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The ruling said the US Department of Energy must resume reviewing permits for domestic LNG export projects.

Automated workflow unifies geological, completion, and production data to inform speedier, better investment decisions for nonoperated assets.

Houston-based enhanced geothermal systems pioneer uses fracturing and other oil and gas technologies to stabilize power grids with zero-carbon renewable energy that doesn’t depend on the weather.

First three wells of deepwater Gulf of Mexico project expected to jointly produce 22,000 BOE/D to the nearby host facility.

The 2-day event hosted in Turin, Italy, provided a common platform across various disciplines, spotlighting the notable scientific and technical advancements in the energy transition.

Chevron recently revealed new details about its first-of-a-kind deepwater development in the Gulf of Mexico. We’ve picked some of the most interesting to share with you here.

Digital transformation presents a crucial opportunity to cut costs across business domains. This review explores unique digital transformation opportunities in the petroleum industry, highlighting valuable business process automations that can drive significant benefits.

Both new and old vessels are benefiting from automation processes that can improve operational efficiency, predict downtime, and debottleneck workflows using a flurry of crucial data points.

The Savvy Separator series continues as we share case studies of troubleshooting separator problems. This article focuses on installation issues. Brief problem statements, root causes, and lessons learned are given.

The authors of this paper review the advantages of machine learning in complex compositional reservoir simulations to determine fluid properties such as critical temperature and saturation pressure.

This work presents an integrated multiphase flow model for downhole pressure predictions that produces relatively more-accurate downhole pressure predictions under wide flowing conditions while maintaining a simple form.

This paper details how the reservoir modeling workflow can be accelerated, and uncertainty reduced, even for challenging greenfield prospects by constructing multiple small fit-for-purpose integrated adaptive models.