Publications
Meaningful Innovation Happens Through Collaboration
Publications
We believe that meaningful innovation happens through collaboration. That’s why we actively co-author technical papers, white papers, and presentations with field experts and industry leaders.
By combining deep scientific expertise with real-world operational insights, we ensure that our contributions not only advance the state of knowledge but also provide practical value to the industries we serve. This reflects our commitment to thought leadership and driving progress across the energy sector and beyond.
ESG, HSE, Oil&Gas
This study provides valuable insights into the carbon emissions associated with crude oil and gas production in two key regions of the U.S., the Permian Basin (PB) and the Gulf of Mexico (GOM). The findings highlight the variation in carbon intensity between the two regions, shedding light on factors that contribute to deviations in emissions.
Dr. Huzeifa Ismail, Ama Motiwala
ESG, HSE, SPE, Oil&Gas, Murphy Oil Corporation
Behavior-based safety is not a new concept nor is it new at Murphy Oil. But when Murphy launched its Safety Observation Program as a digital tool, it revitalized the way the culture of safety spread throughout the company.
Huzeifa Ismail, Aaron Makemson, Chris Young
Data Historian, CanaryLabs, SPE, Oil&Gas, Murphy Oil Corporation
In 2018, Murphy Oil launched an initiative to open-source all internal live streaming data to its engineers. The process led it to implement a global data historian and a corresponding visualization tool. The insights provided are shaping the future of operations at the company.
Huzeifa Ismail, Francisco Ruiz, Thomas Nix
ESG, HSE, SPE, Oil&Gas, Murphy Oil Corporation, COVID
The pandemic has been an unexpected jolt for the global economy, bringing many industries to a halt. Murphy has taken a step forward into a digital future by designing and implementing a COVID-19 tracking app that is easy to use, quick, and convenient.
Thomas J. Mireles, Huzeifa Ismail, Gil Martinez, David Rainwater
Data Historian, CanaryLabs, SPE, Oil&Gas, Murphy Oil Corporation
In 2018, Murphy Oil launched an initiative to open-source all internal live streaming data to its engineers. The process led it to implement a global data historian and a corresponding visualization tool. The insights provided are shaping the future of operations at the company.
Huzeifa Ismail, Francisco Ruiz, Thomas Nix
Data Historian, CanaryLabs, SPE, Oil&Gas, Murphy Oil Corporation
This study examines the implementation of a predictive maintenance method using artificial intelligence and machine learning for offshore rotating production-critical equipment. Conducted over 2 years at Murphy Oil’s deepwater platforms in the Gulf of Mexico, the project aimed to detect equipment issues early, reduce downtime, and streamline maintenance processes.
Bilal Hussain, Andrea Vigueras, David Jones, Graeme Smith, Huzeifa Ismail
Oil&Gas, Operations, SPE, Sanchez Oil
Digital is replacing manual at Sanchez Oil & Gas. Since its implementation in 2017, the company’s Production Maintenance Tracker application has been transforming its operations management by bringing together all the assets, departments, and routes into one hub.
Justin Bender, Khuzema Sunel, Leslie Malone
Oil&Gas, Operations, SPE, Murphy Oil Corporation
Murphy Oil has created a work flow to normalize the tags it uses when collecting data on its hydraulic fracturing stages. The work flow described here empowers decision makers, who no longer wait for hours to collect data or waste hours cleaning and preparing data for analysis.
Molly Smith, Sarah Carr , Huzeifa Ismail
Oil&Gas, Operations, SPE, Murphy Oil Corporation
Tropical storms severely affect oil and gas production in the Gulf of Mexico, especially during the storm season from June to December. Offshore well managers often need to shut down operations and evacuate the facility because of storm alerts. The purpose of this paper is to determine the effect of storms on production by quantifying metrics such as downtime days and downtime percentage after the storm has passed and whether a facility’s platform type affected these metrics.
Olasimbo Ogunde, Huzeifa Ismail
Oil&Gas, Operations, Completions, SPE, Murphy Oil Corporation
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
Oil&Gas, Operations, SPE, Murphy Oil Corporation
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
Oil&Gas, Production Chemistry, LBCG, Presentation, Murphy Oil Corporation
Implementing a Metric-Driven Chemical Management Program Presentation
Dr. Huzeifa Ismail, Leslie Malone
Oil&Gas, Production Chemistry, Batch Treatment Program, Murphy Oil Corporation
Economical oil extraction depends largely on reducing wear and tear of downhole equipment and tubulars through regular monitoring and batch treatment to cut the risk of corrosion and costly workovers. Having a data-driven approach to scheduling batch treatment can bring down the frequency of treatment and avoid the unnecessary use of resources.
Tom Krawietz, Alex Ostertag, Huzeifa Ismail
Oil&Gas, Operations, Downtime, Drilling, Murphy Oil Corporation
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
Oil&Gas, Operations, LLM, GenAI, Subsurface Engineering, Murphy Oil Corporation
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
Oil&Gas, Operations, LLM, GenAI, Operations Engineering, Vermilion Energy
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
This study provides valuable insights into the carbon emissions associated with crude oil and gas production in two key regions of the U.S., the Permian Basin (PB) and the Gulf of Mexico (GOM). The findings highlight the variation in carbon intensity between the two regions, shedding light on factors that contribute to deviations in emissions.
Dr. Huzeifa Ismail, Ama Motiwala
A new tool developed by Kosmos Energy is allowing the exploration and production company to keep better track of the effect it is having on the environment.
Lee Thomas, Gisele Gros-Dubois, Ama Motiwala, Talha Choudhary
Behavior-based safety is not a new concept nor is it new at Murphy Oil. But when Murphy launched its Safety Observation Program as a digital tool, it revitalized the way the culture of safety spread throughout the company.
Huzeifa Ismail, Aaron Makemson, Chris Young
The pandemic has been an unexpected jolt for the global economy, bringing many industries to a halt. Murphy has taken a step forward into a digital future by designing and implementing a COVID-19 tracking app that is easy to use, quick, and convenient.
Thomas J. Mireles, Huzeifa Ismail, Gil Martinez, David Rainwater
In 2018, Murphy Oil launched an initiative to open-source all internal live streaming data to its engineers. The process led it to implement a global data historian and a corresponding visualization tool. The insights provided are shaping the future of operations at the company.
Huzeifa Ismail, Francisco Ruiz, Thomas Nix
This study examines the implementation of a predictive maintenance method using artificial intelligence and machine learning for offshore rotating production-critical equipment. Conducted over 2 years at Murphy Oil’s deepwater platforms in the Gulf of Mexico, the project aimed to detect equipment issues early, reduce downtime, and streamline maintenance processes.
Bilal Hussain, Andrea Vigueras, David Jones, Graeme Smith, Huzeifa Ismail
Digital is replacing manual at Sanchez Oil & Gas. Since its implementation in 2017, the company’s Production Maintenance Tracker application has been transforming its operations management by bringing together all the assets, departments, and routes into one hub.
Justin Bender, Khuzema Sunel, Leslie Malone
Murphy Oil has created a work flow to normalize the tags it uses when collecting data on its hydraulic fracturing stages. The work flow described here empowers decision makers, who no longer wait for hours to collect data or waste hours cleaning and preparing data for analysis.
Molly Smith, Sarah Carr , Huzeifa Ismail
Tropical storms severely affect oil and gas production in the Gulf of Mexico, especially during the storm season from June to December. Offshore well managers often need to shut down operations and evacuate the facility because of storm alerts. The purpose of this paper is to determine the effect of storms on production by quantifying metrics such as downtime days and downtime percentage after the storm has passed and whether a facility’s platform type affected these metrics.
Olasimbo Ogunde, 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
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
Implementing a Metric-Driven Chemical Management Program Presentation
Dr. Huzeifa Ismail, Leslie Malone
Economical oil extraction depends largely on reducing wear and tear of downhole equipment and tubulars through regular monitoring and batch treatment to cut the risk of corrosion and costly workovers. Having a data-driven approach to scheduling batch treatment can bring down the frequency of treatment and avoid the unnecessary use of resources.
Tom Krawietz, Alex Ostertag, 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
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
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
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
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
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.
Marty Taha