Operations

Looking at the water chemistry data through a first-principles lens, I could see what was actually happening inside these wells. Iron counts and manganese counts trending upward in a specific pattern, that signature tells you that acid has been pumped without a corrosion inhibitor. The chemistry does not lie. It leaves fingerprints. You just have to know how to read them.
Dr. Huzeifa Ismail
We held one of our recent lunch and learn sessions on something that has been quietly gaining traction across data-forward organizations: Databricks Genie AI. What started as an internal knowledge-sharing session turned into one of the more honest conversations we have had about where AI fits into operational workflows, and where it still falls short.
Ravjot Kaur, Laura Naaykens, Rhonda Rudnitski, Timothy Chan, Parnian Radmand, Sania Hetavkar, Wajia Rahman, Huzeifa Ismail
From tag normalization and metadata validation to asset model creation and dashboard deployment, we build solutions that scale with your business. Backed by thought leadership and real-world case studies, our team combines deep domain expertise with a sharp focus on sustainability, accuracy, and impact.
Marty Taha
This research developed a clear framework for assessing and selecting fit-for-purpose software. The study focuses on the role of a data-driven approach in the decision process, with application to operational software systems in the oil and gas industry. The software industry is growing rapidly, and companies are creating and deploying products to help accomplish everyday activities and strategic goals. There is a constant need to evaluate “buy vs. build” to support optimal operational performance. This is crucial for the oil and gas sector; the choice of the right software serves as a key decision point.
Ravjot Kaur, Laura Naaykens, Rhonda Rudnitski, Timothy Chan, Parnian Radmand, Sania Hetavkar, Wajia Rahman, Huzeifa Ismail
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.
Shayne Chidlaw, Laura Naaykens
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
Routine status reporting often presents a challenge because of its intimidating and time-consuming nature for both employees and supervisors. With large language models, a system was developed to generate coherent artificial-intelligence-driven reports. The goal is to enhance the understanding of overall insights and reduce the time required for individual report reading.
Moksh Dani, Sean Petersen, Minh Nguyen, Ngoc Thao Van Phan, Huzeifa Ismail
Murphy Oil worked across its assets to create a tool called the Global Downtime Report (GDR). The GDR provides a global perspective of operational downtime data, focusing on nonproductive time related to drilling, completion, and production operations.
Huzeifa Ismail, Laura Naaykens, Mark Mick
A technology initiative is changing more than the digital landscape at Murphy Oil. Since its deployment in November 2018, Murphy Labs is changing the very culture of the corporation.
Eric Hambly, Sean Aslam, Huzeifa Ismail
A comprehensive, digitized water-management application has been designed to streamline and enhance the monitoring and management of water resources used in hydraulic fracturing.
Adam McConnell, Molly Smith, Huzeifa Ismail