Well intervention
Panelists at the SPE Subsea Well Intervention Symposium discussed where AI is delivering value today, where risks remain, and how engineers can best determine its usefulness.
With millions of wells having been drilled in the US since the beginning of the oil age, the land is pocked with old, unused wellbores. For most, repurposing is a pipe dream. Plugging is the best option.
This article from the SPE Research and Development Technical Section offers new insights to how the upstream industry can benefit from the emergence of quantum computing.
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This paper describes the first riserless coiled tubing services operation performed in a live subsea well and the associated improvements in efficiency, cost savings, and safety.
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This paper describes a case history in the UAE in which the cleanout of scale contaminated with naturally occurring radioactive material was conducted successfully.
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Some offshore operators invest tens of millions annually in well interventions, while others spend nothing. What drives the difference remains a mystery.
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Plugging operations are scheduled to begin early 2026.
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TechnipFMC, in collaboration with Halliburton, was awarded the 2025 ICoTA Intervention Technology Award and received the 2025 Curtis Blount Outstanding Paper Award.
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To enable a fully interventionless approach, a barrier-rated tubing-hanger valve has been developed to eliminate slickline intervention and minimize associated risks and operational time.
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This paper explores the sustainability and safety aspects of laser perforation with a focus on factors such as water requirement, asset integrity, logistics, safety, and surface footprint.
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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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Finalists will present their technologies before the judging panel on 24 March, and the recipient of the award will be announced 25 March during the SPE/ICoTA Well Intervention Conference and Exhibition.
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The authors propose a hybrid virtual flow and pressure metering algorithm that merges physics-based and machine-learning models for enhanced data collection.