SPE Workshop: Subsurface Data Analytics 26 - 27 Feb 2019 The Bow Calgary, Alberta, Canada

Schedule

Monday, February 25

08:00 - 17:00
Training Course: Shale Analytics University of Calgary Downtown Campus
Ticketed Event
Instructor(s) Shahab D. Mohaghegh

Please note: This training course is taking place at the University of Calgary Downtown Campus.

This course will demonstrate through actual case studies (and real field data from thousands of shale wells) how to impact well placement, completion, and operational decision-making based on field measurements rather than human biases and preconceived notions.

Topics:

  • Basics of artificial intelligence (AI) and machine learning
  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Introduction to AI-based dynamic modeling

Learn more about this training course.

SPE Member
CAD 750

Nonmember
CAD 950

Tuesday, February 26

07:00 - 07:55
07:00 - 07:55
07:55 - 08:30
Opening Remarks and Keynote
Moderator(s) Ali Esmail, Encana Corporation

Keynote Speaker

Accelerating the Business Impact of Digital   

 

Judy Fairburn, PEng., is a board director, angel/entrepreneurial mentor, former energy executive and innovation champion. She sits on Canada’s Future Skills Council as well as the “Resources of the Future” Economic Strategy Table, is a Creative Destruction Lab Fellow, and is also Co-Chair Innovation for the city’s “Calgary in the New Economy” strategy.  Judy proudly serves on the boards of Tundra Oil & Gas, Veerum Inc. (digital tech) and Calgary Economic Development. She was the first Chief Digital Officer for a Canadian oil and gas company, led substantial change as the first Board Chair of the consolidated Alberta Innovates and co-founded Evok Innovations (tech venture fund).  

08:30 - 10:00
Session 1: Data Preparation, Management and Storage
Session Chairpersons Mark Derry, Husky Energy; Brian Hamm, McDaniel & Associates Consultants

Good data is the foundation for analytics, machine learning and more broadly strategic decision making. Most E&P operators struggle with data viewing it as an expense rather than a competitive asset. How do we utilize the data that we have to its maximum potential? Join us for a discussion about the storage, management and preparation of data for deriving insight and prediction of outcomes in complex systems and reservoirs. 

Presenters:

  1. The Speed of Data
  • Trudy Curtis, Professional Petroleum Data Management (PPDM) Association
  1. The Importance of Data Quality in Machine Learning Pipelines
  • Samir Gupta, Azure Databricks
  1. AI Driven, Data Fueled: Data Preparation, Management and Storage
  • Mervin van der Spuy, ATB
10:00 - 10:30
10:30 - 12:00
Session 2: Exploratory Data Analysis and Inferential Statistics
Session Chairpersons Danial Kaviani, Suncor Energy; Christopher Chalcraft, Chevron Canada Resources

Exploratory data analysis (EDA) is the key step in any data analytics project. By applying different single and multivariate statistical analyses and proper visualizing of the data, the EDA will form focused questions leading to hypotheses and define the forward path of the project. In this session, we will also cover inferential statistics that addresses evaluating different hypotheses based on the data and the number of samples required (in both time and space) to validate them.    

Presenters:

  1. Exploratory Data Analysis and Stimulation Best Practice Identification in California’s Monterey Shale Formation
  • Andrei Popa, Chevron
  1.  The Importance of Exploratory Data Analysis for Machine Learning
  • Scott McKean, Jeffery Priest, Jan Dettmer, David Eaton, University of Calgary
  1. Multiple Linear Regression Can Lead Us Astray: How, Where, When, & Why
  • Angela Dang, Jimmy Zhang, Sean D. Kristjansson, Encana Corporation

 

12:00 - 13:30
13:30 - 15:00
Session 3: Data Analysis Forecasting - Data Driven Models
Session Chairpersons Larry Frederick, Schooner Consulting Inc.; Mazda Irani, RPS Energy

Sensors are being deployed widely, but much of the information that is being gathered and stored is just gathering dust. Some leading companies are reaching into this data and finding useful information that can be correlated to create algorithms that can provide useful predictions. We’ll talk to three companies who are advancing this science.

Presenters:

1. Trialing Completions Technologies - Understanding Results in the Face of Production Variability in the Shaunavon, Bakken and Viking

  • Scott Pinckston, Crescent Point Energy

2. Data Driven Global Proxies and Bayesian Optimization Using Gaussian Processes: Application for History Matching in Unconventionals

  • Hamidreza Hamdi, University of Calgary

3. Thermal Well Production Optimization – A Joint Data Science Solution Led by the Business

  • Mark Andreas, Jonathan Kanderka, MEG Energy; Subbu Annamalai, Baker Hughes, a GE Company
15:00 - 15:30
15:30 - 17:00
Session 4: Predictive Analytics – The Past is the Key to the Future
Session Chairpersons Jeffrey MacDonald, Shell Canada; Patrick Stanley, ConocoPhillips

The previous sessions covered the questions on what happened and why it happened. Predictive analytics is the next step to answer what will happen. Questions such as “how much EUR uplift is expected for a 30% increase in proppant placement?” or “when does a well expect to liquid load?” can be answered. Presentations will help to demystify predictive analytics and showcase examples of its use in business today. Pitfalls and trade-offs between the methods available will be covered along with how statistical models and physical models can co-exist to help improve confidence in predictions.

Presenters:

  1. Better Predictions with Bayesian Statistics – A Toy Model for NHL Outcomes
  • Everett Robinson, ConocoPhillips
  1. An Unsupervised Learning Method for Residual Seismic Signal Recovery
  • Chengbo Li, ConocoPhillips
  1. Oh, For Fox Sake - The Trials and Tribulations of Predictive Analytics for Fox Creek Well Performance (and How Models Can Help)
  • Jeffrey MacDonald, Shell Canada
17:00 - 18:30

Wednesday, February 27

07:00 - 08:00
07:00 - 08:00
08:00 - 09:30
Session 5: Subsurface Analytics
Session Chairpersons Monica Bereznicki, CNOOC International; David Howard, RS Energy

Unlocking the true potential of companies’ subsurface assets now requires unconventional techniques and methodologies to analyze large multidisciplinary data sets. Learn how companies are leveraging analytics to harness massive volumes of data to expand their understanding of the subsurface. This session will address how E&Ps are implementing data analytics for reserve planning, ​analog studies, categorizing reservoir properties, field development planning, forecasting, well productivity and more.

Presenters:

  1. Statistical Methods for Production Allocation of Fluids from Petroleum Reservoirs
  • Mathew Fay, Shell Canada; Nick Shelton, JMP SAS Canada
  1. Top-Down Modeling: A Practical Tool for Digital Transformation of Subsurface Modeling and Decision Making
  • Marwan Mohammed Al Nuaimi, ADNOC
  1. Applied Geosciences and Machine Learning - Spirit River Case Study
  • Bertrand Groulx, Verdazo Analytics Inc.; John Hirschmiller, GLJ Petroleum Consultants

 

09:30 - 10:00
10:00 - 11:30
Session 6: Optimization – Completions and Production
Session Chairpersons Ian Armanious, Repsol Canada; David Szoo, Apache Egypt

This session will discuss how data analytics can assist in identifying key parameters impacting production performance in unconventional horizontal multistage wells and the use of machine learning to identify system bottlenecks and potential for production improvement on existing wells.

Presenters:

  1. It’s (Not) Hip to Be Square –  The Importance of Cost Functions in Production Forecasting
  • David Fulford, Apache Corporation
  1. Under the Hood: Montney Integrated Analytics
  • Lee Grant, Birchcliff Energy
  1.  Montney, Python and the Holy Grail:  The Quest for Maximum Profit
  • Brian Hamm, McDaniel & Associates Consultants
11:30 - 13:00
13:00 - 14:30
Session 7: The Paradigm Shift in Decision Culture - From Instinct to Informed
Session Chairpersons Sean D. Kristjansson, Encana Corporation; Brett Wiens, Cenovus Energy

We are surrounded by an abundance of data, some of it locked away, some of it accessible. In spite of this unprecedented abundance and the tools to harvest and make use of it, decisions continue to be made using gut instinct. How does a culture shift to a decision by analytics? This session will describe the difficulties and barriers in making the shift, as well as best practices, strategies, and tactics to ease the enterprise through the transition.

Presenters:

  1. Overcoming Hurdles in Data Science: Lessons from ATB Financial
  • Dylan Roth, ATB
  1. The Fourth Industrial Revolution and the Future of Work
  • Melanie Popp, geoLOGIC
  1. How to Structure Your Team in the Big Data Era

  • David Howard, RS Energy
14:30 - 15:00
15:00 - 16:00
Session 7 (con’t): The Paradigm Shift in Decision Culture – From Instinct to Informed
Session Chairpersons Sean D. Kristjansson, Encana Corporation; Brett Wiens, Cenovus Energy

We are surrounded by an abundance of data, some of it locked away, some of it accessible. In spite of this unprecedented abundance and the tools to harvest and make use of it, decisions continue to be made using gut instinct. How does a culture shift to a decision by analytics? This session will describe the difficulties and barriers in making the shift, as well as best practices, strategies, and tactics to ease the enterprise through the transition.

Presenters:

  1.  Bridging the Gap Between Analytics and Action – Fostering a New Culture of Decision Making
  • Tristan Arbus, Devon Energy
  1. Creating a Culture of Analytics in Oil and Gas
  • Mark Derry, Husky Energy
16:00 - 17:00
Session 8: Plenary Panel – An In-Depth Discussion on Subsurface Analytics
Moderator(s) Graham Cain, Devon Energy; Bertrand Groulx, Verdazo Analytics Inc.

Subsurface data analytics has advanced significantly in recent years with ever-improving technology and data acquisition possibilities. This panel discussion will explore the successes, the challenges, and the opportunities that the future of subsurface data analytics holds. We will discuss existing datasets that are underutilized in the industry and how to overcome obstacles to leverage them using new and evolving technologies, new datasets that could be acquired to enhance our understanding of the subsurface, and technological advances that will fuel innovation as we strive to optimize business results.

Panelists:

  • Brian Emmerson, Verdazo Analytics Inc.

  • Louis Fabbi, Fabi Analytics
  • David Fulford, Apache Corporation
  • Christopher Petr, CNOOC International