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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,

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Presentation on theme: "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,"— Presentation transcript:

1 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 1

2 Who is Zedi? 2 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 What does Zedi do? 3 Exploration Reclamation Operations 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

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

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

6 How does Zedi get data? 6 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 Data Exchange TM Zedi EFM Walk-up Zedi True Chart TM

7 How do we view the data? 7 Zedi offers SaaS tools to view and analyze the various types of data we collect Data Management Solutions Analyze, Report Zedi Access TM Zedi Vital TM Zedi Dashboards TM

8 What type of data do we collect? 8 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

9 What type of data do we collect? 9 2. Operational Data Field-based: Operational Data from a SilverJack Controller TM 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 customers production process

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

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

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

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

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

15 Examples of production data 15 Time Static Pressure Differential Pressure Temperature 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) 16 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 17

18 What comes next? 18 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 James.freeman@zedi.ca www.zedi.ca +1 780 701-3007 LinkedIn: http://www.linkedin.com/in/jamesfreeman1 http://www.linkedin.com/in/jamesfreeman1 19


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