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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 honor recognizes recipients for their lasting and significant contributions in the field of IOR.

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.

Speakers from various disciplines and professions focus on industry trends, challenges, technology applications and advances. Scheduled DL events are in-person meetings only.

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 study describes a technique combining borehole acoustic reflection imaging with production logging in a horizontal well experiencing high water cut with the aim of enabling a mitigation plan.

The retrofit merged enhanced gravity separation with induced gas flotation within the same vessel. Detailed insights into the design, operation, and performance of hybrid flotation systems are provided, offering valuable guidance for similar initiatives in the petroleum industry.

This paper proposes two new methods of accelerating the solidification (or mineralization) of CO2 in subsurface conditions, thus accelerating the cycle of the CO2 storage process.

The aim of this study is to address and discuss the reservoir engineering aspects of geological hydrogen storage.

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.