Monday, January 30
Welcome Remarks by Workshop Chairs
Janka Coppens, AVP of Data & AI, ATB Financial
Join us for a conversation on ATB's progress in creating value from their Data and differentiating the client experience through cloud modernization, creating improved enterprise focus and alignment, and infusing a data driven cultural change across the enterprise.
Coding has been a common cornerstone for data enthusiasts. This session will reveal approaches on how to start coding and persevere through debugging, examine common pitfalls in coding and showcase effective approaches in data manipulation without writing gazillion lines of code. Come and become a pro or remain a noob. YOUR CHOICE!
- SQL (Relational) vs NoSQL (Non-relational) Database
- Noha Salem,PwC
- How to Start Coding
- Thomas Zhao, McDaniel
- Core Principles and Concepts for Navigating Complex Data Science: From Non-Coding Engineer to "Unicorn"
- Scott McKean, Chevron
Case studies are stories about how people navigate real life challenges. In this session, presenters will share their experience with data analytics and machine learning applications which bridge the gap between theory and practice. Get ready to take a deep dive into advanced topics, engage, and learn together.
- Automated Detection of Wellhead Steam Release from Video Feed
- Michael Tenove, ConocoPhillips
- Wells, Python, & Workflows. Using ORM to Interface with Data
- Scott Pinckston, Crescent Point Energy
- Prediction and Explanations for Geothermal Machine Learning
- Roman Shor and Gias Uddin, University of Calgary
For those who are starting out in the sea of analytics and data science and wondering, ‘What’s the best tool for the job?’ and ‘What are some foundational skills in exploring data with R, Python, PowerBI, Spotfire and other tools?’. This session will explore matching the right tools for the right job, basic best practices and building sustainable data science projects that can be updated and maintained well into your data science journey. Descriptive tools (PBI, Tableau); predictive tools (governance, version control, how you use them).
- Getting Data Back into Data Analytics
- Trudy Curtis, PPDM Association
Data Pipelines and Tools to Integrate with Power BI and Spotfire
Steve Dolha and Ryan Mross, Cadeon
- Sustainable Practices and Clean Code
- Chris Petr, CNOOC International
How is machine learning being leveraged today within the oil and gas sector? In this session learn from multiple real world machine learning use cases taking a deep dive into various aspects of the ML workflow with a focus on providing tools and techniques to be applied to your next ML project.
- Evolution and Workflow of Electrical Demand Model and the First Regulator-Approved PEMS Model
- Brett Wiens, Cenovus Energy
Feature Selection and Optimization for Modeling Liquids Production in Western Canada
Ian Vincelli and Trevor Rix, Enverus
Valuing Our Data and Avoiding Scam Artists
Tyler Schlosser, McDaniel
It’s not all coding in python and R, and it’s not all geology and engineering. Analytics has been a part of this industry since the early days and this session will introduce the audience to broad applications of analytics in our industry and how some of the traditional analytical methods may be evolving.
- Marketing Analytics
- Slavko Uzelac, Shell
- Evolution of Reserves and Evaluations
- Oluyemisi Jeje, Sproule
- Pumpjack/Artificial Lift Analytics
- Kim St.Georges, Microsoft
Near real time analytics session shares the best practices of data analytics, and artificial intelligence, that are being developed/adopted by the companies in/out of oil and gas sector. In this session exciting projects using real-time/near-time analytics will be showcased for example using real-time data to predict screen out or emission quantification using image processing, etc.
- Remote Operating Centre - Real-time Analytics
- Mike Mutrie and Michael Clark, PETRONAS Canada
- Drilling Optimization Using Real-Time Analytics
- Ignacio Garda, Halliburton
- Real-Time Setpoint Optimization at the Edge
- Vikas Jain, SLB
- Extraction Optimization Advisor
- Rajan Patel, Suncor
Tuesday, January 31
Day 2 will kick off with a recap of key insights from both tracks of the first day followed by a philosophical presentation laying the groundwork for an interactive example that will highlight how to complete a scalable analysis that provides valuable business insights and what challenges data scientists face in typical deployments today.
- Key Messages From Day One
- David Vu, CNOOC International
- Barriers and Best Practices on the Path to a Data-Driven Culture
- David Fulford, EIV Capital
In this session, you'll hear from the battle hardened warriors who deployed analytics inside small, medium, and large organizations. They'll share how to start and how to scale along with practical tips and calls to action for your own analytics journey, guided by passionate and experienced facilitators.
Panel Discussion 1:
1030 - 1110 How to Start: Setting Up an Org Model and Whether to Grow or Hire Skill
- Mark Derry, Cenovus Energy
- Shayne Chidlaw, Rife Resources; Mike Henry, ARC Resources
Interactive Working Session:
1110 – 1150 How To Sell: Understanding Value Drivers, Using Meaningful Metrics, and Telling the Story
Abstract: Many of us have heard that “what gets measured gets improved”, but do you ever feel like you are faced with a growing list of insignificant metrics, or worse yet, no metrics at all for performance management? This interactive session will allow you to work through a proven methodology for creating meaningful metrics across the entire petroleum value chain in a fictional team environment with a very real time crunch. The results will be shared and can be deployed and adapted to suit your organization or teams’ needs. Full Abstract Attached
- Rabee Alwan, Spartan Controls; Brad Decker, Shell; Melanie Popp, PwC
Panel Discussion 2:
1150– 1230 How to Scale: Accelerating Solution Delivery and Buy vs. Build Decisions
- Brian Emmerson, Suncor
- Vikas Jain, SLB; Grant Lee, Chevron
This session will provide an opportunity to explore several perspectives on how to lead analytic teams in your organization. We will examine how analytic teams are approached at both large and small organizations and then have a breakout session.
Topic 1: Intake for Business Support - How can you protect the analytics teams time from getting overwhelmed with ad-hoc requests?
Topic 2: Creating Value - What role does the analytics team play in ensuring products deliver value to the business?
Topic 3: Model Development, Deployment, and Maintenance - What tools and process does your team use for effective project management?
Topic 4: Maintaining Talent - How do you incentivize talent to stay within the organization?
- Lee Grant, Birchcliff Energy
- Stacey G. McLennan-Waldal, PwC
- Sheldon Wall, Suncor