Petroleum Engineer in Training (EIT) with APEGA
I'm a Petroleum Engineer-in-Training (EIT) with APEGA, with growing experience in machine learning, web development, and cloud deployment. I’ve developed and deployed multiple ML-powered applications using tools like Flask, TensorFlow, and SHAP, hosted on platforms such as Azure and Heroku. My work focuses on building practical, user-focused solutions from complex data.
Petroleum Systems Engineering
University of Regina | 2023
A Flask-based web app that predicts U.S. health insurance costs using a linear regression model trained with Azure Machine Learning (R² = 0.95). Built with data from Kaggle and deployed on Heroku. Live Demo | Source Code
A Flask-based app that predicts SBA loan outcomes based on user-provided business details. Trained using Azure Machine Learning with a neural network model with a Kaggle dataset. Live Demo | Source Code
A petroleum engineering capstone project completed as part of the Faculty of Engineering and Applied Science at the University of Regina, in collaboration with Abdulqadir Abdi. This project addressed Canada’s initiative to mitigate greenhouse gas emissions by integrating CO₂ capture from industrial sources with Enhanced Oil Recovery (EOR) and sequestration in the depleted Northminster Field, Saskatchewan.
Methods: The workflow included: (1) Sourcing historical data via AccuMap, (2) Constructing a geological reservoir model, and (3) Utilizing CMG-GEM and CMOST for fluid modeling, history matching, and optimizing three COâ‚‚ injection schemes to balance oil recovery and carbon storage.
Results: The optimal scheme (Case 2) achieved 156,129 tons of CO₂ sequestration and 52,302 barrels of oil production over the well’s life, with an injection rate of 82 tons/day. The net present value reached $57,000 with a $85/ton CO₂ credit, underscoring the economic viability post-1995 with carbon tax incentives. Comparative trials showed varying oil output and CO₂ injection efficiency.
Impact: This project demonstrated a sustainable approach to oil recovery while mitigating environmental impact, with potential applications in carbon credit markets. View Poster
Tools: AccuMap, CMG-GEM, CMOST, economic modeling
Authors: Adam Prpick, Abdulqadir Abdi
Acknowledgments: Grateful to Dr. Michael Dent (IDTechEx Research), faculty members, and external representatives Dr. Farshid Torabi and Dr. Sam Hong for guidance. Thanks to the University of Regina for resources.
Email: aprpick@gmail.com
LinkedIn: linkedin.com/in/a-p-0b319520b
GitHub: github.com/aprpick