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Decision Support Systems for the Oil Fields with Cloud Multiagent Service

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Computational Statistics and Mathematical Modeling Methods in Intelligent Systems (CoMeSySo 2019 2019)

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

  1. Shah, D.O.: Improved Oil Recovery by Surfactant and Polymer Flooding. Elsevier, New York (2012)

    Google Scholar 

  2. Morrow, N., Buckley, J., et al.: Improved oil recovery by low-salinity waterflooding. J. Pet. Technol. 63, 106–112 (2011)

    Article  Google Scholar 

  3. Sorbie, K.S.: Polymer-Improved Oil Recovery. Springer, Heidelberg (2013)

    Google Scholar 

  4. Lake, L.W., Johns, R.T., Rossen, W.R., Pope, G.A.: Fundamentals of Enhanced Oil Recovery (2014)

    Google Scholar 

  5. Sheng, J.J.: Enhanced oil recovery in shale reservoirs by gas injection. J. Nat. Gas Sci. Eng. 22, 252–259 (2015)

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. 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)

    Google Scholar 

  8. 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)

    Article  Google Scholar 

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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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Correspondence to Donat Ivanov .

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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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