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In this study, artificial-intelligence techniques are used to estimate and predict well status in offshore areas using a combination of surface and subsurface parameters.

Geothermal energy in the US has historically been concentrated in the West due to favorable geology, but emerging technologies have expanded the possibilities.

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

The objective of this paper is to outline the importance of new standards for studying hydraulic sealability of barrier materials, with an emphasis on interface analysis.

The authors of this paper describe how deployment of dual-casing cement-bond-logging technology has provided critical insights in real time for decision-making on remedial jobs.

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.

Given the diversity of coiled tubing well-intervention data, many acquisition labels are often missing or inaccurate. The authors of this paper present a multimodal framework that automatically identifies job type and technologies used during an acquisition.

Train 1 of the Corpus Christi LNG Stage 3 project is expected to reach substantial completion during the first quarter of 2025.

The Scarborough Energy Project is on track to start delivering liquefied natural gas in 2026.

Australia’s Ichthys LNG facility will provide feedstock, along with production from legacy Japanese gas fields that will also serve as repositories for CO2 storage.