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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, 2012

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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

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What does Zedi do? Exploration

Operations

Reclamation

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 3


How does Zedi do this? Transport Telecom Telecom Network Network

Source: Upstream and midstream gathering system

Display Zedi Zedi Network Network

Validate Store Add Value

Zedi runs its business as a cloud-based service capturing accurate, timely data from the wellsite

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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 5


How does Zedi get data? 2. Central Processing •Historical Data •Daily resolution, gathered daily, weekly or monthly Zedi EFM Walk-up

3. Data Exchange •Varying frequencies and resolutions Zedi Data ExchangeTM

Zedi True ChartTM

Zedi also gathers historical data by means of manual collection or via third-party systems

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How do we view the data?

Zedi DashboardsTM

Zedi VitalTM

Data Management Solutions •Analyze, Report

Zedi AccessTM

Zedi offers SaaS tools to view and analyze the various types of data we collect

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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

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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

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Load on Rod String

What type of data do we collect?

Displacement of Rod String

Pump cards showing load on the rod string as a function of displacement during the stroke cycle 10


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 11


Differential Pressure

Static Pressure

Examples of Production Data

Temperature

Time

A typical, healthy gas well. 12


Examples of Production Data

Static Pressure

Differential Pressure

Temperature

Time

A gas well that is showing random but somewhat intermittent behaviour. This could be attributable to water slugging in the well bore

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Differential Pressure

Static Pressure

Examples of Production Data

Temperature

Time

A struggling gas well showing intermittent behaviour, potentially because of impact of other wells sharing pipeline or the reservoir

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Static Pressure

Differential Pressure

Examples of production data

Temperature

Time

A gas well with plunger lift cycles building up and then releasing pressure 15


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 16


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

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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 18


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

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James Freeman - Big Data in Oil and Gas Fi8eld Surveillance  
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