EGU26-12110, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-12110
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
PICO | Tuesday, 05 May, 08:53–08:55 (CEST)
 
PICO spot 4, PICO4.8
Dynamic Modeling and Performance Analysis of a Self-Balancing Drill Hoisting System for Efficient Resource Development
Wei Song
Wei Song
  • Jilin University, Changchun, China (1478102388@qq.com)

Driven by the goals of sustainable development, resource development demands drilling technologies with high efficiency and low energy consumption. Scientific drilling, as a key tool for accessing subsurface resources and geoscientific information, relies on energy-efficient drilling systems to achieve sustainable resource exploitation. In response, this study presents a self-balancing drilling rig hoisting system that surpasses conventional rigs in both drilling efficiency and operational stability while significantly reducing energy consumption. To characterize the dynamic performance of this rig’s hoisting system, a mathematical model was developed through theoretical analysis and validated via numerical simulation. The results demonstrate that using the proposed system for tripping operations can increase efficiency by more than 40%, and the rig operates more stably than traditional systems. Moreover, the self-balancing rig hoisting system employs two coordinated traveling-block systems to achieve self-balance against the reaction torque generated by the winch, while effectively recovering and utilizing the gravitational potential energy released during drill stem lowering. These findings provide a novel approach to improving drilling efficiency and reducing energy consumption, with significant engineering implications and theoretical value for the development of high-efficiency, energy-saving drilling operations.

How to cite: Song, W.: Dynamic Modeling and Performance Analysis of a Self-Balancing Drill Hoisting System for Efficient Resource Development, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12110, https://doi.org/10.5194/egusphere-egu26-12110, 2026.