James Freeman - Big Data in Oil and Gas Fi8eld Surveillance
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Transcript of James Freeman - Big Data in Oil and Gas Fi8eld Surveillance
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“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
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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
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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
ZediNetwork
Source:Upstream and
midstream gathering system
Transport
ValidateStoreAdd Value
Display
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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
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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
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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
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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
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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
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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
Stri
ng
Displacement of Rod String
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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
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Examples of Production Data
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A typical, healthy gas well.
Time
Stat
ic P
ress
ure
Diff
eren
tial
Pre
ssur
e
Temperature
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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
Stat
ic P
ress
ure
Diff
eren
tial
Pre
ssur
e
Temperature
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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
Stat
ic P
ress
ure
Diff
eren
tial
Pre
ssur
e
Temperature
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Examples of production data
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Time
Stat
ic P
ress
ure
Diff
eren
tial
Pre
ssur
e
Temperature
A gas well with plunger lift cycles building up and then releasing pressure
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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 alarmsOpen- 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
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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
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Questions?
James Freeman, P.Eng.Chief Marketing Officer
+1 780 701-3007
LinkedIn: http://www.linkedin.com/in/jamesfreeman1
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