“Big Data in Oil & Gas Field Surveillance”James Freeman, P. Eng. Chief Marketing OfficerZedi Inc.“Analytics, Big Data and the Cloud” Conference, April 24, 2012
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Who is Zedi?
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• Established in 1987• Global Headquarters in Calgary• Edmonton Research Park• 550 Employees and Contractors in 17 offices in
Canada and the USA• 900 upstream and midstream Oil & Gas
customers in Canada, the USA, and in 23 other countries
• Top-line revenue in 2011 of $92 million• ZED on the TSX-V• A recognized Great Place to Work for the past four
years by the Great Places to Work® Institute
What does Zedi do?
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Exploration ReclamationOperations
Zedi provides services enabled by people and technology to upstream and midstream customers in the Oil & Gas Industry
These services help our customers:
•Avoid Downtime•Reduce Operating Costs•Address HS&E challenges•Improve Compliance with Industry Directives
We help customers Realize Production Potential
How does Zedi do this?
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Zedi runs its business as a cloud-based service capturing accurate, timely data from the well-
site
TelecomNetwork
TelecomNetwork
ZediNetwork
ZediNetwork
Source:Upstream and
midstream gathering system
Transport
ValidateStoreAdd Value
Display
How does Zedi get data?
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1. Field Management Solutions•Produce, Monitor, Alarm, Control•Near-real-time (minute, hourly)
Smart Alek®
MTRAC®
Zedi ConnectTM
SCADA
SilverJackTM
The richest source of timely, accurate, actionable data comes from real-time monitoring at the well-site
How does Zedi get data?
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2. Central Processing•Historical Data•Daily resolution, gathered daily, weekly or monthly
3. Data Exchange•Varying frequencies and resolutions
Zedi also gathers historical data by means of manual collection or via third-party systems
Zedi DataExchangeTM
Zedi EFM Walk-up
Zedi True ChartTM
How do we view the data?
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Zedi offers SaaS tools to view and analyze the various types of data we collect
Data Management Solutions•Analyze, Report
Zedi AccessTM
Zedi VitalTM
Zedi DashboardsTM
What type of data do we collect?
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1. Customer Data
Zedi is using industry tools to monitor customer behaviour today, but this will move towards segmentation and persona-based modeling
Server-based: Monitoring customer visits and browser type via Google Analytics
What type of data do we collect?
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2. Operational Data
Field-based: Operational Datafrom a SilverJack ControllerTM
Server-based: Operational Data and Apdex score from New Relic monitoring Software
As a cloud-based server provider, we need to monitor the health of the assets supporting our
customer’s production process
What type of data do we collect?
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Pump cards showing load on the rod string as a function of displacement during the stroke cycle
Load
on
Rod
Str
ing
Displacement of Rod String
What type of data do we collect?
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3. Production Data
Volume or mass flow rates of fluids can be determined using the Bernoulli principle/equations
Examples of Production Data
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A typical, healthy gas well.
Time
Sta
tic P
ressu
re
Diff
ere
nti
al P
ressu
re
Temperature
Examples of Production Data
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A gas well that is showing random but somewhat intermittent behaviour. This could be attributable to
water slugging in the well bore
Time
Sta
tic P
ressu
re
Diff
ere
nti
al P
ressu
re
Temperature
Examples of Production Data
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A struggling gas well showing intermittent behaviour, potentially because of impact of other
wells sharing pipeline or the reservoir
Time
Sta
tic P
ressu
re
Diff
ere
nti
al P
ressu
re
Temperature
Examples of production data
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Time
Sta
tic P
ressu
re
Diff
ere
nti
al P
ressu
re
Temperature
A gas well with plunger lift cycles building up and then releasing pressure
What do we do with the data?
Reporting Compliance and Auditing (Today)• Cash-flow and payments to ERCB and partners
Static Alarm Thresholds (Today)• Customer configures alarms for individual sensors/data types• Set High and Low Process Control Limits to create server or
field-based alarms
Open- and Closed-Loop Control (Today)• Enable remote control of the well through the SaaS offering
based on observed data to effect changes in well behaviour (Human feedback loop)
• Enable autonomous control of the well locally at the well through intelligent instrumentation (Algorithmic feedback loop)
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Report, Alarm, Control
Future Analytics development
Adaptive Alarm Thresholds• Algorithms monitor underlying process and adjust control
limits if appropriatePredictive Process Behaviour
• Look for patterns in historical production data to predict future well behaviour
Customer Analytics • Profiling into User Personas and study software grazing
patterns to optimize work-flow design or recommend additional tools that might add value
Condition-based maintenance• Sensors report various operations pieces of data that are then
analyzed to predict when servicing or preventative maintenance might be required
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What comes next?
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• Continue to develop Analytics Program through a combination of internal investments and partnerships• Signed a five-year agreement with TR
Labs in February 2012 for an ongoing Data Analytics program
• Build Partnerships with talented companies interested in doing analytics work in Oil & Gas
Zedi is committed to transforming data to help upstream and midstream customers realize their production potential
Questions?
James Freeman, P.Eng.Chief Marketing Officer
+1 780 701-3007
LinkedIn: http://www.linkedin.com/in/jamesfreeman1
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