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Copyright of Shell Global Solutions International B.V. CONFIDENTIAL
The importance of IoT within Shell’s
Digital agenda
19/06/19
IT CTO Consultant, Emerging Digital
Technology
Yudi Xu
Copyright of Shell International
Definitions & cautionary note
The companies in which Royal Dutch Shell plc directly and indirectly owns investments are separate legal entities. In this presentation “Shell”, “Shell group” and “Royal Dutch Shell” are sometimes used for
convenience where references are made to Royal Dutch Shell plc and its subsidiaries in general. Likewise, the words “we”, “us” and “our” are also used to refer to Royal Dutch Shell plc and its subsidiaries in
general or to those who work for them. These terms are also used where no useful purpose is served by identifying the particular entity or entities. ‘‘Subsidiaries’’, “Shell subsidiaries” and “Shell companies” as used
in this presentation refer to entities over which Royal Dutch Shell plc either directly or indirectly has control. Entities and unincorporated arrangements over which Shell has joint control are generally referred to as
“joint ventures” and “joint operations”, respectively. Entities over which Shell has significant influence but neither control nor joint control are referred to as “associates”. The term “Shell interest” is used for
convenience to indicate the direct and/or indirect ownership interest held by Shell in an entity or unincorporated joint arrangement, after exclusion of all third-party interest.
This presentation contains forward-looking statements (within the meaning of the U.S. Private Securities Litigation Reform Act of 1995) concerning the financial condition, results of operations and businesses of
Royal Dutch Shell. All statements other than statements of historical fact are, or may be deemed to be, forward-looking statements. Forward-looking statements are statements of future expectations that are
based on management’s current expectations and assumptions and involve known and unknown risks and uncertainties that could cause actual results, performance or events to differ materially from those
expressed or implied in these statements. Forward-looking statements include, among other things, statements concerning the potential exposure of Royal Dutch Shell to market risks and statements expressing
management’s expectations, beliefs, estimates, forecasts, projections and assumptions. These forward-looking statements are identified by their use of terms and phrases such as “aim”, “ambition’, ‘‘anticipate’’,
‘‘believe’’, ‘‘could’’, ‘‘estimate’’, ‘‘expect’’, ‘‘goals’’, ‘‘intend’’, ‘‘may’’, ‘‘objectives’’, ‘‘outlook’’, ‘‘plan’’, ‘‘probably’’, ‘‘project’’, ‘‘risks’’, “schedule”, ‘‘seek’’, ‘‘should’’, ‘‘target’’, ‘‘will’’ and similar terms and
phrases. There are a number of factors that could affect the future operations of Royal Dutch Shell and could cause those results to differ materially from those expressed in the forward-looking statements
included in this presentation, including (without limitation): (a) price fluctuations in crude oil and natural gas; (b) changes in demand for Shell’s products; (c) currency fluctuations; (d) drilling and production
results; (e) reserves estimates; (f) loss of market share and industry competition; (g) environmental and physical risks; (h) risks associated with the identification of suitable potential acquisition properties and
targets, and successful negotiation and completion of such transactions; (i) the risk of doing business in developing countries and countries subject to international sanctions; (j) legislative, fiscal and regulatory
developments including regulatory measures addressing climate change; (k) economic and financial market conditions in various countries and regions; (l) political risks, including the risks of expropriation and
renegotiation of the terms of contracts with governmental entities, delays or advancements in the approval of projects and delays in the reimbursement for shared costs; and (m) changes in trading conditions.
No assurance is provided that future dividend payments will match or exceed previous dividend payments. All forward-looking statements contained in this presentation are expressly qualified in their entirety by
the cautionary statements contained or referred to in this section. Readers should not place undue reliance on forward-looking statements. Additional risk factors that may affect future results are contained in
Royal Dutch Shell’s Form 20-F for the year ended December 31, 2017 (available at www.shell.com/investor and www.sec.gov ). These risk factors also expressly qualify all forward-looking statements contained in
this presentation and should be considered by the reader. Each forward-looking statement speaks only as of the date of this presentation, 19/06/19. Neither Royal Dutch Shell plc nor any of its subsidiaries
undertake any obligation to publicly update or revise any forward-looking statement as a result of new information, future events or other information. In light of these risks, results could differ materially from those
stated, implied or inferred from the forward-looking statements contained in this presentation.
We may have used certain terms, such as resources, in this presentation that the United States Securities and Exchange Commission (SEC) strictly prohibits us from including in our filings with the SEC. U.S. Investors
are urged to consider closely the disclosure in our Form 20-F, File No 1-32575, available on the SEC website www.sec.gov. 2
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PRO
Shell’s Strategy
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Our PurposeWe power progress together by
providing more and cleaner energy
solutions
#makethefuture
Strategic Ambitions
World Class Investment Case
Thrive in the Energy Transition
Strong Societal Licence to
Operate
Aspired Portfolio
Cash
engines
Growth
priorities
Emerging
opportuniti
es
Winning Capabilities
Customer Centricity
Commercial Value Delivery
Technology
Commercialisation
Project Delivery
Operational Excellence
Underpinned by our Values, Goal Zero, and People
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Shell business overview
Exploring for oil
and gas:
onshore
Exploring for oil
and gas:
offshore
01 Exploration
Producing
petrochemicals
Generating
power
Refining oil into
fuels and
lubricants
Converting gas
into liquid
products (GTL)
Upgrading
bitumen
Producing
biofuels
AviationRetail Lubricants Power
05 Sales and marketing
Customers
04 Transport and trading
Liquefying gas
by cooling
(LNG)
Shipping
and trading
Regasifying
(LNG)
Supply and
distribution
02 Development and extraction
Extracting
bitumen
Producing oil
and gas
Developing
fields
03 Manufacturing and energy production
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To be discussed
❑ Shell Digital strategy.
❑ IOT.
❑ Drones & Robotics.
❑ Speech + AI.
❑ Shell and AI (ML / MV / NLP):
◼ Machine Learning for Predictive Maintenance.
◼ Machine Vision for Leak detection, etc.
◼ Natural Language Processing.
❑ Learnings.
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Digital COE
❑ Includes:
❑ Digital Capabilities:
❑ AI: Data Scientists.
❑ Emerging Technologies capabilities.
❑ Design Thinking capabilities.
❑ Business Focal points.
❑ Of course close cooperation with IT:
❑ Making operational.
❑ Deployment.
❑ Etc.
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◼ Semi
autonomous
interpretation
◼ Data centric
reservoir
modelling
Many initiatives
are underway…
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… but there is much
more value to realise
◼ Data centric
engineering
and
construction
◼ Digital twin
◼ Predictive
maintenanc
e
◼ Proactive
monitoring/
reliability
◼ Remote
operations
◼ Real time
supply &
demand
balancing
◼ Smart
contracts
◼ Personalised
experience
◼ Retail site
of the future
◼ Digitise routine tasks
◼ Digitalise supply chain
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Shell Digital agenda
❑ From our CEO: Energy Renewal and Digitalisation are the most important events we need to
tackle.
❑ Digitalisation is fully business driven whilst IT is supporting these activities.
❑ Every Digital activity has the following flow:
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Apply Machine
Learning or Advanced
Analytical Methods
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Digital is all about data
❑ Every Digital activity has the following flow:
IOT
• Drones
• Robotics
• Cameras
• Sensors
• Edge (IOT)
• Blockchain
• MS Azure
Data
Platform
• Digital
Realities
(VR/AR)
• Speech
• Chatbots
• Wearables
• SME
• Supported
by Digital
services
Apply Machine
Learning or Advanced
Analytical Methods
• ML=Machine Learning
• MV=Machine Vision
• NLP=Natural Language Processing
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Robotics today
Making an
impact across
Shell’s operations
Caged UAS Tank
Inspection
reduction of costs
Inspection of
subsea storage
UAS Inspections
Used Daily in Shell
BVLOS UAS
Mini ROV Robotic Compact
Manifold
Robotic Coating
RemovalExR-1
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ExRobotics
◼ Explosion Certified Robots that live in a
facility
◼ Can perform regular walk arounds to
detect leaks and integrity issues
◼ ExR-1 first commercial robot being
deployed in NAM
◼ ExR-1.1was tested in Q3 2018 in Pernis
◼ Added autonomy and gas detection
◼ First robot deployed January 2019
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Unmanned Aerial Systems Overview
◼ UAS can rapidly scan a large area
◼ Performs a birds eye view walk around
◼ Complementary to ground based
robots as these are NOT ATEX
◼ Used regularly across the globe
◼ Asset Visualization
◼ Incident monitoring
◼ Security
◼ Construction 4D Models
◼ Tall Structure Inspection
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BVLOS Surveillance
◼ Use of UAS to fly out of the human
operators visual line of sight
◼ First commercial deployment was in QGC,
saw a large increase in operator efficiency
while avoiding millions of km of road travel
◼ Currently replicating in Permian
◼ Shell was granted first BVLOS waiver by
FAA in October 2018
◼ Will have a bigger focus on analytics
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Asset Owned UAS
◼ Asset sets up an internal UAS program so flights can
be performed more often
◼ Inspections that could not be justified by contract
inspections are now viable
◼ Enables creation of up to date digital twins of assets
◼ Scotford, Deer Park, Norco, Rheinland have all
setup programs with Pernis, STCH and more looking
at setting up programs
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AI (Machine Learning)
❑ Most mature.
❑ Python driven.
❑ Use cases across Shell.
❑ Focus at Predictive Maintenance:
❑ Initial most value there.
❑ Impacting availability of the assets: Refineries; Production; Chemicals Plants; etc.
❑ However as well several use cases elsewhere.
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AI (Machine Vision)
❑ Open Source driven.
❑ Challenge to get sufficient data:
❑ Synthetic data.
❑ Developing very fast.
❑ Use cases across Shell:
❑ Retail.
❑ Corrosion detection
❑ Damage at plants.
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AI (Natural Language Processing)
❑ Open Source driven.
❑ Least mature.
❑ Developing very fast.
❑ Use cases across Shell:
❑ Anywhere we have unstructured data.
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Importance of data
❑ ML for Predictive Maintenance driven by Time series data (IOT release 1):
❑ Therefore not driven by latest IOT developments.
❑ Quality of data → However do not spent time on getting the data to a better quality before
starting to do anything;
❑ Of course over time data quality issues have to be addressed.
❑ Synthetic data becomes very important:
❑ Machine Vision.
❑ Etc.
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Speech and AI
❑ Examples where deployed / tested:
❑ Control rooms:
❑ Selecting drawings out of 60,000.
❑ Ware houses:
❑ Validating the inventory
❑ Challenges:
❑ Noise
❑ Accents
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Predictive Maintenance
Pre-empting failure
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Recharge Plus
Managed Smart Charging For Electric Vehicles
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Machine Vision
Helping Shell Retail achieve Goal Zero
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Rightsizing Inventory
Optimizing Spare Parts Usage
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Shell Geodesic™
Algorithmic Geosteering
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GEOCRAWLER
AI Assistant For Interpreters
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Support it as a Service
Radar Scoping Active READY FOR PRODUCTION
FROM PROOF OF CONCEPT TO OPERATIONAL SERVICE
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Learnings so far
❑ Opportunities are endless.
❑ Data is at the heart of everything → No surprise of course
❑ Focus at Open Source (components).
❑ Top down approach is important:
❑ Business support & deployments.
❑ Business and IT act as one → Value story.
❑ DevOps / Agile / etc. is important to increase speed.
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One More Thing…
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Open Sourced IoT-Device-Hub (soft launch)
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VISIONEmpower the IoT with open resources
WHAT WE DID
We created a fully open sourced IoT device repository to bridge the gap between suppliers and customers.
Best place to find your IoT devices
MIT license and fully open sourced
Initiated by industry lead but owned by community
Iot-device-hub.github.io
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