Abstract
The paper is dedicated to the organization of agent’s communities for cloud service of decision support system for the oil producing enterprise. There are the architecture of cloud service. An approach to the formation of communities of cloud service agents is proposed. An algorithm for creating communities of cloud service agents is considered. The results of experimental studies are presented. The results confirm the operability and effectiveness of the proposed approach.
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References
Shah, D.O.: Improved Oil Recovery by Surfactant and Polymer Flooding. Elsevier, New York (2012)
Morrow, N., Buckley, J., et al.: Improved oil recovery by low-salinity waterflooding. J. Pet. Technol. 63, 106–112 (2011)
Sorbie, K.S.: Polymer-Improved Oil Recovery. Springer, Heidelberg (2013)
Lake, L.W., Johns, R.T., Rossen, W.R., Pope, G.A.: Fundamentals of Enhanced Oil Recovery (2014)
Sheng, J.J.: Enhanced oil recovery in shale reservoirs by gas injection. J. Nat. Gas Sci. Eng. 22, 252–259 (2015)
Tao, F., Zhang, L., Venkatesh, V.C., Luo, Y., Cheng, Y.: Cloud manufacturing: a computing and service-oriented manufacturing model. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 225, 1969–1976 (2011)
Bhardwaj, S., Jain, L., Jain, S.: Cloud computing: a study of infrastructure as a service (IAAS). Int. J. Eng. Inf. Technol. 2, 60–63 (2010)
Kalyaev, A.I., Kalyaev, I.A.: Method of multiagent scheduling of resources in cloud computing environments. J. Comput. Syst. Sci. Int. 55, 211–221 (2016)
Acknowledgement
The reported study was performed within the federal targeted program of the Ministry of Education and Science; the agreement’s ID RFMEFI57517X0152.
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Ivanov, D., Kapustyan, S., Kalyaev, A., Korovin, I. (2019). Decision Support Systems for the Oil Fields with Cloud Multiagent Service. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Computational Statistics and Mathematical Modeling Methods in Intelligent Systems. CoMeSySo 2019 2019. Advances in Intelligent Systems and Computing, vol 1047. Springer, Cham. https://doi.org/10.1007/978-3-030-31362-3_3
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DOI: https://doi.org/10.1007/978-3-030-31362-3_3
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Online ISBN: 978-3-030-31362-3
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