Drilling
The Essington-1 well is the first discovery in the Otway since 2021.
Ranger acquires American Well Services for $90.5 million, adding 39 workover rigs and boosting its fleet by 25%.
Geophysicist Markos Sourial discusses advances in seismic imaging, the challenges of modern data processing, and what they mean for the next wave of subsurface professionals.
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The complete paper presents a methodology designed for optimally matching drill bits, mud motors, and bottomhole-assembly components for reduced failure risks and improved drilling performance. -
This paper explores the nature of the vibrational dysfunction known as BHA chatter. A field-proven frequency-domain model illustrates the cause of the dysfunction, its rotary-speed dependence, and mitigation methods and results.
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The London-based company is seeking to restructure more than $3 billion in debt as it struggles to find work for its offshore fleet.
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Achieving and sustaining performance drilling’s intended benefits—improved drilling efficiency with minimal downhole tool failures and the associated reductions in project cycle time and operational costs—requires new protocols in drilling-system analysis.
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A Canadian company reports that it has drilled and completed a historic horizontal well in Saskatchewan.
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Through the end of October, 38 rigs have been retired this year. Predicting future rig attrition is not an exact science, but certain metrics help identify those rigs.
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The complete paper describes an offshore artificial island project northwest of Abu Dhabi in which drilling limits were extended continually by adopting new technologies and practices in an extended-reach-drilling (ERD) campaign.
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There is a growing interest in using nanocomposites to improve drilling-fluid rheology. In recent years, an additive derived from a sequence of graphene-based materials has been reported. The progress of these graphene derivatives has been used as a paradigm for water-based drilling fluids.
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Digitalization and automation successes are here to stay. Instead of making small incremental steps in well construction operations, allowing disruptive shifts can lead to tangible performance gains in efficiency, safety, and well integrity.
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Advances during the past decade in using convolutional neural networks for visual recognition of discriminately different objects means that now object recognition can be achieved to a significant extent.
