2. GAIL’s Presence in Value Chain
- Pipelines
- LNG Regasification
- LPG & Petrochemicals
- Gas Trading
- LNG Sourcing
- Diversification
- E&P
EndConsumers
3. Pipeline : NG ~11,000 Km; LPG ~2050 Km
Gas Sourcing/Trading:Long-term Import Portfolio
Petrochemical
LPG
GAIL today an integrated & diversified
gas company ……
4. Exploration & Production
Overseas: Presence in US, Singapore, Myanmar, China, Egypt
City Gas: Subsidiary - GAIL Gas Ltd. + 8 JVs
Diversification: Wind & Solar Power
……With significant presence across
gas value chain…
6. IT Adoption at GAIL
Decentralized Applications & E-MAIL
Centralized SAP ERP and Corporate Intranet
3-way Disaster Recovery
Gas Management System
Digital Initiatives
2000
2004
2012
6
2008
2015
7. IT Adoption at GAIL
7
e-Bill Tracking
Vendor can track the status of their bill from
Receipt to Release of Payment by GAIL
through GAIL website.
File Tracking System
The System facilitates monitoring and
tracking of internal files / approvals /
documents etc.
9. Initiatives to drive Utilization
9
Continuous
Training &
Support
Mobile
Platform
Management
Sponsorship
Incentive for
Utilization
Simplify User
Interface
Identification of
Site Power
Users
12. Mobility
Work Manager -
Mobile Application
for the Field
Engineers.
Employee Self
Service – Mobile
Application for the
Employees.
Sales Application
– Mobile Application
for the Sales Force.
Generic
Applications –
GAILConnect,
GAILPipeline etc
12
14. IT-OT Integration
Integration of SAP (IT)
system with SCADA (OT)
25 Critical Use Cases for
IT/ OT Integration
Monitor the Plant
parameters and Generate
Maintenance Notification
in SAP based on pre-
defined rules
14
17. Pipeline Maintenance & Safety
Objective
Maintenance
on Pipeline
Segments
Maintenance
History
Incident
Reporting &
Analysis
Risk
Analysis
17
18. Pipeline Maintenance & Safety
Linear Attributes of the
Pipeline Segment mapped
Maintenance Schedules on
Pipeline Segment
Ability to view, record &
close Maintenance Orders
in the field
18
21. Pre - Gas Management System
• WorkstationCustomer
Nomination
• Manually from the MetersMeasurement
• WorkstationAllocation
Rules
• WorkstationJoint Ticketing
• SAP SystemInvoicing
21
22. Gas Management System
• SAP SystemCustomer
Nomination
• Directly from SCADAMeasurement
• SAP SystemAllocation Rules
• SAP SystemJoint Ticketing
• SAP System
Invoicing
22
24. The Digital Age is Disrupting
Industries, Enterprises and IT Departments
A Digital Wave ...
Is Reshaping Products, Services and Business Models,
and Creating New Opportunities and Threats.
This Requires optimized current and
develop new IT Capabilities
Source - Gartner
27. IT Thrust Areas Worldwide
Source: Gartner.com/cioagenda
Ranking of Thrust Areas by Gartner for 2013
Analytics & Business Intelligence 1
Mobile Technologies 2
Cloud Computing 3
Collaboration Technologies
(Workflow)
4
Legacy Modernization 5
IT Management 6
Customer Relationship Management 7
Virtualization 8
Security 9
ERP Applications 10
27
28. Smart Safety & Asset Management
Source: Gartner.com/cioagenda
28
Centralized Pipeline Integrity Management System
GIS mapping of Pan India Pipeline Network
GPS based Online Tracking System for Foot Patrolling
Pipeline Intrusion Detection & Leak Detection System
29. Smart Workforce
Source: Gartner.com/cioagenda
29
Mobile Apps for User Convenience
Collaboration Tools- Microsoft Share Point and Lync
Cloud Storage for Employees
Education, Training and Certification
M-Learning and Knowledge Management
Competency Mapping of Employee and its Updation
Talent Management and Succession Planning
30. Smart Operation &Maintenance
Source: Gartner.com/cioagenda
30
Centralized PIMS Control Room
Aerial Inspection using Imaging Technologies & Drones
Shutdown Synchronization and Annual Shutdown Planning
Predictive Maintenance
Smart Tools & Instruments for CP Monitoring
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The triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you’ve gained to transform your operations. Misconceptions around these tasks trip up many companies.
http://www.mckinsey.com/insights/business_technology/making_data_analytics_work
The triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you’ve gained to transform your operations. Misconceptions around these tasks trip up many companies.
http://www.mckinsey.com/insights/business_technology/making_data_analytics_work
The triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you’ve gained to transform your operations. Misconceptions around these tasks trip up many companies.
http://www.mckinsey.com/insights/business_technology/making_data_analytics_work
The triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you’ve gained to transform your operations. Misconceptions around these tasks trip up many companies.
http://www.mckinsey.com/insights/business_technology/making_data_analytics_work
The triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you’ve gained to transform your operations. Misconceptions around these tasks trip up many companies.
http://www.mckinsey.com/insights/business_technology/making_data_analytics_work
The triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you’ve gained to transform your operations. Misconceptions around these tasks trip up many companies.
http://www.mckinsey.com/insights/business_technology/making_data_analytics_work
The triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you’ve gained to transform your operations. Misconceptions around these tasks trip up many companies.
http://www.mckinsey.com/insights/business_technology/making_data_analytics_work
The triple challenge that companies face: deciding which data to use (and where outside your organization to look), handling analytics (and securing the right capabilities to do so), and using the insights you’ve gained to transform your operations. Misconceptions around these tasks trip up many companies.