Modeling well scheduling as a virtual enterprise with intelligent agents

Graham Lange, Fuhua Lin

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

    3 Citations (Scopus)

    Abstract

    In today's intensive competitive environment in the oil and gas industry, it is important to increase efficiency in production through resource management and well scheduling (resource scheduling, for short). However, resource scheduling has been a challenge for oil and gas companies for many years because it is influenced by a number of factors including environment, regulations, stakeholders, finances, the market, and approaches to determine and plan daily schedulable tasks This paper proposes a new approach to modeling well scheduling processes in oil and gas industry using the notion of virtual enterprise with intelligent agents and contract net protocol in multiagent systems technologies. This model will lead to a flexible well scheduling application that will assist in the scheduling of resources across the well lifecycle. We show the effectiveness of the approach by implementing an experimental system and giving a case study.

    Original languageEnglish
    Title of host publicationProceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
    EditorsXingang Liu, Didier El Baz, Ching-Hsien Hsu, Kai Kang, Weifeng Chen
    Pages89-96
    Number of pages8
    ISBN (Electronic)9781479979813
    DOIs
    Publication statusPublished - 26 Jan. 2015
    Event17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014 - Chengdu, China
    Duration: 19 Dec. 201421 Dec. 2014

    Publication series

    NameProceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014

    Conference

    Conference17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
    Country/TerritoryChina
    CityChengdu
    Period19/12/1421/12/14

    Keywords

    • Business process modeling
    • Multiagent systems
    • Oil and gas
    • Supply chain management
    • Virtual enterprise
    • Well scheduling

    Fingerprint

    Dive into the research topics of 'Modeling well scheduling as a virtual enterprise with intelligent agents'. Together they form a unique fingerprint.

    Cite this