Development of an intelligent drilling cuttings method drill rig for addressing suction and sticking phenomena: Field experiment

During the operation of the drilling cuttings method, frequent occurrences of suction and sticking phenomena lead to the loss of drilling tools and failure to achieve the designed borehole depth. resulting in inaccurate risk assessment for coal seam rockbursts. To address these challenges, a mechanical analysis of cuttings transport via the spiral drill pipe was conducted. This analysis identified the primary factors contributing to suction and sticking phenomena in spiral drill pipes and proposed a targeted approach for mitigating these issues. Based on this analysis, an intelligent drilling cuttings method drill rig (IDCMDR) was developed, and field experiments were conducted. The experimental results demonstrate that when suction occurs, adjusting the rotational and drilling speeds of the IDCMDR effectively controls the phenomenon. When sticking occurs, the stuck drill pipe can be addressed by injecting high-pressure gas into the borehole bottom through the hollow structure of the spiral drill pipe or by reversing its rotation. During operation, characteristic patterns in the needle movements of the thrust and torque hydraulic gauges on the IDCMDR enable the identification of suction and sticking phenomena. The development and field validation of the IDCMDR confirm the feasibility of the theoretically proposed mitigation methods.

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Publication Details

Journal
International Journal of Mining Science and Technology
Published
2026-05-01
DOI
https://doi.org/10.1016/j.ijmst.2026.04.004
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of an intelligent drilling cuttings method drill rig for addressing suction and sticking phenomena: Field experiment

Aiwen Wang, Lei Cui, Yishan Pan, Shengliang Lu et al.
International Journal of Mining Science and Technology
Drilling and Well Engineering
article

Development of an intelligent drilling cuttings method drill rig for addressing suction and sticking phenomena: Field experiment

Aiwen Wang, Lei Cui, Yishan Pan, Shengliang Lu, Lianpeng Dai, Jianzuo Zhang, Cancan Liu
article en

Abstract

During the operation of the drilling cuttings method, frequent occurrences of suction and sticking phenomena lead to the loss of drilling tools and failure to achieve the designed borehole depth. resulting in inaccurate risk assessment for coal seam rockbursts. To address these challenges, a mechanical analysis of cuttings transport via the spiral drill pipe was conducted. This analysis identified the primary factors contributing to suction and sticking phenomena in spiral drill pipes and proposed a targeted approach for mitigating these issues. Based on this analysis, an intelligent drilling cuttings method drill rig (IDCMDR) was developed, and field experiments were conducted. The experimental results demonstrate that when suction occurs, adjusting the rotational and drilling speeds of the IDCMDR effectively controls the phenomenon. When sticking occurs, the stuck drill pipe can be addressed by injecting high-pressure gas into the borehole bottom through the hollow structure of the spiral drill pipe or by reversing its rotation. During operation, characteristic patterns in the needle movements of the thrust and torque hydraulic gauges on the IDCMDR enable the identification of suction and sticking phenomena. The development and field validation of the IDCMDR confirm the feasibility of the theoretically proposed mitigation methods.

International Journal of Mining Science and Technology
Liaoning University (CN), Liaoning Technical University (CN), China Coal Technology and Engineering Group Corp (China) (CN), Northeastern University (CN)
National Natural Science Foundation of China, Northeastern University, Liaoning University
Climate action
Openalex Percentile: Top 9%
Drilling and Well Engineering
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Development of an intelligent drilling cuttings method drill rig for addressing suction and sticking phenomena: Field experiment — Aiwen Wang, Lei Cui, et al. · International Journal of Mining Science and Technology (2026) | TGRS Research Map | TGRS