top of page
Copy of Data Science Mentorship Program 2022 (2).png

SPE Calgary Data Science Mentorship Program 2022

About the program

The Data Science Mentorship Program (DSMP) is a joint project between the SPE Calgary Young Professionals and the SPE Calgary Data Science & Engineering Analytics Special Interest Group. The program was first launched in Spring 2021 with 50 mentees and 15 mentors. With the overwhelming demand and positive feedback from past year participants, we are continuing the program next year, in Spring 2022.


The program’s purpose is to provide practical and learning opportunities to students and professionals who are interested in learning and applying data science techniques in the Energy Industry, with the guidance and support from industry experts. We have seen people graduating from this program apply what they learn in their current positions, and some even manage to take that further and successfully pivot their careers. Regardless of where our mentors and mentees are in their career, we want to build a community together and share our passion for the energy industry and data science.

Data Science Experience Level: Beginner, Intermediate & Advanced

Target Applicants:

  • Mentees:

         SPE Members (Students and Professionals) in Alberta.

         *Applications are open to both SPE members and non-members, however placement preference will be given to SPE Members.

  • Mentors:

         Data Science Professionals in Energy, willing to volunteer their time, share their experience and knowledge.


  • Nov 12: Application link opens

  • Jan 31: Application deadline

  • Feb 1: Program starts, mentor/mentee matching

  • July 29: Program ends, groups give presentations


1. What kind of projects do the program participants work on? Will the organizers assign the project?

It is a flexible program. Last year, we had some mentors and mentees choosing their own projects, while others came to the organizers for ideas. Below is a list of all the projects the Spring 2021 groups worked on:

  • Exploring the Permian – Predicting production using a random forest regressor model focused on the Permian Basin.

  • Volve Field Case Study – Predicting Porosity Using Well Log Data from 24 wells; Time Series Forecasting of Production & Injection Rates.

  • Drilling Time Optimization – Developed a tool that ingests drilling data, maps/cleans the data, and then calculates client metrics in real time.

  • Steamflood Area Performance Improvement – Data visualization of large datasets to monitor various production metrics.

  • Scale Tendency Prediction – Predicting scaling tendency for Montney wells, based on formation water, TVD, and other parameters.

  • Impact of COVID-19 on Air Quality – Interactive Web Application for the visualization of changes in city air quality around the world.

  • Predicting Estimated Ultimate Recovery (EUR) – Using Machine learning models to predict Estimated Ultimate Recovery (EUR), from well production data.

  • Mars Rover Pictures – Built a model for object recognition in images.

  • Forecasting Electricity Prices in Alberta – Multiple supervised ML models were used to forecast Alberta electricity prices using publicly available data. These results were showcased in an interactive web application.

  • Predicting Production in the BC Montney – Decision trees and other modelling approaches were used to predict production rates in the BC Montney using 34 features.

2. Is there a cap for the program? What is the mentor to mentee ratio?

Yes, our goal this year is to have around 100 mentees and 25 mentors. The mentor to mentee ratio varies, but we would like to have 1 mentor matched to 2-4 mentees.

During the Spring 2021 intake, 200 mentees applied for the program but only 50 were accepted to the program as it was the first year for the program. The mentor to mentee ratio last year was 1 mentor to 3 mentees.

3. Is the program free?

A mentee registration fee of $20 is required upon acceptance into the program.

4. As a mentor, what is expected of me?

Mentors provide leadership, guidance and help to the mentees for all of their data science questions, as well as work together on a data science project. Mentors are free to provide their own data and project for their mentees or they work together to decide on the project. The time commitment we have suggested is 1-4 hours/week for the 6 month formal program time frame. The deliverable at the end of the program is a presentation of your results similar to this datathon grand prize winner: 2020 Datathon Grand Prize Submission -  Mighty DUC Hunters - Youtube. Mentors also have the ability to choose how many mentees they would like to work with. The expectation is that the team of mentees work together to help each other while also working under the mentor’s guidance.

5. I would like to use a project from my employer, but they require confidentiality, is that okay?

While it is okay to have the mentees sign a confidentiality agreement, the mentees should be allowed to talk about the project and what they worked on. The mentees are expecting to learn more about data science and then likely showcase their new skills and experience. So, while mentees may not be able to share the data or results directly, they should have the ability to present or showcase their work.

For more information, contact

To register as either a mentee or a mentor of this program, please follow the links below and fill out the form.

SPE Calgary 2022 Data Science Mentee Survey

SPE Calgary 2022 Data Science Mentor Survey

bottom of page