The public sector and integrated operations


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The public sector and the industry has common data challenges
Semantic Web
Information and knowledge management
The Semantic Days conference
Semantic Network

OLF’s Integrated Operations
Generation 1 and 2
Way of working
Achieving generation 2
Importance of data
Reference IT architecture

POSC Caesar Association (PCA)

E&P Information Management (EPIM)

Summing up

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The public sector and integrated operations

  1. 1. The Public Sector and Integrated Operations Dr. Thore Langeland Manager IO, OLF October 22, 2010 +47-90951756
  2. 2. Agenda   The public sector and the industry has common data challenges   Semantic Web   Information and knowledge management   The Semantic Days conference   Semantic Network   OLF’s Integrated Operations   Generation 1 and 2   Way of working   Achieving generation 2 o  Repository o  Importance of data o  Ontology o  Reference IT architecture   POSC Caesar Association (PCA)   E&P Information Management (EPIM)   Summing up 2
  3. 3. The public sector and the industry have common data challenges
  4. 4. Semantic Web “Here in the early part of the 21st century, the Web is still in its infancy and the scope of unsolved digital data challenges is simply enormous. To many in the software industry, myself included, it seems inevitable that the next great Web revolution must address these universal acknowledged data problems. The Semantic Web is a revolutionary path forward for data processing and metadata specifications, it will have an exceptionally broad impact on every aspect of all types of software.” Semantic Web is build on two languages (Recommended 2004): •  Resource Definition Framework (RDF) •  Web Ontology Language (OWL) Semantic Web of today has scaling issues Web generations: Web 1.0 Documents Web 2.0 Human (Facebook, Utube, Twitter, LinkedIn, …) Web 3.0 Software (Semantic Web) (2010-2020?) Web 4.0 Operating system for applications Jeffrey T. Pollock in “Semantic Web for Dummies”, 2009. 4
  5. 5. Information and knowledge workers There is a huge lack competence in semantics. Organizations with some competence   Det Norske Veritas   Computas   University of Oslo   POSC Caesar Association (PCA)   Statoil   SINTEF   Vestlandsforskning   University of Stavanger   .   … 5 Future information workers   Business analysts   Corporate librarians   Information architects   Taxonomists   Ontologists   Data stewards   Database architects
  6. 6. Semantic Days conferences – 2006-2011 Board of Directors University of Oslo Norwegian Armed Forces Brønnøysund Registers TEKNA POSC Caesar Association (PCA) E&P Information Management (EPIM) OLF Advisory Board Chair Professor Arild Waaler, UiO Program Committee Chair David Norheim, Computas Co-Chair Jan Richard Sagli, Statoil Public sector Chair Terje Grimstad, Karde •  Difi •  Skattedirektoratet •  Helse •  Brønnøysund Registrene Industry Chair Frederic Verhelst, Epsis Research and education Chair Demitri Roman, Sintef Secretariat General Manager Nils Sandsmark, PCA 6 Semantic Days is an international yearly conference where the public sector and the industry for 5 years have addressed open data and collaboration together with research institutions and universities. Next year conference: Semantic Days 2011, June 7-9, 2011, Oslo Title: Open up your data Formal invitation to the Minister of Government Administration, Reform and Church Affairs (FAD) to open the conference will be sent.
  7. 7. Jon Atle Gulla, Professor, NTNU Chunming Rong, Professor, UiS Arild Waaler, Professor, UiO ISO 15926 and Semantic Technologies Network sponsor by GDF SUEZ E&P Norge Tromsø Trondheim Sogndal Bergen Oslo Stavanger Kristiandsand 12 6 19 24 256 62 ° 60° 58° T rondheim Kristiansund Ber gen Oslo Stavanger Harstad 5 5 10 15 16 17 18 26 27 32 31 29 3433 35 6202 6203 6204 6205 36 70 14 12 10 20 22 ° 24 26 ° 18 16 72 74 7120 7122 67 65 6 ° Rolf Nossum, Professor, UiA Andreas L. Opdahl, Professor, UiB Anders Andersen, Associate Professor, UiTrø Terje Aaberge, Vestlandsforsking
  8. 8. OLF’s Integrated Operations
  9. 9. Bergen! Trondheim! Aberdeen" Control room External experts External experts Collaboration rooms Stavanger" Integrated Operations A new and more cost-efficient, ICT supported operation concept Operator’s onshore operation centre Better and faster decisions Streamlined delivery chains Vendor’s onshore operation centre Real time data
  10. 10. 10 Integrated Operations (IO) Generation 1 and 2 Time 2010 20152005 Generation 1 • Integrated onshore and offshore centers • Continuous onshore support Integration across onshore and offshore Traditional processes • Self-sustainable fields • Specialized onshore units • Periodic onshore support Limited integration Generation 2 • Integrated operation centers of operators and vendors • Heavily automated processes • 24/7 operation Integration across companies Potential IO has a potential of NOK 300 billions on the NCS IO is real time data onshore from offshore fields and new integrated work processes
  11. 11. 11 Integrated Work Processes Areas addressed by OLF Fiber cable Integrated operation centers ©© Operators Vendors Communication Data Quality Potential & consequences Digital Services Floater Oil platform Subsea I. The information highway II.  Awareness III. Knowledge industry IV. Overall business case Information security R&D on competence and digital products and services Sensors
  12. 12. Organization established Steering Group Integrated Operations Implemetations Quality Information Information Security Digital Infrastructure Communication Consultants Potential & consequences R&D and competence Requirements Requirements Requirements OpportunitiesOpportunitiesOpportunities
  13. 13. Information Strategy for IO Vendor Vendor Smarter data Field data Health, safety, environment Seismic Drilling & Completion Reservoir & production Operation & maintenance Logistics Transportation Common XML schemas Smarter solutions Operator Web portals Web services Semantic Web Infrastructure for web services Oil & Gas Ontology1) Based on ISO 15926 An efficient pipeline for real-time data transfer 1)Ontology = A hierarchical data structure containing concepts, relationships, properties and rules for a specific domain
  14. 14. Information sharing Repository Work ProcessSOURC E Well defined data according to ISO 15926
  15. 15. Classification: Internal 2010-09-27Classification: Internal Status: Draft Classification: Internal 2010-09-22Classification: Internal 2010-09-15 15 - Classification: Internal (Restricted Distribution) 2010-04-19 Business Drivers RTV - MapIT • The MapIT project will deliver standardised data access independent of data source technology to any data subscriber • The RTV project will deliver information work spaces for data visualisation and collaboration to Petec and OMM domains • The two projects will deliver: –  Standardised information to support safer, better and faster decisions for work processes –  Standard visualisation and collaboration across assets –  A platform to enable continuous change –  Support tools for to new operating model –  Enablers for creative and innovative Industrial IT tools GODI - Global Operation Data Integration RTV - Real Time Visualisation MapIT- Master project IT MapIT RTV TI SAP IMS DBR IMS GODI DATA INFORMATION
  16. 16. OLF has focus on data Data Domain - OLF has focus on terminology (ISO 15926) (3 levels of data integration - Dictionary - Taxonomy - Ontology) IT - OLF has focus on transformation and routing (Enterprise Service Bus (ESB) and iRing) Availability and quality of data is the basis for:   work processes   operational decisions
  17. 17. 1717 Information quality   Information quality   A common dictionary (HSE, drilling, development, production, logistics, operation and maintenance)   Deployments   Daily Drilling Report   Daily Production Report   Monthly Production Report   Yearly Environmental Report   RFID deployment •  Personnel •  Container •  Drill string •  Equipment   EqHub – a common database for standard equipment
  18. 18. Semantics and IT architecture   This approach avoids the exponentially growing complexity of integrating applications by using the oil & gas ontology as a reference for mapping   The reference IT architecture developed by OLF is an open infrastructure for loosely- coupled integrated applications based on service orientated principles
  19. 19. Main Objective for IO in the High North (2008-2012) Main objective: Demonstrate a reliable digital platform for Integrated Operation Generation 2 (IO G2) Requirements: Come from use cases within   Drilling & Completion   Production & Reservoir management   Operation & Maintenance Key element: Handling of real-time data across applications, disciplines, locations and organizations
  20. 20. Project set up and activity leads
  21. 21. © 2007 IBM Corporation Integrated Information Framework (IIF) Purpose Provide a basis for standardization of processes and applications across facilities Real -time IT integration solution • Facility specific processes • Operation & expert centers Integrated Information Framework (IIF) • Standardized access to information • 3rd party applications • Many different well management, DCS, asset management, IMS and other systems • Standardized processes Plant Enterprise
  22. 22. OLF and IBM – Almost equal information strategies IBMOLF
  23. 23. IBM’s IIF Target architecture 23 PCA’s RDS (ISO 15926) Classes & Relations MIMOSA’s Registry Assets & Systems (Individuals) Information Service Bus (ISBM) OpenO&M, PCA, iRING Maintenance Operations Production Development Drilling Environment Safety Registration Classification Users Providers Data HistorianData Historian Data Historian EqHub EPIM’s Equipment Catalogue Applications RFID Global unique identification Number (GUID)
  24. 24. POSC Caesar Association (PCA)
  25. 25. POSC Caesar Association (PCA)   PCA was established in 1997   In 1997 PCA initiated: ISO 15926 “Integration of life-cycle data for process plants including oil and gas production facilities”   PCA has focus on the development, maintenance and enhancement ISO 15926   More information: General Manager Nils Sandsmark
  26. 26. Part 2 Data Model Part 4 Reference Data Part 7 Templates Natural Language Grammar Dictionary & Thesaurus Phrase, Sentence, Paragraph, Verse, Rhyme, Lyric ISO 15926 “Parts” Analogy Part 9 Façades “Reading” Paper, Book, Website Part 8 RDF/OWL
  27. 27.
  28. 28. ISO 15926 reference data: At its simplest RDL ISO 15926 Company “EPC” Company “Supplier” Reference Data Library (RDL) Exchange or Communicate map map Internet The RDS/WIP
  29. 29. R e a l i z i n g O p e n I n f o r m a t i o n I n t e r o p e r a b i l i t y" The iRING ISO 15926 Realtime Interoperability Network Grid EPC Owner Operator RDS/WIPEPC Supplier ISO 15926 ISO 15926 Supplier Supplier Job Site
  30. 30. iRING – A “Round the Clock” Project! Dow Bechtel Bechtel DNV NRX Bentley Emerson CCC Fluor CCC Hatch Hatch TCS DuPontEmerson Intergraph Bentley Fluor R e a l i z i n g O p e n I n f o r m a t i o n I n t e r o p e r a b i l i t y" Zachry
  31. 31. Least Compliance Greatest Compliance ISO-15926 OpenO&M Least Ambiguity Greatest Ambiguity AmbiguityScale Interoperability as reducing ambiguity •  Because we focus on doing business much information may be implicit or ambiguous when we exchange or integrate information •  Ambiguity when exchanging and integrating information represents risk, requiring effort to resolve. •  The higher the ambiguity, the higher the risk & cost. •  When new business uses or interfaces arise, new ambiguities may be significant, and the costs & risks may be repeated. •  Ambiguity = Lifecycle Cost & Risk I’ll just give you my data and you’ll work it out. ie ”not my problem” If we use semantic-web, technology maybe we could automate this more ? ie “iRING technology” OK, let’s at least agree to use the same terms. ie “common dictionary” Would it help if I told you how I was using the data ? ie “usage patterns & templates”
  32. 32. 32 Systems Engineering AP 233 RISK Management Unique Identifiers UID RFID Supply Chain transactions ASD 2000M ASD 3000L Logistics Support Analysis TLSS Def Std 00-60 Requirement management AP 233 PLCS project scope
  33. 33. Exploration and Production Information Management Association (EPIM)
  34. 34. E&P Information Management Association (EPIM) OLF initiated EPIM and its content: EPIM was established by and for the operators on the NCS for managing common industry solutions such as:   LicenseWeb   AuthorityWeb   EnvironmentWeb   EqHub Furthermore, EPIM has the administration of the content (semantic) and the format of the XML schemas used for:   Daily drilling report (ISO 15926 - taxonomy)   Daily production report (ISO 15926 - taxonomy)   Monthly production report (ISO 15926 - taxonomy)   Yearly environmental report (ISO 15926 – taxonomy)
  35. 35. 35 EqHub - the concept pre-qualified information delivered once and for all   Operators contract specifications to reflect EqHub requirement   Operators aligned with same information requirements   Information is structured according to ISO 15926   EqHub certified information pre-approved by operators   EqHub is owned and operated by EPIM   EqHub will use a membership funding model (ref. Achilles)
  36. 36. 36 The EqHub’s content is for the oil and gas industry   Most important offshore prospective areas are:   Brazil   Gulf of Mexico and Alaska   Vest coast of Africa   North Sea   Offshore Australia   Asia – several areas   Barents Sea   Established dialogues with representatives for Achilles and PCA in Rio de Janeiro and Perth
  37. 37. 37 Deployment RFID in oil and gas industry Deployment of RFID in oil and gas – an OLF Guideline for:   Personnel   Containers   Drill strings   Mobile equipment   Fixed equipment The guideline is based on ISO standards ISO 15926
  38. 38. Summing up
  39. 39. Integrated Operations reduce risks   The Norwegian Snorre Field had an uncontrolled leakage of gas from a well in 2004   Maintenance of a well   A kick occurs and huge amount of gas leaks into the ground close to the sea bottom   The gas is also filling up the water below floating platform   Quite a few decisions were not according to regulations and good practices   It serious event that could have been a new Piper Alpha accident 39 Terje Overvik Senior Executive Vice President, Statoil (2006) “The Snorre event would not have happened if Integrated Operations had been implemented”
  40. 40. Integrated Operations reduce risks 40 IO provides:   Transparency   Real time information shared offshore/ onshore   Improved work processes   Onshore deciding   Offshore executing
  41. 41. Integrated Operations   IO is access to offshore information in real time onshore   IO is integrated work processes across drilling, production, operation and maintenance in real time   IO is safer, cleaner, faster and better decisions   IO has a potential of at least $ 50 billions on the NCS   IO is a quiet revolution that has changed offshore operations already and more will come with IO G2