INTELLIGENT DIAGNOSTIC SYSTEM OF THE MOBILE DRILLING RIG HOISTING EQUIPMENTS

Authors

DOI:

https://doi.org/10.26906/znp.2022.58.3086

Keywords:

mobile drilling rig, diagnostic system, technical operation, maintenance, drilling line, brakes of the drawwork

Abstract

The hoist system and braking mechanism of the drilling drawwork of mobile drilling rigs have a significant safety impact on the technological process and its efficiency, and the economic component of their maintenance is significant during the life cycle of the rig. Recommendations have been developed for the formation of a list of controlled parameters for diagnostics of the traveling system (drilling line, hook block, crown block) and brakes of the drawwork. The functioning of such a diagnostic system makes it possible to describe the operational life cycle of the equipment, predict the condition of the equipment, develop mathematical models and maintenance strategies, evaluate their effectiveness and implement continuous improvement and adaptation of technical influences and use of the equipment taking into account its actual condition

References

Buchynskyi M.Ya. (2017). Basics of creating machines. Kharkiv: NTMT

Kryzhanivskyi Ye.I., Mironov Yu.V., Romanyshyn L.I. (2003). Mobile rig for drilling, workover and maintenance of wells. Ivano-Frankivsk: Torch

Buchynskyi A., Buchynskyi M., Vasylchenko M. (2022). Forecasting the technical efficiency of mobile workover rigs. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (5), 033-038

doi.org/10.33271/nvngu/2022-5/033

Voronych A., Zaiachuk Ya., Karpash M. (2019). Specialized Computer System Controlling the Technological Parameters of the Drilling Rig. Conference: 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM)

doi.org/10.1109/CADSM.2019.8779265

Wodecki J., Góralczyk M., Krot P., Ziętek B., Szrek Ja., Worsa-Kozak M., Zimroz R., Śliwiński P., Czajkowski A. (2020). Process Monitoring in Heavy Duty Drilling Rigs - Data Acquisition System and Cycle Identification Algorithms. Energies 13(24), 6748

doi.org/10.3390/en13246748

Junjiang H., Min L. (2017) Drilling Rig Hoisting Platform Security Monitoring System Design and Application. Machines, 5(3), 19

doi.org/10.3390/machines5030019

Yang L., Chi-Guhn L., Feiyun X. (2022). Multichannel intelligent fault diagnosis of hoisting system using differential search algorithm-variational mode decomposition and improved deep convolutional neural network. Structural Control Health Monitoring, 29(10)

https://doi.org/10.1002/stc.3023

Mehmeti Xh., Mehmeti B., Sejdiu Rr. (2018). The equipment maintenance management in manufacturing enterprises. IFAC-PapersOnLine 51(30), 800-802

doi.org/10.1016/j.ifacol.2018.11.192

Chiaka Okereke (2019). Equipment maintenance strategies on the viability of beverage industries in South-East Nigeria. Strategic Journal of Business and Social Science (SJBSS), 2, 105

Kyi Kyi Swe, Zar Chi Thaung, Kyaw Myat Moe. (2019). Maintenance Management Plan of Heavy Machinery. Iconic Research and Engineering Journals, 2, 28-36

href="https://www.academia.edu/43475688/Maintenance_Management_Plan_of_Heavy_Machinery">https://www.academia.edu/43475688/Maintenance_Management_Plan_of_Heavy_Machinery

Naji Amal, Beidouri Zitouni, Oumami Mohamed, Bouksour Otmane. (2016). Maintenance management and innovation in industries: a survey of Moroccan companies. International Journal of Innovation, 4(2), Retrieved from

/www.redalyc.org/articulo.oa?id=499151080014

Smith K. (2018). Centralised diagnostics aids transition to predictive maintenance. International Railway Journal. June 12

Kiianovskyi M.V., Dubrovskyi S.S. (2016). Research on the quality of maintenance and workover systems of MPP equipment. Mining Bulletin, 101, 126-130

http://iomining.in.ua/ua/homeua/journal/#2016

Ivashchenko V., Liakh M., Zhuravlov D., Mykhailiv V. (2017). Factors affecting the failure of the drilling line of drilling rigs. Oil and gas business. Prykarpatsky herald of the SCSh, 2(38), 291-299

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Published

2022-12-15

How to Cite

Buchynskyi, A., & Dorohobid, V. (2022). INTELLIGENT DIAGNOSTIC SYSTEM OF THE MOBILE DRILLING RIG HOISTING EQUIPMENTS. Збірник наукових праць Галузеве машинобудування будівництво Academic Journal Industrial Machine Building Civil Engineering, 1(58), 113–122. https://doi.org/10.26906/znp.2022.58.3086