ADNOC

Carbon storage specialist Storegga joins Petronas and ADNOC in a joint study to strategize the build-out of Malaysia’s offshore as a regional CCS hub.

The company says the field has achieved a 25% production capacity increase through the user of advanced digital technology.

This paper describes an approach that combines rock typing and machine-learning neural-network techniques to predict the permeability of heterogeneous carbonate formations accurately.

Implemented for the first time offshore, the technology uses artificial intelligence to operate wells autonomously.

Updates about global exploration and production activities and developments.

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 paper discusses the benefits of glass-reinforced-epoxy-lined carbon steel for tubulars, which provides long-lasting protection resulting in major cost savings throughout the life cycle.

This paper describes the stimulation of a horizontal water-injection well with a limited-entry-liner completion in an onshore carbonate reservoir using a large volume of viscoelastic diverter-acid fluid system ahead of the main acid stage.

The partnership aims to use artificial intelligence and advanced robotics to accelerate the adoption of technologies for predictive maintenance.

The new award accompanies the creation of an unconventional drilling subsidiary and potential equity deals with SLB and Patterson-UTI.