Search results for:

The operator finds around 180 million bbl at Krabdagu, water at Rasper.

This paper explains how machine learning and physiology can be used to improve rig technical training by monitoring the operator’s stress, leading to targeted training to manage such situations better.

While the upstream industry continues to incorporate and develop advances in automation and machine learning (ML), its professionals remain dedicated to safety and security, using these technologies to help maintain high standards and achieve new goals.

For those with an oil company to sell, an oil price of $100/bbl is not what it used to be.

In this work, novel physics-based models and machine-learning models are presented and compared for estimating permanent-downhole-gauge measurements.

The paper provides insights on diffusion in organic matter to correct a primary source of underestimation of gas production in shale-gas models.

In current offshore operations—with an emphasis on environmental, social, and governance performance—subsea has an increasingly important role to play. Subsea tiebacks in particular offer opportunities to increase asset productivity while minimizing environmental impact on an incremental production-per-barrel basis.

Partnerships flourish in offshore wind, while Equinor expands its renewables drive and solar companies in the US come together to shore up the supply chain ahead of increased demand.

The well plan follows a memorandum of understanding covering natural gas cooperation in the region.

The paper provides an approach to mitigating the adverse effects of mercury found in production fields, including treatment-facility requirements and suitable technologies for production fields and onshore facilities.