Abstract
With the in-depth construction of the “digital pipeline”, the full pipeline system has digitally upgraded various systems through the use of advanced information networking technologies, such as the Internet of Things and mobile Internet, and gradually realized production automation, unattended operation valve room, flat management of the labor organizations architecture, digital pipeline construction has entered the stage of operation management and maintenance. However, the traditional manual maintenance and passive maintenance methods cannot satisfy the needs. It is urgently necessary to rationally plan, develop, and optimize the pipeline support system, and to use the big data technology to establish standardized and unified pipeline Internet of things protection system specifications and to create efficient intelligent management platform. The purpose is to achieve standardized, scientific, intelligent, and high-efficient pipeline operation and maintenance.
Copyright 2018, Shaanxi Petroleum Society.
This paper was prepared for presentation at the 2018 International Field Exploration and Development Conference in Xi’an, China, 18–20 September, 2018.
This paper was selected for presentation by the IFEDC Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the IFEDC Committee and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC Committee, its members. Papers presented at the Conference are subject to publication review by Professional Committee of Petroleum Engineering of Shaanxi Petroleum Society. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of Shaanxi Petroleum Society is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IFEDC. Contact email: paper@ifedc.org.
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References
Animah I, Shafiee M. Condition assessment, remaining useful life prediction and life extension decision making for offshore oil and gas assets. J Loss Prev Process Ind. 2018;53(Special Issue):17–28.
Moghaddass R, Ertekin S. Joint optimization of ordering and maintenance with condition monitoring data. Ann Oper Res. 2018;263(1–2, Special Issue):271–310.
Rafique D, Szyrkowiec T, Griesser H. Cognitive assurance architecture for optical network fault management. J Lightwave Technol. 2018;36(7):1443–450.
Tian J, Huang L, Big data analysis and simulation of distributed marine green energy resources grid-connected system. Pol Marit. Res. 2017;24(Special Issue):182–91.
Zhang Y, Ren S, Liu Y. A framework for Big Data driven product lifecycle 577–591 management. J Cleaner Prod. 2017;159:229–240.
Zhang D. High-speed train control system Big Data analysis based on fuzzy RDF model and uncertain reasoning. Int J Comput Commun. Control.2017;12(4):577–91.
Zhang Y, Ren S, Liu Y, Sakao T, Huisingh H. A framework for Big Data driven product lifecycle management. 2017.
Liang Q. Design and application of integrated operation and maintenance management system for Shengli oil field. China New Commun. 2018;(1):151.
Zhang Y, Jing Y, Li Z, Liu H. Deepening application of IT operation and maintenance management platform in Dagang oilfield. Comput Knowl Technol. 2015;11(7):204–05.
Wang B, Mao J, Sun S, Kang L, Shi X. Research on the intelligent operation and maintenance system of oil and gas production iPES-PE. Digital Des. 2017;(1):32–6.
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Wang, HB., Liu, DC., Meng, Y. (2020). Innovative Application of Big Data Technology in Southwest Pipeline Information System. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2018. IFEDC 2018. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-7127-1_60
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DOI: https://doi.org/10.1007/978-981-13-7127-1_60
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