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
Link To Document