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Digital India
Knowledge Exchange
Summit 2016
19-20 February 2016 at Kovalam, Kerala
GAIL’s Presence in Value Chain
- Pipelines
- LNG Regasification
- LPG & Petrochemicals
- Gas Trading
- LNG Sourcing
- Diversification
- E&P
EndConsumers
Pipeline : NG ~11,000 Km; LPG ~2050 Km
Gas Sourcing/Trading:Long-term Import Portfolio
Petrochemical
LPG
GAIL today an integrated & diversified
gas company ……
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…
IT Adoption at GAIL
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
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.
Challenges
8
Utilization ?
User Interface?
Initiatives to drive Utilization
9
Continuous
Training &
Support
Mobile
Platform
Management
Sponsorship
Incentive for
Utilization
Simplify User
Interface
Identification of
Site Power
Users
New Initiatives
SUGAM
Mobility
IT – OT
Integration
Analytics
Pipeline
Maintenance
& Safety
10
Mobility
Objective
Enhanced
Productivity
Utilization
Any Time, Any
Where
Information
11
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
IT-OT Integration
Objective
Effective
Maintenance
of Plant
Assets
Condition
based
Maintenance
Improve
Services &
Performance
Reduce
Overheads
13
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
Analytics
Objective
Data Quality
Data
Visualization
Insights
Monitor
Critical
Parameters
Data Driven
Decisions
15
Analytics
Trusted Transactional Data Descriptive Analytics Improved Performance
16
Pipeline Maintenance & Safety
Objective
Maintenance
on Pipeline
Segments
Maintenance
History
Incident
Reporting &
Analysis
Risk
Analysis
17
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
Case Study
19
Gas Management System
Features
Customers
Fortnightly
Billing
(INR 2000+ Cr)
Gas
Sources
Gas
Contracts
20
Pre - Gas Management System
• WorkstationCustomer
Nomination
• Manually from the MetersMeasurement
• WorkstationAllocation
Rules
• WorkstationJoint Ticketing
• SAP SystemInvoicing
21
Gas Management System
• SAP SystemCustomer
Nomination
• Directly from SCADAMeasurement
• SAP SystemAllocation Rules
• SAP SystemJoint Ticketing
• SAP System
Invoicing
22
Gas Management System
Benefits
Transparency
Data
Reliability
Minimal
Manual
Intervention
with Audit
Trail
Timely
Generation
of Invoices
23
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
Digital Transformation
Digital
Transformation
& Governance
Smart
Operations
Smart
Workforce
Smart
Engagement
with
Stakeholders
Smart Safety
and Asset
Management
THANK YOU
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
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
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
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
IT-OT Integration
31
Digital India Knowledge Exchange Summit 2016 - Atul Rastogi, Deputy General Manager, GAIL
Digital India Knowledge Exchange Summit 2016 - Atul Rastogi, Deputy General Manager, GAIL

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Digital India Knowledge Exchange Summit 2016 - Atul Rastogi, Deputy General Manager, GAIL

Editor's Notes

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.