SLB

SLB will use artificial intelligence-based software to help ensure the delivery of 18 ultradeepwater wells.

New case studies highlight how artificial intelligence, advanced hardware, and innovative business models are enabling success in drilling automation.

This paper describes an intelligent completion system in the context of multiple wells that, by electrifying the process, replaces the conventional electrohydraulic systems that have been in use for decades.

The technology, which uses Industrial Internet of Things components, aims to reduce the costs and improve the safety of drilling operations.

A roundtable discussion during CERAWeek pointed to the necessity of a mindset shift for the oil and gas industry to tap into AI’s true potential.

Technology and partnerships play a pivotal role in how the oil industry finds and produces energy from frontier regions and brownfields, both now and in the future.

SLB said it plans to integrate INT’s technology into its digital data and artificial intelligence platforms.

The authors write that, by wireline formation testing of a sandstone formation adjacent to a sand/shale laminated reservoir in the Weizhou shale-oil region of the Beibu Gulf, key reservoir information can be directly obtained.

This paper presents a complete digital workflow applied to several greenfields in the Asia Pacific region that leads to successful deep-transient-testing operations initiated from intelligent planning that positively affected field-development decisions.

The plant is designed to capture up to 100,000 tonnes of carbon dioxide annually for the Netherlands-based sustainable energy supplier Twence.