Operations Engineering

Presented by Shayne Chidlaw at an Untapped Energy event in Calgary, AB this session explored the critical role of data historians in operations. With nearly 30 years of experience in Canada’s petroleum industry, Shayne shared her transition from geology to digital systems and offered a practical deep dive into historian implementation. The talk covered real-world use cases in oil and gas, key pitfalls to avoid, and best practices for organizing, integrating, and contextualizing high-frequency sensor data. Attendees gained a clear understanding of how data historians can transform raw operational data into trusted, decision-ready intelligence.
Daniel Mawunyo Doe, Prabhu Srinivasan, Shane Pollock, Huzeifa Ismail
Energy efficiency is crucial for the oil and gas industry, where operational costs and environmental impact are under constant scrutiny. Predicting and managing electrical consumption and peak demand accurately, especially with the variability of weather conditions, is a significant challenge. This work presents a neural network model trained on historical weather and electrical data to forecast electrical consumption, peak demand, and power factor.
Daniel Mawunyo Doe, Prabhu Srinivasan, Shane Pollock, Huzeifa Ismail