• DocumentCode
    2384241
  • Title

    Integrate C&P Operation Enabling Systems Using Reference Semantic Model

  • Author

    Zhou, Zhi Yuan ; Wang, Qiang ; Wells, Keith

  • Author_Institution
    Software Dev. Lab., IBM China, Beijing, China
  • fYear
    2010
  • fDate
    10-12 Nov. 2010
  • Firstpage
    105
  • Lastpage
    110
  • Abstract
    The chemical and petroleum (oil and gas, C&P) is a fast growing and diversified industry. Various applications, from field technique equipment data exchange to business execution with Enterprise Resource Planning (ERP) system, have been deployed to manage and record operation performance. Various industry standards have been defined to create a commonly accepted nomenclature for representing structural and operational aspects of oil and gas enterprises. All of these industry standards represent valuable sources of information and industry best practice, which is accepted by large community and helps enterprise building IT systems in flexible and inter-operable way. However, the overlaps and gaps between standards bring inconsistency for implementation. This article introduces Reference Semantic Model (RSM), a key component of IBM C&P solution and basis of C&P integration framework, which pull together concepts from various standards using a semantic modeling approach, fill gaps and build bridge between the standards, and presents a uniform information model with rich context quantity for C&P enterprises. It then brought up a RSM based model driven integration solution for solving typical C&P system integration problem, which is flexible, interoperable and standards implemented.
  • Keywords
    chemical industry; enterprise resource planning; gas industry; manufacturing data processing; petroleum industry; C&P integration framework; ERP system; IBM C&P solution; IT system; business execution; chemical industry; enterprise resource planning; equipment data exchange; gas enterprises; gas industry; industry best practice; industry standards; interoperability; oil enterprises; oil industry; operation performance management; operation performance recording; petroleum industry; reference semantic model; Adaptation model; Context modeling; Data models; Object oriented modeling; Petroleum; Standards; Unified modeling language; C&P; Integration; RSM; Reference Semantic Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering (ICEBE), 2010 IEEE 7th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8386-0
  • Electronic_ISBN
    978-0-7695-4227-0
  • Type

    conf

  • DOI
    10.1109/ICEBE.2010.60
  • Filename
    5704282