深海保压取心球阀驱动力影响机理与预测模型

秦如雷; 卢秋平; 谢文卫; 于彦江; 许本冲; 高洁云

doi:10.3799/dqkx.2025.205

Volume 51 Issue 8

Aug. 2026

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Article Navigation > Earth Science > 2026 > 51(8): 3201-3212

Qin Rulei, Lu Qiuping, Xie Wenwei, Yu Yanjiang, Xu Benchong, Gao Jieyun, 2026. Mechanisms and Predictive Modeling of Ball-Valve Actuating force in Pressure-Preserved Coring Tools. Earth Science, 51(8): 3201-3212. doi: 10.3799/dqkx.2025.205

Citation:

Qin Rulei, Lu Qiuping, Xie Wenwei, Yu Yanjiang, Xu Benchong, Gao Jieyun, 2026. Mechanisms and Predictive Modeling of Ball-Valve Actuating force in Pressure-Preserved Coring Tools. Earth Science, 51(8): 3201-3212. doi: 10.3799/dqkx.2025.205

Citation:

Qin Rulei, Lu Qiuping, Xie Wenwei, Yu Yanjiang, Xu Benchong, Gao Jieyun, 2026. Mechanisms and Predictive Modeling of Ball-Valve Actuating force in Pressure-Preserved Coring Tools. Earth Science, 51(8): 3201-3212. doi: 10.3799/dqkx.2025.205

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Mechanisms and Predictive Modeling of Ball-Valve Actuating force in Pressure-Preserved Coring Tools

doi: 10.3799/dqkx.2025.205

Qin Rulei^{1, 2
,
,},
Lu Qiuping^{3
,
,
,},
Xie Wenwei³,
Yu Yanjiang³,
Xu Benchong^{1, 2},
Gao Jieyun^{1, 2}

1.
Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Tianjin 300300, China
2.
Technology Innovation Center for Directional Drilling Engineering, Ministry of Natural Resources, Tianjin 300300, China
3.
Guangzhou Marine Geological Survey, Guangzhou 511458, China

Received Date: 2026-06-03
Publish Date: 2026-08-25

Abstract

Abstract

Pressure-Preserved Coring Tools are critical to deep-sea resource assessment and development, and the closure performance of their sealing ball valve directly determines the success of acquiring in situ core samples. Addressing the difficulty of accurately quantifying the ball-valve actuating force under multi-variable interaction effects, this study integrates experiments with machine learning to achieve quantitative prediction across multiple factors. Through comprehensive factorial experiments, we obtain driving-force data under multi-level operating conditions involving temperature, seal-ring type, and lubricant viscosity, and systematically analyze main effects and interactions. The results indicate that lubricant viscosity is the primary influencing factor, exhibiting strong coupling with temperature. Building on these findings, we employ data-augmentation techniques and a gradient boosting regressor to construct a multi-factor prediction model. The model attains an R² exceeding 0.99, and quantitative feature-importance analysis yields a ranking consistent with experimental trends, validating the effectiveness of the approach. The results provide a reliable basis for the optimized design and materials selection of sealing systems in deep-sea Pressure-Preserved Coring Tools.
- deep sea drilling,
- pressure-preserved coring,
- ball valve actuating force,
- multi-variable interaction effects,
- machine learning

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References(42)

References

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Mechanisms and Predictive Modeling of Ball-Valve Actuating force in Pressure-Preserved Coring Tools

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