Drilling
Oil and gas companies drilled 75 “high-impact” wells in 2024, representing 5.2 billion BOE.
This paper presents a comprehensive literature review of perforate, wash, and cement techniques that compares new methods with traditional ones and uses field cases and computational fluid dynamics to find the most cost- and time-effective practices without sacrificing safety.
The authors of this paper describe a method of stimulating a multizone hydrocarbon-producing well wherein a tool is deployed downhole by wireline to generate acid vapor at a target depth, allowing each interval to be treated uniquely.
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This paper presents the design and functionality of an apparatus that measures directly and automatically the pressure/volume/temperature (PVT) behavior of the drilling fluid contained in a pit. -
In this paper, alternative approaches to solids characterization are presented that lend themselves better to automation and real-time monitoring than API retort measurement.
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Intellilift and Transocean are working together on a software solution to expedite the well construction process.
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The buzz about the future of automated drilling and it becoming reality depends on improvements in downhole data gathering now. Halliburton is working on it.
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ExxonMobil has drilled a horizontal well with a rig billed by Nabors as the first fully automated land rig. The big question now is whether ExxonMobil will come back for more after this three-well test.
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Few industries contain as many phases, steps, and levels of interface between the start and end product as the oil and gas industry. It therefore is hardly surprising that communication, in all its varied forms, is at the very heart of our business.
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This paper describes a study aiming to provide input for the well-completion-strategy design and operational parameters for a carbonate reservoir experiencing electrical-submersible-pump failures.
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Deal marks the first ADNOC partnership with Pakistani energy companies.
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This paper details new technologies and work flows implemented for Australian offshore wells to improve drilling efficiency while managing associated risks.
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The paper demonstrates the application of an interpretable machine-learning work flow using surface drilling data to identify fracable, brittle, and productive rock intervals along horizontal laterals in the Marcellus shale.
