The public sector and integrated operations

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The Public Sector and Integrated Operations Dr. Thore Langeland Manager IO, OLF October 22, 2010 [email protected] +47-90951756

description

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 Repository Importance of data Ontology Reference IT architecture POSC Caesar Association (PCA) E&P Information Management (EPIM) Summing up

Transcript of The public sector and integrated operations

Page 1: The public sector and integrated operations

The Public Sector and Integrated Operations

Dr. Thore Langeland Manager IO, OLF October 22, 2010 [email protected] +47-90951756

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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

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The public sector and the industry have common data challenges

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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

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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   .   …

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Future information workers

  Business analysts

  Corporate librarians

  Information architects

  Taxonomists

  Ontologists

  Data stewards

  Database architects

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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

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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.

www.semanticdays.org

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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 25 6

62 °

60 °

58 °

T rondheim Kristiansund

Ber gen Oslo

Stavanger

Harstad

5 5

10 15 16 17 18

26 27 32 31 29 34 33 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

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OLF’s Integrated Operations

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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

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Integrated Operations (IO) Generation 1 and 2

Time 2010 2015 2005

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

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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

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Organization established

Steering Group Integrated Operations

Implemetations Quality Information

Information Security

Digital Infrastructure

Communication

Consultants

Potential & consequences

R&D and competence

Requirements Requirements Requirements

Opportunities Opportunities Opportunities

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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

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Information sharing

Repository Work

Process SOURCE

Well defined data according to ISO 15926

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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

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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

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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

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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

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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

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Project set up and activity leads

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© 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

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OLF and IBM – Almost equal information strategies IBM OLF

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IBM’s IIF

Target architecture

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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 Historian Data

Historian Data

Historian

EqHub

EPIM’s Equipment Catalogue

Applications

RFID Global unique

identification Number (GUID)

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POSC Caesar Association (PCA)

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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: http://www.posccaesar.org/

General Manager Nils Sandsmark

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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

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http://www.posccaesar.com/

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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

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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/WIP EPC

Supplier

ISO 15926

ISO 15926

Supplier

Supplier

Job Site

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iRING – A “Round the Clock” Project!

Dow

Bechtel

Bechtel

DNV

NRX

Bentley

Emerson

CCC

Fluor

CCC Hatch

Hatch

TCS

DuPont Emerson

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

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Least Compliance

Greatest Compliance

ISO

-159

26

Ope

nO&

M

Least Ambiguity

Greatest Ambiguity A

mbi

guity

Sca

le

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”

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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

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Exploration and Production Information Management Association (EPIM)

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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)

www.epim.no

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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)

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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

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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

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Summing up

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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

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Terje Overvik Senior Executive Vice President, Statoil

(2006)

“The Snorre event would not have happened if Integrated Operations had been implemented”

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Integrated Operations reduce risks

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IO provides:

  Transparency   Real time information

shared offshore/ onshore

  Improved work processes   Onshore deciding   Offshore executing

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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