Skip to main content
Log in

Morphology of deep-sea mining hydraulic conveying pipeline and its influencing laws in marine dynamic environment

海洋动力环境下深海采矿水力输送管道的空间构型及其变化规律

  • Published:
Journal of Central South University Aims and scope Submit manuscript

Abstract

The hydraulic lifting pipeline, one of the key components of the slurry pump hydraulic lifting system, is taken as the research object in the paper. Based on the static characteristics of the hydraulic conveying pipeline, the spatial three-dimensional model of the hose is obtained. A geometric non-linear finite element model of the hydraulic lifting pipeline was established, and the static displacement of the hydraulic lifting pipeline under steady state was numerically simulated. The static characteristics of the pipeline were obtained, when the mining machine position, ocean current velocity and wave level were different. The numerical simulation of the response of the hydraulic lifting pipeline under dynamic excitation was performed, and the flow characteristics of the flow field in the pipeline under wave loading were obtained. A solid-liquid two-phase flow control equation for a slurry pump based on the Euler model is established, and the solid-liquid two-phase fluid in the hose is numerically simulated. The results show that the change of the position of the mining machine has little effect on the lateral displacement and bending stress of the hard tube, but has large impact on the pressure distribution, solid-phase velocity field distribution and pressure loss in the pipeline. The change of the ocean current has little effect on the spatial shape of the hose and the lateral displacement of the hard tube, but has great impact on the pressure loss in the pipeline. The wave level has great influence on the spatial shape of the hose and the lateral displacement of the hard tube. The pressure loss caused by changes in ocean current and wave level can be reduced by changing the position of the mining machine.

摘要

本文以矿浆泵水力提升系统的关键部件——水力提升管道为研究对象, 建立了水力提升管道的几何非线性有限元模型, 对水力提升管道在稳态下的静态特性进行了数值模拟. 基于水力输送管道的静态特性, 研究了软管的三维空间构型和海洋动力环境下管道内流场的流动特性. 建立了基于欧拉模型的矿浆泵固-液两相流控制方程, 并对软管中的固-液两相流进行了数值模拟. 研究结果表明, 集矿机位置变化对硬管的横向位移和弯曲应力影响较小, 但对管道内流场的压力分布、 固相速度分布和压力损失影响较大; 洋流流速的变化对软管的空间构型和硬管的横向位移影响较小, 但对管道内流场的压力损失影响较大; 风浪等级对软管的空间构型和硬管的横向位移有较大影响, 可以通过改变集矿机的位置来减少因洋流和风浪等级变化而引起的压力损失.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. SEEDHOUSE E. Deep-sea mining and energy exploitation [M]// Ocean Outpost. New York, NY: Springer New York, 2010: 127–140. DOI: https://doi.org/10.1007/978-1-4419-6357-4_7.

    Google Scholar 

  2. DUMKE I, NORNES S M, PURSER A, et al. First hyperspectral imaging survey of the deep seafloor: High-resolution mapping of manganese nodules [J]. Remote Sensing of Environment, 2018, 209: 19–30. DOI: https://doi.org/10.1016/j.rse.2018.02.024.

    Article  Google Scholar 

  3. RAHUL S. Deep-sea mining: Resource potential, technical and environmental considerations [M]. Cham: Springer International Publishing, 2017. DOI: https://doi.org/10.1007/978-3-319-52557-0.

    Google Scholar 

  4. HOAGLAND P, BEAULIEU S, TIVEY M A, et al. Deep-sea mining of seafloor massive sulfides [J]. Marine Policy, 2010, 34(3): 728–732. DOI: https://doi.org/10.1016/j.marpol.2009.12.001.

    Article  Google Scholar 

  5. XU Hai-liang, HE Qing-hua. Deep-sea mining transporting equipment combined single pump and ore tank [J]. Journal of Central South University of Technology (Natural Science), 2005, 36(1): 92–96. (in Chinese)

    Google Scholar 

  6. LIU Shao-jun, WEN Hao, ZOU Wei-sheng, et al. Deep-sea mining pump wear prediction using numerical two-phase flow simulation [C]//2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). Changsha, China: IEEE, 2019: 630–636. DOI: https://doi.org/10.1109/ICITBS.2019.00157.

    Google Scholar 

  7. SHARMA R. Deep-sea mining: Current status and future considerations [M]// SHARMA R. Deep-Sea Mining. Cham: Springer International Publishing, 2017. DOI: https://doi.org/10.1007/978-3-319-52557-0_1.

    Chapter  Google Scholar 

  8. NI Jia, LIU Shao-jun, WANG Ming-feng, et al. The simulation research on passive heave compensation system for deep sea mining [C]// 2009 International Conference on Mechatronics and Automation. Changchun: IEEE, 2009: 5111–5116. DOI: https://doi.org/10.1109/ICMA.2009.5246165.

    Google Scholar 

  9. NATH B N, SHARMA R. Environment and deep-sea mining: A perspective [J]. Marine Georesources & Geotechnology, 2000, 18(3): 285–294. DOI: https://doi.org/10.1080/10641190009353796.

    Article  Google Scholar 

  10. CHUNG J S, CHENG B. MSE and FEM modeling of thrusts to elastic joints of long vertical pipe in 3-D nonlinear motions [J]. International Journal of Offshore and Polar Engineering, 1999, 9(2): ISOPE–99–09–2–117.

    Google Scholar 

  11. SAW V K, GUDALA M, UDAYABHANU G, et al. Kinetics of methane hydrate formation and its dissociation in presence of non-ionic surfactant Tergitol [J]. Journal of Unconventional Oil and Gas Resources, 2014, 6: 54–59. DOI: https://doi.org/10.1016/j.juogr.2013.07.001.

    Article  Google Scholar 

  12. LAREO C, NEDDERMAN R M, FRYER P J. Particle velocity profiles for solid-liquid food flows in vertical pipes part II. Multiple particles [J]. Powder Technology, 1997, 93(1): 35–45. DOI: https://doi.org/10.1016/S0032-5910(97)03244-0.

    Article  Google Scholar 

  13. GLASBY G P, LI Jun, SUN Zhi-lei. Deep-sea nodules and co-rich Mn crusts [J]. Marine Georesources & Geotechnology, 2015, 33(1): 72–78. DOI: https://doi.org/10.1080/1064119x.2013.784838.

    Article  Google Scholar 

  14. XIA J, CAO B, ZOU Y. Water-hammer pressure in hydraulic lifting pipeline of deep sea mining system [J]. Mechanics in Engineering, 2015, 37(5): 603–606. DOI: https://doi.org/10.6052/1000-0879-14-389

    Google Scholar 

  15. CAI Jia-xiang, LIN Xiong-wei, CHEN Dao-yi, et al. Design and application of an in situ particle observation system in deep sea [J]. The Ocean Engineering, 2015, 33(4): 68–78. DOI: https://doi.org/10.16483/j.issn.1005-9865.2015.04.009. (in Chinese)

    Google Scholar 

  16. ZHAO Hai-ming, JI Ya-qian, HONG Yu-jiu, et al. A Volterra series-based method for extracting target echoes in the seafloor mining environment [J]. Ultrasonics, 2016, 71: 29–39. DOI: https://doi.org/10.1016/j.ultras.2016.05.019.

    Article  Google Scholar 

  17. MA Li-qiang, JIN Zhi-yuan, LIANG Ji-meng, et al. Simulation of water resource loss in short-distance coal seams disturbed by repeated mining [J]. Environmental Earth Sciences, 2015, 74(7): 5653–5662. DOI: https://doi.org/10.1007/s12665-015-4581-6.

    Article  Google Scholar 

  18. HARI V N, KALYAN B, CHITRE M, et al. Spatial modeling of deep-sea ferromanganese nodules with limited data using neural networks [J]. IEEE Journal of Oceanic Engineering, 2018, 43(4): 997–1014. DOI: https://doi.org/10.1109/JOE.2017.2752757.

    Article  Google Scholar 

  19. ZHANG L, TIJSSELING S A, VARDY E A. Fsi analysis of liquid-filled pipes [J]. Journal of Sound and Vibration, 1999, 224(1): 69–99. DOI: https://doi.org/10.1006/jsvi.1999.2158.

    Article  Google Scholar 

  20. XU Hai-liang. Research on the pump-vessel combined ore lifting equipment for deep-sea rigid pipe mining system [J]. Journal of Offshore Mechanics and Arctic Engineering, 2008, 130(1): 1. DOI: https://doi.org/10.1115/1.2427070.

    Google Scholar 

  21. XIA J X, NI J R, MENDOZA C. Hydraulic lifting of manganese nodules through a riser [J]. Journal of Offshore Mechanics and Arctic Engineering, 2004, 126(1): 72–77. DOI: https://doi.org/10.1115/1.1641385.

    Article  Google Scholar 

  22. MALONE K, PESCH S, SCHLÜTER M, et al. Oil droplet size distributions in deep-sea blowouts: Influence of pressure and dissolved gases [J]. Environmental Science & Technology, 2018, 52(11): 6326–6333. DOI: https://doi.org/10.1021/acs.est.8b00587.

    Article  Google Scholar 

  23. ZHAO Hui, QIU Wei-ting, QU Wei-lu. Countermeasure study on deep-sea oil exploitation in the South China Sea—A comparison between deep-sea oil exploitation in the South China Sea and the gulf of Mexico [J]. IOP Conference Series: Earth and Environmental Science, 2018, 113: 012139. DOI: https://doi.org/10.1088/1755-1315/113/1/012139.

    Google Scholar 

  24. WANG Lei, HUANG Rong-hui, WU Ren-guang. Interdecadal variability in tropical cyclone frequency over the South China Sea and its association with the Indian Ocean Sea surface temperature [J]. Geophysical Research Letters, 2013, 40(4): 768–771. DOI: https://doi.org/10.1002/grl.50171.

    Article  Google Scholar 

  25. XU Hai-liang, CHEN Wei, HU Wen-gang. Hydraulic transport flow law of natural gas hydrate pipeline under marine dynamic environment [J]. Engineering Applications of Computational Fluid Mechanics, 2020, 14(1): 507–521. DOI: https://doi.org/10.1080/19942060.2020.1727774.

    Article  Google Scholar 

  26. WANG Nai-wen. Quaternary geology and environment of China [J]. Palaeogeography, Palaeoclimatology, Palaeoecology, 1987, 59: 329–330. DOI: https://doi.org/10.1016/0031-0182(87)90095-2.

    Article  Google Scholar 

  27. LU Wen-zheng. Characteristics of the distribution and control factors of polymetallic nodules in the west region of CCFZ (China pioneer area) [J]. Engineering Sciences, 2004, 2(2): 12–14, 32. (in Chinese)

    Google Scholar 

  28. Tenth Five-Year Plan Mining Sea Trial System Chief Engineer Group. Ocean polymetallic nodule pilot test mining system 1000 m sea trial overall system technical design [R]. Beijing: China Ocean Research Association Report, 2004. (in Chinese)

    Google Scholar 

  29. CHEN Wei, XU Hai-liang, KONG Wei-yang, et al. Study on three-phase flow characteristics of natural gas hydrate pipeline transmission [J]. Ocean Engineering, 2020, 214: 107727. DOI: https://doi.org/10.1016/j.oceaneng.2020.107727.

    Article  Google Scholar 

  30. MAKOGON Y F. Natural gas hydrates—A promising source of energy [J]. Journal of Natural Gas Science and Engineering, 2010, 2(1): 49–59. DOI: https://doi.org/10.1016/j.jngse.2009.12.004.

    Article  Google Scholar 

  31. RAJNAUTH J, BARRUFET M. Monetizing gas: Focusing on developments in gas hydrate as a mode of transportation [J]. Energy Science and Technology, 2012(4): 61–68. DOI: https://doi.org/10.3968/J.EST.1923847920120402.569.

  32. PAÏDOUSSIS M P, ISSID N T. Dynamic stability of pipes conveying fluid [J]. Journal of Sound and Vibration, 1974, 33(3): 267–294. DOI: https://doi.org/10.1016/S0022-460X(74)80002-7.

    Article  Google Scholar 

  33. HEYWOOD N, ALDERMAN N. Developments in slurry pipeline technologies [J]. Chemical Engineering Progress, 2003, 99: 36–43.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

The overarching research goals were developed by XU Hai-liang, CHEN Wei, LI Li and YANG Fang-qiong. XU Hai-liang provided the calculation model and calculation data. CHEN Wei wrote the manuscript, established a numerical model and performed numerical simulations. LI Li and YANG Fang-qiong built an experimental analysis platform and verified the numerical results. All authors replied to reviewers comments and revised the final version.

Corresponding author

Correspondence to Wei Chen  (陈卫).

Ethics declarations

XU Hai-liang, CHEN Wei, LI Li and YANG Fang-qiong declare that they have no conflict of interest.

Additional information

Foundation item: Projects(51775561, 52006061) supported by the National Natural Science Foundation of China; Projects(20B327, 18A419) supported by the Hunan Provincial Department of Education, China; Project(2018JJ2522) supported by the Natural Science Fund of Hunan Province, China; Projects(2019SK2192, 2020NK2063) supported by the Hunan Province Key Research and Development Program, China; Project(XSKJ2019081-56) supported by the Science and Technology Project of Hunan Provincial Water Resources Department, China

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, Hl., Chen, W., Li, L. et al. Morphology of deep-sea mining hydraulic conveying pipeline and its influencing laws in marine dynamic environment. J. Cent. South Univ. 30, 3790–3807 (2023). https://doi.org/10.1007/s11771-022-5032-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11771-022-5032-7

Key words

关键词

Navigation