Download 2016-10-13 CCFN Digital Transformation David Cameron.pptx

Industry 4.0 for the Oil and Gas
Sector
Research and Innovation Challenges and Mechanisms
David Cameron
CCFN Digital Transformation, Oslo, 13th October 2016
vices to be provided through smart netd computing). In conjunction with ever
aturisation and the unstoppable march of
this trend is ushering in a world where
omputing is becoming a reality.
Industrialisation began with the introduction of mechanical manufacturing equipment at the end of the
18th century, when machines like the mechanical loom
revolutionised the way goods were made. This first industrial revolution was followed by a second one that
Industry 4.0
of
volution
First programmable logic controller
(PLC), Modicon 084
1969
First mechanical loom
1784
3. industrial revolution
uses electronics and IT to
achieve further automation
of manufacturing
complexity
First production line,
Cincinnati slaughterhouses
1870
4. industrial revolution
based on Cyber-Physical
Systemss
2. industrial revolution
follows introduction of
electrically-powered mass
production based on the
division of labour
1. industrial revolution
follows introduction of
water- and steam-powered
mechanical manufacturing
facilities
End of
Start of
18th century
20th century
time
Start of 1970s
today
Source: DFKI 2011
Industrie 4.0
Concepts:
• Cyber-Physical Systems
• Vertical Integration
• Horizontal Integration
• Internet of Things
• Artificial Intelligence
• Analytics
Not a new paradigm. Rather the
maturing of the 3rd industrial
revolution. Automation finally
works!
It takes around 50 years for
technical step-changes to result in
measurable improvements in
productivity.
13
Challenges to oil and gas
•
Digital end-to-end engineering
– For the whole life of the facility
•
Inter-company value chains
– Cutting the cost of EPC and M&M
•
Standardisation, products and services
– Instead of tailor-made and owned
•
Robotics, minimum-manning and autonomy
– In difficult and challenging places
•
Vertical integration: getting data to the decision maker
– Commercial and technical decision makers need to be first-class digital employees
Siemens Power Generation Use-case
Uniform solutions for equipment monitoring
BSX-TC3562-XE01
BSX-TMP12A-XE01
Sensor types,
BSX-TICCFB1-XE01
turbine
structure,
measurable
BSX-TC3562-XE01
quantities,
Semantic mapping
“Ignitor on”
Domain ontology
Processes
BSX-TC3562-XE01
CRR-M8393-9272
Query
site configurations,
MS-XC255-X12
MRR-T8901-8462
Normal
start?
Analytics
Unrestricted © Siemens AG 2016
Page 3
Dr. Sebastian-Philipp Brandt, Siemens
CT RDA BAM SMR-DE, Corporate Technology
* http://optique-project.eu/
Who will deliver the solutions?
•
•
•
•
•
•
Platform Companies?
IT System Integrators?
ERP?
Automation?
Equipment Manufacturers?
Analytics Providers?
Every vendor is
offering their own
cloud.
How do we get these
clouds to overlap, work
together and work with
our legacy?
Research issues to be solved
•
•
•
•
•
•
•
•
•
•
Specifying and maintaining useful semantic models about real things
Good, fast, effective databases – in memory and in place
Use of natural language – in data and interaction
Efficient, predictable access to data spread across the cloud
Secure, role-based access to data
High-performance computing to access data, reason and calculate
Modelling, optimization and reasoning – analytics – not just statistics
Sensitive and effective transformation of work practices
Development of friendly, usable user services
i.e. industrial informatics.
We are building an innovation cluster
• Operators, EPC and service companies to
provide the hard business problems
• Research providers to bring the experiments into
prototypes and pilots
• Integrators, both large and small, to deliver the
products and services
SIRIUS: Centre for Scalable Data Access in the
Oil and Gas Domain