SLB
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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.
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New case studies highlight how artificial intelligence, advanced hardware, and innovative business models are enabling success in drilling automation.
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The technology, which uses Industrial Internet of Things components, aims to reduce the costs and improve the safety of drilling operations.
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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.
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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.
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SLB said it plans to integrate INT’s technology into its digital data and artificial intelligence platforms.
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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.
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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.
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The plant is designed to capture up to 100,000 tonnes of carbon dioxide annually for the Netherlands-based sustainable energy supplier Twence.
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The Norwegian operator engaged BW Offshore and Altera Infrastructure to take a run at a development scheme for the project.
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