GRT - ARHIS

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GRT - ARHIS
The [email protected] Project
MDM Hub Implemention for Natural Gaz Transport
Informatica Day – Zurich 2013
1
November 7, 2014
Agenda
2

Presenting GRT Gaz

Business Case – MDM Rationale

Project Scope and Schedule

Data found in MDM Hub

Datastewardship

In summary

Presenting Arhis

Q&A
November 7, 2014
Presenting GRT Gaz
Activities and Some figures at a glance
GRTgaz performs three main roles:
It transports natural gas on behalf of its customers,
ensuring safety, cost, reliability.
It delivers gas to recipients directly connected to the transmission
network:
major industrial users, power plants that use natural gas to produce electricity, public
distribution networks and neighboring transmission networks.
It expands its transmission capacity in order to meet market demand
and enhance security of supply for France and Europe.
Key figures
TURNOVER
In millions of euro
~3000 employees
INVESTMENTS
In millions of euro
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Presenting GRT Gaz
The largest High Pressure Natural Gaz network in Europe
Infrastructures :
GRT Gaz owns and operates the largest
High Pressure Natural Gaz network in
Europe :
32 000 km of natural gas network
25 compressor stations
9 nodes
870 industrial connected clients
4550 shiping points
677 TWh transported (60 billions m3)
Presenting GRT Gaz
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07/11/2014
The [email protected] project building blocks
What is [email protected] ?
[email protected] is a project that aims to provide a Gas
Network Management system, with accurate
and consolidate information for the
enterprise, which meet the needs of the
market.
Steady State
Simulation
Simulation statique
Real Time
Network
Simulation
RFO
The project has chosen specialized
applications in each of the functional area to
build the solution :
SCADA based on the tool OASys of Schneider
Electric (ex Telvent) in core of project
SIMONE the dynamic simulation module of the
network
PI the real time Data Historian of OSIsoft
RFO based on the tool MDM Hub Informatica
(Master Data Management)
RFO is completed by Informatica Powercenter used
as a vehicle for data flows between systems
Project Scope and Schedule
07/11/2014
Historisation
Analyse
Simulation dynamique
Main components
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PI Data Historian
SCADA OASys
Configuration
Surveillance
Pilotage
Front-End
Acquisition
Reasons for creating the [email protected] RFO
(Using Informatica MDM Hub)
Data created in siloed environments and heterogeneous
systems by teams that did not have necessarily other systems
views, however some common concepts needed to be shared
Various sources of data which need to be consolidated, cleanst,
enriched before reaching the SCADA (Supervisory Control And
Data Acquisition)
Current Data structure based on measurement equipment (and
not on physical network) has reached its limitations
Will to reuse and leverage existing data sources (No need to
rebuild all)
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Founding principles of the RFO
A cautious approach : minimal impact on legacy
[email protected] will be based on a Master Data Management
solution
This first brick shall serve as a foundation for other domains in the future
This MDM brick shall have minimum impact on legacy systems :

7
o
Connection to legacy systems (Geographical ( GIS), MRO (CMMS), etc…) possible
to collect data but no exchange or data modifications with those critical systems
o
No formal commitment in validating data consistency between systems (GIS or
CMMS) for [email protected]
07/11/2014
Summary planning
On schedule delivery !
Project Scope and Schedule
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RFO Exchanges (Step 1)
Metering DB
CMMS
Réseau
RFO
CMMS
Compression
Delivery Point
Capacity Calc.
Metering
DB
Geographical
Information system
connection
GIS
• 5 source systems to contribute data into MDM
• SCADA is Synchronizing with MDM
• Metering DB a provider & consumer of MDM data
Project Scope and Schedule
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RFO Exchanges (Step 2)
Future extensions
CMMS
Réseau
Plugin GIS View
GIS
CMMS
Réseau
ANGEL
CMMS
Compression
RFO
HELP
Delivery Point
Capacity Calc.
Electronic
Logbook
Metering Db
Metering Db
[email protected]
WIP Db
Possible
extensions
Pegaz
Project Scope and Schedule
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•Passive Network Elements
Réseau
Artère
Zones
Section
principale
Section
élémentaire
Antenne/Boucle
Segment
Nœud
Data Found in the MDM Hub
Passive and Active Networks elements
Extensive use of Hierarchy Manager !
Réseau
Passifs
•Actifs
Emprise
Artère
Zones
Installation
Section
principale
Section
élémentaire
Antenne/Boucle
Groupement/Atelier
Fonction/EFB
Segment
Nœud
Organe
Micado
GMAO
[email protected]
CAPTRANSPORT
Data Found in the MDM Hub
Additional data types
•Business Objects :
•PCE
•FGA
•PCR
•PPG
•PPC
•PRL
•PLI
•ZPS
Dynamic Data :
 Real time system descriptive
variables
 Those variables can be linked to
each network element
Data Found in the MDM Hub
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In the end : a complex data model
The RFO is 150 tables linked together in a complex way
Groupement
de Fonctions
Réseau
Ouvrages
passifs
Ouvrages Actifs
Artère de conduite
Artère-AntenneBoucle
Section principale
Fonction
Installation
Ligne Teleco
Antenne - Boucle
Section élémentaire
Groupement de fonctions
Segment
Segmet SE
Segment antenne-boucle
Noeud
Atelier de compression
Installation
Installation
Noeud
Segment
Régulateur
Compteur
Organe de sécurité
Filtre
Réchauffeur
Chromato-Analyseur
Rampe
Robinet
ECV
ICT
Organe
Ensemble régulateur et vanne
Fonction installation
Organe
Emprise
Emprise
Tronçon
Poste de sectionnement - Départ
Segment-Commune
Segment-Secteur
Emprise-Commune
Emprise-Secteur
Service
Relation
Segment
Commune
Organisations
Relation
Segment
Secteur
Commune
Ouvrage passif
Installation
Relation
Emprise
Commune
Traitement
Relation
Emprise
Secteur
Poste de livraison -Pré détente - Comptage - Filtration
Secteur d'exploitation
Interconnexion-Mélangeur
Compression
Regroupement de
Fonction
Département
Exploitation
Projects highlights
• A complex project with limited timeframe
• An Agile methodology which allowed to move
forward and manage projects updates on the flow
Détente et sécurité
Fonction
EFB comptage
Supervision
Organisation
nationale
Organe
Région
Agence
Tables de liens n,n
Tables logiques de
spécialisation
Région GRTGaz
Organisation
GRT gaz
Data Found in the MDM Hub
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Réchauffage
Air-Electricité
EFB Déshydratation
Comptage
EFB Régulation
EFB Odorisation
EFB Vanne
EFB Compression
•Extensive use of datastewardship components
LIVRAISON
CS V 121301
RFO
LIV- Z 1002 - Libreville RFO
Zone de Bel Air
CS V - M1301micado
LIV- Z GTA02 - Libr
GMA 121301
GMA- Z Z 1002 - Libreville
GMAO
GMAO
GMAO
micado
micado
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Datastewardship
Cap
transport
Cap
transport
Cap
transport
Libreville CP002
micado
Extensive use of Hierarchy Manager
 Hierarchy Manager
Emprise
Poste de
livraison
Fonction
Détente et
Sécurité
Fonction
comptage
Compteur
Datastewardship
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Dashboard
Datastewardship
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Some quantitative elements
The RFO is
150 Relational Tables, with over 3 millions records
650 Business Rules to implement at ETL and MDM Hub
RFO
Business data and Dynamic data are related to almost all complex
structures
A single User Interface (IDD) to support Datastewardship for all GRT
components
To manage data flows between systems, 23 Web Services, 5 daily RSS, with
multi-daily data feed jobs were built.
In summary
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Conclusion
RFO is based on Informatica MDM Hub
Adaptable and configurable Tools
The Data Model is consistent with GRTgaz Reference Model
The Data Structure of MDM is technically independent to SCADA
which implies that less constraints to development are imposed by
GRTgaz source system
which could allow to expand the scope of the MDM to other business
needs
Fast implementation and strong knowledge of Informatica product were key
as well as good cooperation between the project teams to let the project to
meet tight deadlines
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Arhis Value Proposition
A Swiss Leader !
Our focus is Master Data Management
 Arhis is a clear leader in the MDM implementation space since its creation with more than 30
success stories
One Team & Unique Model
 A unique expertise on key vendors solutions (Informatica)
 A value-added offering with a team of highly qualified MDM Hub engineers
 Implementation best practices combined with a proven MDM project methodology.
Our Religion: Customer Satisfaction at a reasonable TCO
 Speed of execution
 Reliability in quality and delivery
 Strong commitment
 Flexibility and adaptability : Agile methodology
Presenting Arhis
©www.arhis.com 2013
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Arhis Worldwide Presence in MDM
A Swiss System Integrator expert in Master Data Management
Presenting Arhis
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©www.arhis.com 2013
Thank You !
Q&A ?
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7 novembre 2014