ADNOC

This paper discusses the approach used to sectorize a mature giant carbonate reservoir located onshore Abu Dhabi for the purposes of reservoir management, offtake, and injection balancing.

Wearable technology aims to take advantage of hands-free functionality to allow workers to perform their duties while maintaining communication remotely with the control room.

Collaboration and technology will help the industry meet its toughest challenges, experts said during the opening session at ATCE.

This paper describes the development of a comprehensive digital solution for well surveillance and field-production optimization for an offshore field consisting of four stacked reservoirs, each containing near-critical fluids.

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.