Abstract
As core of back-end system of digital oilfield framework, Reservoir Decision-Making Supporting System (RDMS) of Changqing Oilfield Company contains variety of databases, softwares, and large amount of users. The management of hardware, software resources, and IT operations faces new challenges. Due to difficulties above, a working mentality of RDMS cloud service center is proposed according to the advantage of could computing in system infrastructure, user desktop, and data storage. Based on recent RDMS resource situation, the center mainly focuses on establishment of cloud computing resource pool, virtual desktop access, and cloud storage. Besides, application in the field conveys that utilization ratio of hardware increases from 10 to 70%, bearing capacity improves three times, as well as it greatly improves the implementation efficiency of RDMS software. Problems such as low utilization ratio of hardware resources, fussy initialization of RDMS plug-ins, and security of intermediate outcomes storage are solved. In the meanwhile, cloud service center realizes centralized management of hardware resource, dynamic allocation of users’ need, unity of program development, integrated application of professional softwares. Finally, technical support of cloud computing facilitation in other oilfield business area is provided.
Copyright 2017, Shaanxi Petroleum Society.
This paper was prepared for presentation at the 2017 International Petroleum and Petrochemical Technology Conference in Beijing, China, 20–22 March, 2017.
This paper was selected for presentation by the IFEDC&IPPTC 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&IPPTC Committee and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC&IPPTC 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&IPPTC. Contact email: paper@ifedc.org or paper@ipptc.org.
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Jiao, Y., Shi, Y., Wang, J., Xie, S., Liang, L. (2019). Research and Application of Digital Oilfield Cloud Computing. In: Qu, Z., Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2017. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7560-5_54
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DOI: https://doi.org/10.1007/978-981-10-7560-5_54
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