How to Address Environmental Concerns with …...How to Address Environmental Concerns with...
Transcript of How to Address Environmental Concerns with …...How to Address Environmental Concerns with...
www.bazan.co.il Polyolefins – Business Unit
How to Address Environmental Concerns with
Predictive Analytics
Polyolefins – Business Unit
June 2018
www.bazan.co.il Polyolefins – Business Unit
Bazan Group
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1800 Employees
8M Tons Refining capacity
6B Revenue
www.bazan.co.il Polyolefins – Business Unit
165 kTA Low Density Polyethylene (LDPE)
Trade name Ipethene®
450 kTA Polypropylene (PP)
Trade name Capilene®
Polyolefins CARMEL OLEFINS
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No Flare Policy
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Flare Event – September 1st, 18:45
Within 5 minutes – we were on the news
½ hour later Problem identified – valve FCV4402 Failed
Flare is burning
Indicators show burn rate of 40 tons / hour
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Choosing the Right Solution
Unique technology, matching the needs of the process industry
Reference
Covering our entire production line
We selected
Intuitive and short implementation
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How Does Precognize Handle a Flare Event
Precognize detected the problem
3 weeks before it happened!
Flare event
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How Does Precognize Handle a Flare Event
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Day of Failure - Event Behavior
24h
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The Technology at a Glance
Aviel First
Precognize VP Sales
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Current solutions detect only
2% of the failures
Val
ue
Technology evolution IoT
Control
Rules
Specific prediction
Pure ML
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www.bazan.co.il Polyolefins – Business Unit
The main problem of current solutions is
too many false alarms (“noise”)
Data
Machine
Learning
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Precognize Technological Differentiator
The best machine learning cannot avoid too many anomalies.
Data analysis is not enough. There is a gap between the
anomalies in the data and problems in the plant
Knowledge
System
Analysis
Data
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Data Headers Plant Structure Plant Behavior
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www.bazan.co.il Polyolefins – Business Unit
The Machine Learning part is listening to small changes in the machine operation
US Patent Pending
Data
Historical Data
Machine Learning
Baseline ML model
The Graph Analysis Engine aggregates these anomalies into a problem
Experts
Graph Analysis Engine
System Model
anomalies
Clear Alert
Outcome
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www.bazan.co.il Polyolefins – Business Unit
Why We Chose Precognize
Coverage of the entire plant You never know where the next failure will appear
Unique advanced technology combining machine learning together with plant knowledge alerting of true failures and not anomaly detection
Up to 5 accurate alerts per day, avoiding alert fatigue
Clear ROI
$
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Benefits for Bazan
Constant finger on the
pulse
Spotlight on the darkest
corners
Management can see
EVERYTHING
Change of paradigm: Predicting failures,
NOT reacting to ones that already happened
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www.bazan.co.il Polyolefins – Business Unit
Innovation and Cooperation
Innovative Israeli start-up with a designated solution for the process industry
Industrial corporation adopting Industry 4.0
Desire to cooperate to maximize solution’s benefits
• Weekly meetings for project review, feedback, and new ideas
• Short development cycles of new ideas and testing in live implementation
Israeli cooperation between corporation and startup enhances Industry 4.0 solutions and the Israeli ecosystem
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Ohad Nahari, Bazan [email protected]
Aviel First, Precognize [email protected]
Thank You