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Industry leaders say they believe oil and gas will continue to play a pivotal role in the energy mix in the lengthening energy transition timeline.

To enable a fully interventionless approach, a barrier-rated tubing-hanger valve has been developed to eliminate slickline intervention and minimize associated risks and operational time.

This paper describes a deep-learning image-processing model that uses videos captured by a specialized optical gas-imaging camera to detect natural gas leaks.

In this year’s Heavy Oil feature, it’s clear that, even as many enhanced recovery techniques become established and mainstream, supporting technologies continue to march forward to allow a better and more-robust understanding of our trade.

This paper explores the sustainability and safety aspects of laser perforation with a focus on factors such as water requirement, asset integrity, logistics, safety, and surface footprint.

This paper describes an intelligent completion system in the context of multiple wells that, by electrifying the process, replaces the conventional electrohydraulic systems that have been in use for decades.

This paper analyses the Global Biodiversity Framework and its relevance to the transitioning energy system, documenting the work that has been completed and that which is still ongoing.

This paper aims to present thoroughly the application of subsurface safety injection valves in extremely high-temperature environments.

This paper aims to provide insights to address the challenge of identifying the optimal point within the gas-processing lineup for recovering a high-purity CO₂ stream suitable for sequestration.

Recently, artificial intelligence (AI), deep learning (DL), and machine learning (ML) have taken natural gas processing and handling on a new trajectory, replacing complex simulation runs.