neftegaz national oil and gas forum 2019...
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© Siemens AG 2019
Page 1 Stefan Engelshove / Vice President Oil&Gas Germany
Neftegaz – National Oil and Gas Forum 2019
Technological Trends, Changing Markets16th April 2019 - Stefan Engelshove Siemens AG Vice President Oil&Gas Germany
© Siemens AG 2019
Page 2 Stefan Engelshove / Vice President Oil&Gas Germany
Global megatrends will shape our lives
in the coming decades …
Globalization
The volumeof world trade nearly
doubledbetween 2000and 2014
Urbanization
By 2050,
70 percent of
the world’s population will live in cities(2014: 54 percent)
Demographic change
The earth‘s population will increase from7.3 billion people today
to 9.6 billionin 2050
Climate change
In 2050, a global temperature increase
by 4°Cis expected
Digitalization
By 2020, the digital universe will reach
44 zettabytes– a 10-fold increasefrom 2013
© Siemens AG 2019
Page 3 Stefan Engelshove / Vice President Oil&Gas Germany
The Digital (r)Evolution
Water & Steam
Electrification
Automation
Digitalization
Digitalization
is still being
defined…
4th Industrial
(r)Evolution3rd Industrial
Revolution2nd Industrial
Revolution1st Industrial
Revolution
Siemens has been at the forefront since the beginning of the Industrial Revolution
© Siemens AG 2019
Page 4 Stefan Engelshove / Vice President Oil&Gas Germany
Vision 2020+
New company organization will go live on April 1, 2019
Gas and
Power
Smart
Infrastructure
Digital
Industries
Operating Companies1 Strategic Companies
2
Revenue
~€14bnEmployees
~71,000
Revenue
~€21bn Employees
~71,000
1 As of FY 2017; on a pro-forma basis 2 As of FY 2017; on a pro-forma basis; subject to regulatory approval 3 As of FY 2018
Revenue
~€14bnEmployees
~78,000
Revenue
€16bnEmployees
~65,000
Revenue
~€9bnEmployees
~23,000
Revenue
~€13bnEmployees
~50,000
3 3
© Siemens AG 2019
Page 5 Stefan Engelshove / Vice President Oil&Gas Germany
Milestones of a 171-year history
1866The dynamo makes
electricity part of
everyday life
1816 – 1892Company founder,
visionary and inventor
1847 Pointer telegraph
lays the foundation
of Siemens as a
global company
1925Siemens electrifies
the Irish Free State
with a hydroelectric
power plant
1975Breakthrough of
high-voltage direct
current (HVDC)
transmission
2010TIA Portal takes
automation a stage
further
2016MindSphere, the
cloud-based
operating system
for the Internet of
Things
2012Test operation of the
world's largest rotor for
offshore wind turbines
1983First magnetic resonance
imaging scanner goes
into operation
1959SIMATIC makes
Siemens a leader in
automation technology
Werner von Siemens Siemens innovations over the past 170 years
© Siemens AG 2019
Page 6 Stefan Engelshove / Vice President Oil&Gas Germany
US$ 8.5 bn+ in Software Acquisitions since 2007
Plant Engineeringand Execution
Product Development and System Engineering
2007 2012 2013 2014 2015 2016 2017
MentorGraphics
CD-adapco
PolarionTESISKineoLMS
PerfectCostingSolutions
UGS –Team-center/NX Vistagy
1958 1995/96 2001 2008 20142013201220112009
ORSI ETM/XHQ
Innotec Ber-wanger –OGMCOMOS
Elanand Active
Rugged-Com IBS
VR Con-text – Walk-inside
Preactor Camstar
1958: Beginning of production automation;
Siemens receives patent for SIMATIC
© Siemens AG 2019
Page 7 Stefan Engelshove / Vice President Oil&Gas Germany
0
20
40
60
80
100
120
Dec13
Dec14
Dec15
Dec16
Dec17
Dec18
Price
($
/bb
l)‘Lower-for-Longer’ O&G Market Conditions
Require Industry to Adapt
Dated Brent Price
0
48
96
144
192
240
288
Co
st In
de
x (
Ye
ar
200
0=
10
0)- 45%
Upstream Cost IndexLower
CAPEX
Lower
OPEX
Maximize
Recovery
-27%
2000 20162002 2004 2006 20102008 2012 2014
250
200
150
100
50
0
-18%
Operations Cost
Capital Cost
Brent Price
Cost reductions do not compensate for price decline
60-80($/bbl)Brent Oil Price
Improve HSSE
& Quality
New business model – Digitalization as game changer
© Siemens AG 2019
Page 8 Stefan Engelshove / Vice President Oil&Gas Germany
Digitalization Technologies
Digital Twin
Internet of Things Platform
Asset Management
Cyber Security
Edge Infrastructure (OT meets IT)
Analytics
Digital Transformation in Oil & Gas
Oil & Gas
Chemicals and agriculture
Telecom
Automotive
Public sector
Health
Source: McKinsey and Co, 2016
Digitalization maturity index
~18%
Impacts by 2020 …
… increase of revenue share if
analytics will be used for tactical &
strategically decision determination
… of total spend on IoT infrastructure,
driven by time to value of data
collected
high
low
~50%
… product innovation success rates
and organizational productivity gains~25%
… of new IoT applications built by
enterprises will leverage an IoT platform
Source: International Data Corporation (IDC)
FutureScape: Worldwide Oil and Gas 2018 Predictions
High tech
Tourism
Media
Retail distribution
Retail banking
Assembly
© Siemens AG 2019
Page 9 Stefan Engelshove / Vice President Oil&Gas Germany
Health IndustryAutomotive IndustryMaserati, Turin
Marine IndustryHamburg (Siemens Service Center)
We have revolutionized Industries through Digitalization
Mass Transit IndustryBarcelona – Madrid
Applicability to O&G
Remote MonitoringApplicability to O&G
Improved Cycle TimeApplicability to O&G
Image AnalyticsApplicability to O&G
Predictive Maintenance
• Remote diagnosis facilitates
predictive maintenance
• Increased availability
and avoidance of unplanned
downtimes
• 99.9% availability of trains
• Only 1 of 2,300 trips is late
• Remote monitoring facilitates
expert center support
• Increased availability
and avoidance of unplanned
downtimes
• Reduced cost for operation
and commissioning
• 40% of all critical systems
monitored in real time with
expert technical support
• Digital production optimizes
plant design and facilitates
manufacturing flexibility
• Enables shorter
time to market
• 3x more cars produced due
to Siemens Manufacturing
Execution System
• 30% less development time
• Installed in 100+ hospitals,
20+ countries, and applied
to 10,000+ patients
• Automated image processing
enables faster diagnosis
• Enables more patients
to be treated in less time
• 10% higher accuracy rate
and detection of fractures
• 50% reduction in doctor’s
time for bone reading
© Siemens AG 2019
Page 10 Stefan Engelshove / Vice President Oil&Gas Germany
The Next S-Curve in O&G Competitiveness and Efficient –
Operation will come from Digital and Advanced Analytics
Source: McKinsey
First s-curve
1990s – 2000s
Second s-curve
2010 onwards
• 3D seismic
• 3D reservoir modeling
• Linear program optimization
• Advanced process controls
• Data automation
Advanced analytics
Process digitalization
Robotics and automation
Business model innovation
• Advanced analytics in exploration
and drainage
• Analysis based production
optimization
• Predictive analytics for operations
and maintenance
• Engineering productivity optimization
• Automated production systems
• Process digitalization and
visualization
• Next generation BMI
• Business model innovation
• Supplier interface streamlining
Technology enablers
2010s 2020s and beyond1990s and before
Imp
act
© Siemens AG 2019
Page 11 Stefan Engelshove / Vice President Oil&Gas Germany
The IIoT Platform
MindApps
• Data Analytics Apps to gain immediate
insights and transform insights into
actionable results
• Open Ecosystem for costumers, partners
and developers to create MindApps
MindSphere
• Cloud based IoT operating system
connecting OT to IoT environment
• Cloud infrastructure. Public cloud, private
cloud, or onsite solution as a closed system
MindConnect
• Plug and play connectivity for quick connec-
tion of Siemens assets and Open standards
(e.g. OPC UA) to other assets
• Secure and encrypted data communication
MindSphere
Partner
Apps
Costumer
Apps
Siemens
Apps
© Siemens AG 2019
Page 12 Stefan Engelshove / Vice President Oil&Gas Germany
Edge Computing
Edge Computing combines both local and cloud computing
Local computing Cloud computing Edge computing
App installation & deployment on-demand
• Local data and global data (if wanted)
• Shift from global to local intelligence
• Quick software update cycles
for edge devices
• High volume data and low
latency decisions
Device Installed once –
never or seldom updated
• Data transferred per USB stick
or local network
App installation & deployment on-demand
• Central data and global intelligence
• Quick updates in the cloud
• Low frequency data/high latency
of decisions
• Cloud dependency
Machine and
Edge Device
Machine and
Edge Device
Clients
Cloud
- Device
- App Management
Edge
- Data
- Computing
Edge
- Data
- ComputingMachineMachine
Clients
Cloud
Device and
Computing
Workstation Workstation
MachineMachine
SIMATIC IPC127E
© Siemens AG 2019
Page 13 Stefan Engelshove / Vice President Oil&Gas Germany
DIGITAL TWIN
Pre- / FeedDesign &
EngineeringOperations & Maintenance
BLOCKCHAIN
Siemens Digital Services
Asset Performance
Management
Example Applications of Digital Technology
Data Across Asset Life Cycle Drives Development
Fabrication &
Commissioning
AI / MACHINE
LEARNING
PLATFORM
BUSINESS
DRONES AND
REMOTE
SENSING
MOBIL
CONNECTIVITY
AND TABLET
DEVICES
BIG DATA AND
DATA
MANAGEMENTAPI DIGITAL TWIN
© Siemens AG 2019
Page 14 Stefan Engelshove / Vice President Oil&Gas Germany
Digital Twin – a center piece of digital future?
Intelligent Digital Twin
Operate & Maintain
Digital Twin
Concept & FEEDDigital Twin
Design & Build
Process
Twin
Process &
automation
testing, ops
training, what-if
scenarios
EPC/OEM
Services
Predictive
diagnostics,
asset &
production
optimization
Plant
Twin
Smart 3D view of
facility for
construction, P&IDs
& maintenance
planning,
hazops, etc.
Intelligent
Monitoring
Analytics and
reporting for
operational KPIs &
equipment condition
monitoring
IoT
Data Hub
Standardization
© Siemens AG 2019
Page 15 Stefan Engelshove / Vice President Oil&Gas Germany
The Digital Twin combines the best out of two worlds –
data based approaches combined with model based approaches
Lior Horesh (2016): Should you derive? Or let the data derive= Towards a first-principles data-driven symbiosis
Physical Models Data Driven Models
Data Reliance Small Data Big Data
Domain Reliance Deep Domain Expertise Little domain
knowledge
Fidelity &
Robustness
Highly non-linear and
complex relations
Limited to data and
model complexity
Adaptability &
Deployability
Complex and time
consuming setup
Rapidly adapt to a
specific problem
InterpretabilityConsistent physical
meaningful
Physics agnostics
surrogate
Vo
lum
e o
f R
ele
va
nt D
ata
Physical / Knowledge Base
Machine Learning
Data-driven model Combining data- and
physical models
Digital Twins
Physical model
SimulationKnowledge -based
© Siemens AG 2019
Page 16 Stefan Engelshove / Vice President Oil&Gas Germany
Integrated engineering data from greenfield and brownfield
Digitalization
changes
everything
© Siemens AG 2019
Page 17 Stefan Engelshove / Vice President Oil&Gas Germany
Siemens drives the Digital Enterprise for Process Industries
Digital Twin & Simulation
Recipe,
feedstock
quality, …
Process &
plant
documen-
tation
Real Plant
Integrated Operations
& Services
Digitally enhanced products
Secure Connectivity
Maintenance
Cloud platform and operating system
Asset Performance Management
Integrated Engineering
(2D/3D) & commissioning
Data analytics
Product designProcess &
plant design
Engineering &
commissioningOperation Service1 2 3 4 5
VIRTUAL
WORLD
REAL
WORLD
© Siemens AG 2019
Page 18 Stefan Engelshove / Vice President Oil&Gas Germany
Examples to display real time status & Values in 3D
© Siemens AG 2019
Page 19 Stefan Engelshove / Vice President Oil&Gas Germany
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Dashboard Operations Intelligence
Overview
Aggregate and Integrate
Contextualize
Visualize
E-Logs!!
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Corporate KPIs
PAT, EBIT, Safety, Environment, Ops
Efficiency etc.
Plant Performance & KPI
Projects, Production Plan/Actual,
Cost, Sales & Marketing etc.
Plant Operations
Quality, Facility Utilization,
Maintenance, Energy etc.
Process &
Functions Details
Samples, Tag Details,
Work Orders etc.
With real-time data integration, translates data into meaningful information
to improve your operations performance
© Siemens AG 2019
Page 20 Stefan Engelshove / Vice President Oil&Gas Germany
Digitalization is a reality in Oil & Gas – selected use cases
© Siemens AG 2019
Page 21 Stefan Engelshove / Vice President Oil&Gas Germany
Advanced
3D simulations
Virtual training to enhance safety and efficiency
• Enabling offshore operating personnel
to train ‘virtually’ under realistic conditions
• Promoting operational safety
• Enhanced training efficiency
© Siemens AG 2019
Page 22 Stefan Engelshove / Vice President Oil&Gas Germany
Advanced
3D simulations
Standardization to enhance safety and efficiency
• Configuration with a base skid and
modules
• Minimum installation an site requirements
• Short commissioning period
• Up to 25% power savings
• Factory-built and pretested
• Packaging in low cost environment
• Minimum Interface
© Siemens AG 2019
Page 23 Stefan Engelshove / Vice President Oil&Gas Germany
Digital Field - Modular Automation for O&G production facilities
MPFO Process Modules
Plant overview
© Siemens AG 2019
Page 24 Stefan Engelshove / Vice President Oil&Gas Germany
Control Room / SCADA
➢ Monitoring
➢ Alarms
➢ Software upgrades
➢ Central shutdown
Digital Field – Low Cost Well Surveillance
Low Cost Well Surveillance:
➢ Keep the existing gauges
➢ Install just one box close to the well
➢ No connections to X-mas tree required
➢ Charge the battery once a year
➢ Transmit data which matter - with optimized bandwidth
➢ Invest the bare minimum for well digitalization
Radio / WiFi
Mobile InterfaceField connectivity
© Siemens AG 2019
Page 25 Stefan Engelshove / Vice President Oil&Gas Germany
Additive
Manufacturing
© Siemens AG 2019
Page 26 Stefan Engelshove / Vice President Oil&Gas Germany
Gas turbine focal areas for Additive Manufacturing today
€
Complexity
High tech components with complex design and high potential to improve
customer value
efficiency, durability, life cycle improvement
Combustion System
Burner / Swirler / Nozzle / Mixer
Turbine
Blades and Vanes
Conventional AM
© Siemens AG 2019
Page 27 Stefan Engelshove / Vice President Oil&Gas Germany
AM enabling a revolution in spare parts manufacturing design freedom – no restrictions anymore
Game-changer Value generated
Why do we use Additive Manufacturing?
Is it a game-changer?
If you can dream it, you can print it…
From… via… …to:
Solid form Ideal lightweight lattice structure
best fit selections from multiple variants
© Siemens AG 2019
Page 28 Stefan Engelshove / Vice President Oil&Gas Germany
Three main pillars of AM application
Rapid prototyping Rapid repair Rapid manufacturing
1 2 3
Product: SGT
Component: e.g. Turbine blade 1
Benefit: Significant reduction of time to market
Status: Part of standard process
Product: SGT
Component: Burner tip
Benefit: 10 times faster,easy upgrades
Status: In commercial application
Product: SGT
Component: Burner swirler
Benefit: Swirler can only be madevia SLM
Status: In commercial application
© Siemens AG 2019
Page 29 Stefan Engelshove / Vice President Oil&Gas Germany
Additive Manufacturing – our vision
R&D and
Design & Engineering
By 2020:
Fully operational and automation
workshops
By 2025:
Printer cloud, spare parts on
demands from digital twins
• Spare parts on demand are produced close to our customers out of the digital twins
• Obsolete spares can be reproduced by AM and 3-D & CT Scanner
© Siemens AG 2019
Page 30 Stefan Engelshove / Vice President Oil&Gas Germany
Thank you!Stefan Engelshove
Vice President Oil&Gas Germany
© Siemens AG 2019
Page 31 Stefan Engelshove / Vice President Oil&Gas Germany
Back up!Stefan Engelshove
Vice President Oil&Gas Germany
© Siemens AG 2019
Page 32 Stefan Engelshove / Vice President Oil&Gas Germany
Integrated engineering data from greenfield and brownfield
• Front End Engineering
• 2D drawings
• P&ID
• Spec sheets
• Detailed engineering
• Requirements
All engineering data at your fingertips, in context, from any source, for any purpose
© Siemens AG 2019
Page 33 Stefan Engelshove / Vice President Oil&Gas Germany
Integrated operational data
• Historian
• ERP
• Maintenance systems
• Edge (well data)
• Laboratory systems
• Inspection systems
• Simulation and analytics
Use operational information to make better and faster decisions
© Siemens AG 2019
Page 34 Stefan Engelshove / Vice President Oil&Gas Germany
Virtual presence instead of local
• 3D visualization
• Detail parts view and explosion
• Maps
• Immersive operator training
• Field work planning
Spatial perspective helps you put things in context
© Siemens AG 2019
Page 35 Stefan Engelshove / Vice President Oil&Gas Germany
Customer benefits
• Process Optimization and improved
operational transparency
• Maximum efficiency and asset utilization
Unrestricted © Siemens AG 2017
November 2017Page 35
Use Case: Onshore Oil and Gas Production
Upstream Solutions – Digital Oil Field
• Comprehensive portfolio of integrated solutions
utilizing Siemens Digitalization technologies
• Digital oil field portfolio includes Predictive Maintenance
solutions based on Artificial Intelligence and Edge com-
puting solutions for remote locations
• Reservoir management utilizing Cloud based data ser-
vices offering central access for production optimization
• Complete communication solutions optimized
for Oil field requirements including full spectrum
of Cyber security solutions
© Siemens AG 2019
Page 36 Stefan Engelshove / Vice President Oil&Gas Germany
Aker BP, Ivar Aasen, North Sea
Remote Operations Center
• Operating offshore platform real time from onshore
• Integrated E-A-D solution
• Asset Performance Management and Safety applications
• Condition Monitoring analytics based on high quality data
• Advanced condition based maintenance of critical
equipment’s process optimization through advanced
process control
• Lifecycle process simulation and training software
for training in safe environment
Unrestricted © Siemens AG 2017
November 2017Page 36
Customer benefits
Maximize production with 60 – 70%
less offshore operators required
leading to ~30 % savings
© Siemens AG 2019
Page 37 Stefan Engelshove / Vice President Oil&Gas Germany
• High resolution event based data. Replication
of data from offshore to onshore using the MindSphere
for Offshore Historian
• Historian and control system synchronized using Automation
Configuration Tool. Historian has all meta data available
• Template based condition monitoring and performance
monitoring utilizing MindSphere for Offshore Analytics
• Responsive HTML5 dashboards for visualization
in MindSphere for Offshore Dashboards
• Integration of data from multiple source in one place.
Easy and Intuitive access to Equipment Data
Use Case: Aker BP, Ivar Aasen, North Sea
Data Acquisition and Historian
Unrestricted © Siemens AG 2017
November 2017Page 37
Customer benefits
• Secure infrastructure with high availability
• Increase availability and productivity
• Savings by using predictive maintenance
© Siemens AG 2019
Page 38 Stefan Engelshove / Vice President Oil&Gas Germany
Customer benefits
• Reduced risk for cyber attacks
• Increased robustness of the assets
• Reduced cost for incident handling
Unrestricted © Siemens AG 2017
November 2017Page 38
Use Case: Executed many projects with IOCs/NOCs globally
Cyber Security Solutions
• IEC 62443 based solutions for active asset
management, long term service agreements
• Obsolescence management,
network architecture documentation
• Improved protection of critical systems
• Development of suitable procedures together
with the operator (e.g. for USB storage media
usage, patch management)
• Hardening of networks e.g. by removing/
disabling unnecessary services
• Vulnerability reporting
© Siemens AG 2019
Page 39 Stefan Engelshove / Vice President Oil&Gas Germany
Customer benefits
• Reduce time for maintenance
and stop with 20%
• Higher availability, reducing planned
and unplanned stops
Statoil LNG
Drive Train Analytics
Unrestricted © Siemens AG 2017
November 2017Page 39
• Reliable and sustainable service solutions
along the entire Lifecycle of customer’s assets
• Central dashboard to monitor
and access asset history data
• Reports and actionable analyses
• More efficient and responsive customer service
• Simulation via Digital Twin for corrective troubleshooting
• Enhanced Drive Train Analytics based on real customer
requirements and feedback loop to product improvements
© Siemens AG 2019
Page 40 Stefan Engelshove / Vice President Oil&Gas Germany
Customer benefits
• Automatic and reliable control and
logging of multiple loaded products
at one location and in random order
• No emissions of vapors
Unrestricted © Siemens AG 2017
November 2017Page 40
Tüpraş, On Spot Rail Car Loading Station, Kirikkale, Turkey
Safe and fast loading operations
• Sophisticated and automated filling procedure based
on a Digital Terminal Management System
in combination with a PCS 7 DCS
• Integrated digital solution from field to MES levels
covering metering system and instrumentation,
power distribution, fire and gas detection, fire fighting
• Complete solution including mechanical equipment
like loading arms, shunting system, HVAC, valves, filters
© Siemens AG 2019
Page 41 Stefan Engelshove / Vice President Oil&Gas Germany
Customer benefits
• Operation at highest efficiency levels
• Maximum asset utilization
Unrestricted © Siemens AG 2017
November 2017Page 41
Use Case: Onshore Oil and Gas Storage and Distribution
Digitalization in Tank Farm and Terminals
• Digitalization and automation master plan
• Concept, basic and detail design on the basis
of integrated engineering and operations
• Cloud based data processing and optimization
of operation e.g. tank inventories and optimized loading/
unloading procedures
• In-build cyber security as well as physical security
and safety of operations
• Lifecycle services including e.g. Obsolescence and spare
part management, preventive and corrective maintenance
© Siemens AG 2019
Page 42 Stefan Engelshove / Vice President Oil&Gas Germany
• Onshore/offshore Operation Center for remote operations
and surveillance of offshore installations
• Digital Twins - Onshore Operator Training- and Test
Simulator with emulated (virtual) controllers and lifecycle
process models for training and engineering in safe
environment
• Onshore Remote Expert Center to support experts and
management, for real time decisions and collaboration.
Remote access to offshore integrated safety and process
control system, for onshore short notice support
• Predictive and Condition based maintenance
Customer benefits
• Operational risk mitigation due to test
and training in safe environment
• Increase availability and productivity
• Cost saving, reducing manpower offshore
Use Case: Eldfisk, North Sea
Remote operations/Lifecycle Simulation
Unrestricted © Siemens AG 2017
November 2017Page 42
© Siemens AG 2019
Page 43 Stefan Engelshove / Vice President Oil&Gas Germany
Charter of Trust – joint initiative for a secure digital world
Objectives
1
2
3
Protect the data of individuals and companies
Prevent damage to people, companies and infrastructures
Establish a reliable foundation on which confidence in a networked, digital world can take root and grow
charter-of-trust.com