Drilling
Research by Enervus sees early 2026 permitting activity for the carbon capture and storage wells pointing to a growing approval queue, even while the rate of applications eases.
The new guidelines were released prior to reports that enhanced geothermal developer Fervo Energy experienced a blowout in Utah with no reported injuries.
BP said it expects to keep the Azeri-Chirag-Gunashli (ACG) project in production into the 2040s by tapping into separate nonassociated gas reservoirs.
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Operators aren’t rushing to drill, even as the closure of the Strait of Hormuz drives oil prices up. -
This paper presents the first global application of autonomous drilling in deepwater and the journey to reach optimal drilling parameters, integrating proprietary tools from the project’s business partners.
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This paper describes the evolution of the operator’s initial PWC (perforate, wash, and cement) abandonment projects performed in deepwater Brazil.
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The authors reach conclusions that the industry should define a standard testing method to improve swelling performance, including validation of repeatability, to complement existing guidelines.
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This paper establishes that the use of a dual-gradient fluid column during the running of large casing in an extreme-reach deepwater well is an effective method to overcome drag and enable the casing to reach total depth.
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This year, we observed a notable increase in activity centered on physical technologies, including cementing tools, zonal isolation barriers, and cement evaluation systems.
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This paper presents the development of an advanced simulation tool aimed at providing a better understanding of the complex fluid-displacement phenomena present in well-cementing processes.
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This paper examines the effects of cement voids and microannuli on the collapse resistance of pipe/cement/pipe systems with void angles ranging from 0º to 70º.
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In this paper, a case study is described in which a software solution enabled prescriptive optimization of well delivery using a physics-informed machine-learning approach for predictive identification and characterization of well-construction risks.
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SPE conference authors offer a trio of papers that blend field practice, simulation optimization, and machine-learning techniques to more-efficiently pursue the goal of longer, highly deviated wells that only grows in importance to the industry with every passing year.
