DSDE: Features

In the Marcellus, Repsol is slicing and dicing legacy data to evolve its completions strategy, while in the Permian, ExxonMobil is mastering the 4-mile lateral drillout using lessons learned.

The path forward is not just about automation—it is about augmentation. AI is not replacing human expertise; it is amplifying it. Those who master this balance will define the future of oil and gas in a rapidly evolving energy landscape.

This month’s column reviews the evolution of our membership, focusing on young professional members whose demography is a point of concern.

Chevron’s announcement comes on the heels of ExxonMobil’s announcement in December of a similar project to deliver natural gas-fueled electricity to US data centers.

From optimizing drilling performance to enhancing worker safety, computer vision can change how the industry works.

A recent survey conducted by Rackspace Technology reveals new attitudes about using the cloud, including a change from using the public cloud to using private, on-site clouds or a hybrid of the two.

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.

Virtual reality and related visualization technologies are helping reshape how the industry views 3D data, makes decisions, and trains personnel.

This month’s column offers a review of the perceived quality of SPE's publications and how this perceived quality could affect the value and impact of SPE's generative AI deliverables. Quality can be subjective, so this column focuses on key publication indicators before assessing remedial options in a future column.

Leading drilling consultant John de Wardt separates hype from reality and explores what’s ahead in this interview with JPT.