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The new data reality and Industry impact
J.C.Kadal
20.10.2014
20.10.2014
SAFER, SMARTER, GREENER

In a challenging world we make businesses better prepared
Low carbon energy
Reliable and affordable energy
Short-term cost efficiency
Complexity and lack of global governance
Long-term competitiveness
Trust and transparency
Efficient and fast
Safe
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DNV GL – Industry consolidation
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Global reach – local competence
150 years
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400 offices
100 countries
16,000 employees

 How Big data can transform our industries
 How Big data con contribute to make our industries safer, smarter and greener
 Some examples from DNV activities
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Big data–some key identifiers and business value
Sources Characteristics New Capabilities Business value
Volume
(real time)
Behavioural data
Technology Target marketing
Velocity
(real time)
Sensor data
Geospatial data
Variety
(Sensor, transaction, text etc.)
Competence
Health diagnostics
Veracity
(VERITAS)
Transaction /
Contributory data
Data management &
Governance
Logistics and optimisation
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DNV GL © 2014 20.10.2014

Big data - the new data reality
"The Internet has changed the way we consume information and talk with each other, but now it can do more, by connecting intelligent machines to each other and ultimately to people, and by combining software and big data analytics, we can push the boundaries of physical and material sciences to change the way the world works.“
General Electric CEO Jeff Immelt
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Impacting DNV-GL’s industries – main trends
1. Increased number of sensors
2. Increased ability to exploit sensor data
3. Cross system data analytics
Applications;
Use of sensor data across systems for performance-, condition-monitoring, predictive maintenance, and system optimization as well as automation of problem solving and decision making
Example from Aviation:
+ =
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Impacting DNV-GL’s industries
Energy Health Maritime
Oil and
Gas
• Grid management
• Technical operation
• Asset and operational risk management
• Energy efficiency advice, assessment and verification
• Diagnostics
• Patient monitoring and management
• Management of patient care processes across system barriers
• Epidemiology
• Technical operation and maintenance
• Energy efficiency
• Safety performance
• Commercial operation (logistics chain optimization)
• Automation of ship operations
• Management and monitoring of accident and environmental risk from shipping traffic
• Integrated operations
• Efficient drilling and production
• Asset and operational risk management
• Pipeline risk management
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Impacting DNV-GL’s industries
Energy Health Maritime
Oil and
Gas
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Industry impact – What are the patterns?
 Automation of insights and decisions
 Increased willingness to share/combine data across barriers
 New entrants in established industries with new business models and operation modes
 Established actors transform their business models and operation modes
 New roles like industry specific data aggregators and data stewards emerge
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How to succeed commercially with Big data enabled services?
• Business models
• Operation modes
• Service delivery
• Commercialisation
• Capabilities
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Big data and analytics impacting the future of shipping
Sources Characteristics New Capabilities Business value
Volume
(real time)
Behavioural data
Safer Operations
Technology
Velocity
(real time)
Sensor data
Geospatial data
Variety
(Sensor, transaction, text etc.)
Competence
Smarter Operations
Veracity
(VERITAS)
Transaction /
Contributory data
Data management &
Governance
Greener Operations
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Big data and analytics impacting the future of shipping
• Improved maintenance levels through increased transparency
• Higher reliability through risk based maintenance
• Reduce risk related to human error through increased automation and simulation
• Increase navigational safety through real time analysis of shipping traffic
• Higher Value chain efficiency through analysis of data across the logistics chain and the environment
• Improved Operational Efficiency through the improved value chain efficiency and optimisation of operation
Safer
Smarter
• Reduced emissions as result of the reduced fuel consumption
• Reduced environmental impact from accidents due to increased safety
Greener
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DNV GL: Ambitions for the shipping industry
CO
2 emissions Lives lost at sea Freight cost
900 million tonnes per year
Ambition:
60 % reduction in CO
2 emissions
900 ship accident fatalities per year
Average 2003-2012
Ambition:
90 % reduction in fatalities in shipping
7-11% of cargo value
Ambition:
Maintain or reduce present freight cost levels
Vision for Big data and analytics as one of many means to achieve these ambitions:
“Bring the power of trusted, refined and combined data to our customers for them to gain competitive advantage through new information and insights.”
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Analytics and big data already impacting all service lines
DNV Petroleum services
- Benchmarking of fuel suppliers
DNV Safety Insight – benchmarking safety culture
Monitoring emissions to air and managing energy efficiency
Ship classification and ship board applications – operational quality
Analytic and Big data services
Ship emission monitoring services – monitoring emissions to air from shipping traffic
Predictive maintenance based on Sensor data from components and systems
(COMPASS)
Environment monitoring,
Stewarding role for
Component reliability database,
Utilities - load balancing and smart metering
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Pipeline risk monitoring
Wind– field assessment and monitoring and benchmarking operational quality
Electric cars – managing battery life for vehicle fleets

Safer - The power of analytics
Augmenting class services with analytical insights from Class surveys, Port state inspections, Incidents,
Fuel quality etc.
“This is a tool for us to stop managing on perceptions and start managing on facts”.
Customer feedback
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Safer with smarter class - standardisation
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Safer with smarter class - Survey Findings
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Safer with smarter class Class survey findings – examples Machinery
Main generator F: - Main Stator Lead cables burnt damaged between the
Stator Coils and Terminal Box -
Terminal bar supporting bracket iwo the
Terminal box burnt. - Control transformers & accessories damaged in the fire. - Outgoing cables between the
Alternator to the Main Switchboard burnt iwo the Terminal Box.
Fixed Gas Detection System was found out of order. The gas detection function for ballast tanks and pump room was totally shutdown.
Oveboard piping for SW cooling line of
IGG scrubber found leaking i.w.o. a flange near the ship's shell (under the
ER lowest platform). Jury-rigged bucket found.
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Safer with smarter class using Big data – What data?
Systems La s t month
Thi s month
Trend
Active fire protection Total 1
Collision avoidance Total
Containment Total
2
1
Cranes Total
Derrick cranes Total
1
2
Helicopter Total 2
Jacking Total
Marine system Total
Rig move Total
Well test Total
Structure Total
Well control Total
4
2
4
5
0
0
2
2
7
2
9
9
0
1
4
5
6
3
4
2
2
0
3
0
0
3
0
1
-2
1
1
8
9
-2
2
1
2
3
1
0
0
1
Analysing survey findings on entire fleet in barrier format
Reporting survey findings in barrier format
Evaluate and trend barrier performance and report barrier status after survey
Online integrated performance monitoring with customers management systems
As data gets bigger and richer through direct integrations, it is important to focus on the key questions
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Smarter and greener through operational efficiency analytics
“You cannot improve what you do not manage.”
“You cannot manage what you do not measure”
Know your fleet performance instantaneously
Benchmark against your own fleet and history
Benchmark against other players in the market
Data analytics powered by DNV GL experts
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Creating services on public data
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Smarter and greener through ship tracking analytics
Augmenting class services and creating new analytic services from AIS data and environmental models towards existing and new customer groups.
Cutting edge Big data solution e.g. Energy savings through better voyage and speed management
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Eco Insight illustration for home page
Engine
Hull/Propeller
Weather
Speed
Trim
Potential reduction in fuel consumption
(up to 20% of total fuel cost)
Total fuel consumption
(up to 70% of total operational cost)
Basic fuel consumption
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Vessel consumption and emission rank
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Insights can be used in daily operations, tactical planning or strategic decision making
Daily operations Tactical planning Strategic decisions
1
Network &
Fleet
Fuel consumption monitoring
Charter fleet performance
Off-hire analysis
New fleet operating profile
Carbon footprint profiling
AIS
Business
Intelligence
2
Port operations
Berth availability in next port of call
Turnaround time
Anchorage waiting times
Change port of call
3
Voyage operations
Schedule integrity versus peers
Speed profiles
Delay management tactics of peers
ECA zone routing
Improved basis for strategic decision making
 Benchmarking against partners and competitors
 Understanding of underlying business performance drivers
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Overall operations
Average trade lane utilization
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Purchasing
(e.g. port, bunker)
Recent bunkering activity in upcoming ports
Pro forma schedules (port/ anchorage/ sea passage)
Cost curve modelling
(fuel, asset, port, etc)
Choose experienced repair yard
Competitor bunkering footprint
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AIS Business Intelligence
20.10.2014
17. October 2014

Port Operations – berth availability, turnaround times etc.
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Big Data can enable transition from rule based via condition based to risk based maintenance also in maritime and Oil&Gas
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Monitoring signals
Diagnostics Prognostics

Smarter – exploring data collection and diagnostic and prognostic methods
Timely maintenance based on prognosis from real time machinery sensor readings
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Safer – New Autonomous short sea ship concept
“How far can we go with respect to energy efficiency, emissions and safety and still maintain cost effectiveness?”
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Greener – reducing environmental impact
Licence to drill and operate in sensitive areas
Managing impact on the environment through sensor based
Big Data platform and environmental risk models
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Safer and smarter - Industry data aggregation – data steward
Component failure data across competitive barriers stewarded by DNV GL
.
“The most valuable database in the offshore industry”
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www.dnvgl.com
SAFER, SMARTER, GREENER
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