1. “Big Data in Oil & Gas Field Surveillance” James Freeman, P. Eng
“Big Data in Oil & Gas Field Surveillance” James Freeman, P. Eng. Chief Marketing Officer Zedi Inc. “Analytics, Big Data and the Cloud” Conference, April 24, 2012

2. Who is Zedi? 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

3. We help customers Realize Production Potential
What does Zedi do?
These services help our customers:
Avoid Downtime
Reduce Operating Costs
Address HS&E challenges
Improve Compliance with Industry Directives
Exploration
Reclamation
Operations
Zedi provides services enabled by people and technology to upstream and midstream customers in the Oil & Gas Industry
We help customers Realize Production Potential

4. Upstream and midstream gathering system
How does Zedi do this?
Display
Transport
Telecom
Network
Zedi
Network
Validate
Store
Add Value
Source:
Upstream and midstream gathering system
Zedi runs its business as a cloud-based service capturing accurate, timely data from the well-site

5. How does Zedi get data? 1. Field Management Solutions
Produce, Monitor, Alarm, Control
Near-real-time (minute, hourly)
SilverJackTM
MTRAC®
Smart Alek®
Zedi ConnectTM
SCADA
The richest source of timely, accurate, actionable data comes from real-time monitoring at the well-site

6. How does Zedi get data? 2. Central Processing Historical Data
Daily resolution, gathered daily, weekly or monthly
3. Data Exchange
Varying frequencies and resolutions
Zedi Data
ExchangeTM
Zedi EFM Walk-up
Zedi True ChartTM
Zedi also gathers historical data by means of manual collection or via third-party systems

7. How do we view the data? Zedi DashboardsTM Zedi VitalTM Zedi AccessTM
Data Management Solutions
Analyze, Report
Zedi AccessTM
Zedi offers SaaS tools to view and analyze the various types of data we collect

8. What type of data do we collect?
1. Customer Data
Server-based: Monitoring customer visits and browser type via Google Analytics
Zedi is using industry tools to monitor customer behaviour today, but this will move towards segmentation and persona-based modeling

9. What type of data do we collect?
2. Operational Data
Field-based: Operational Data
from 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

10. What type of data do we collect?
Load on Rod String
Displacement of Rod String
Pump cards showing load on the rod string as a function of displacement during the stroke cycle

11. What type of data do we collect?
3. Production Data
Volume or mass flow rates of fluids can be determined using the Bernoulli principle/equations

12. Examples of Production Data
Static Pressure
Differential Pressure
Temperature
Time
A typical, healthy gas well.

13. Examples of Production Data
Temperature
Static Pressure
Differential Pressure
Time
A gas well that is showing random but somewhat intermittent behaviour. This could be attributable to water slugging in the well bore

14. Examples of Production Data
Static Pressure
Differential Pressure
Temperature
Time
A struggling gas well showing intermittent behaviour, potentially because of impact of other wells sharing pipeline or the reservoir

15. Examples of production data
Static Pressure
Differential Pressure
Temperature
Time
A gas well with plunger lift cycles building up and then releasing pressure

16. 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)
Report, Alarm, Control

17. Future Analytics development
Adaptive Alarm Thresholds
Algorithms monitor underlying process and adjust control limits if appropriate
Predictive 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

18. What comes next?
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

19. Questions? James Freeman, P.Eng. Chief Marketing Officer
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