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Huzeifa Ismail

Founder and Principal Consultant Chirality Research

Dr. Huzeifa Ismail is the founder and principal consultant of Chirality Research, an oil and gas consultancy focused on optimizing workflows through automation. He has more than 16 years of experience addressing challenges for the oil and gas industry in the area of engineering and data science. Ismail holds bachelor’s and master’s degrees from Brandeis University and a PhD degree in chemical physics from the Massachusetts Institute of Technology. He has authored numerous technical articles and patents.

  • A comprehensive, digitized water-management application has been designed to streamline and enhance the monitoring and management of water resources used in hydraulic fracturing.
  • 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 read…
  • 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…
  • 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…
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
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