit bounce and stick-slip. Instead of using finite element (FEM) approach, the drill pipe is accurately modeled based on wave propagation theory. This results in time-delay equations in time domain and significantly reduces the computational complexity associated with FEM. The axial and torsional motions are coupled by bit-rock interactions. Different rock-bit interaction conditions are considered based on bit rotation and contact with formation. Simulations are conducted using the proposed model to analyze the impact of different applied weights on bit and surface rotary speeds on the system vibrations. This information provides insights into optimization of drilling operation.
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ASME 2015 Dynamic Systems and Control Conference
October 28–30, 2015
Columbus, Ohio, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5725-0
PROCEEDINGS PAPER
Modeling of Coupled Axial and Torsional Motions of a Drilling System
Zheren Ma,
Zheren Ma
University of Texas at Austin, Austin, TX
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Dongmei Chen
Dongmei Chen
University of Texas at Austin, Austin, TX
Search for other works by this author on:
Zheren Ma
University of Texas at Austin, Austin, TX
Dongmei Chen
University of Texas at Austin, Austin, TX
Paper No:
DSCC2015-9939, V002T20A005; 7 pages
Published Online:
January 12, 2016
Citation
Ma, Z, & Chen, D. "Modeling of Coupled Axial and Torsional Motions of a Drilling System." Proceedings of the ASME 2015 Dynamic Systems and Control Conference. Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications. Columbus, Ohio, USA. October 28–30, 2015. V002T20A005. ASME. https://doi.org/10.1115/DSCC2015-9939
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