Drilling
The papers that I included this month demonstrate real measurable efficiency gains and advantages, often processing volumes of data that previously could not be managed by conventional means. Performance measurement and drilling automation are two such examples, and the papers referenced this month, both as synopses and listed for further reading, fall into this categ…
This paper presents a physics-based approach to predict sand production for various reservoir and completion types, explored through a case study of recent production wells in a sandstone reservoir development.
This paper presents an automated directional-drilling process executed on a commercial well in the Norwegian sector of the North Sea, where a next-generation intelligent rotary steerable system completed a well section in a single run.
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Industry experts from Fugro analyze what the future holds for offshore energy fields and how the industry can embrace and prepare itself for an autonomous and digital future. -
The drilling of wells in shale and granite shares a common need—faster drilling is required to make it work.
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A new report shows that the tight offshore rig market is even tighter than most estimates reflect. This offers relief to battered drilling contractors which are now demanding higher dayrates.
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H&P pumps $33 million into LNG firm Galileo Technologies, supporting technology focused on decarbonization of the energy supply chain.
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Technology continues to transform every aspect of our lives and its role in modernizing oilfield operations is no different.
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An operator has redefined onsite operations reporting through the development of a standardized set of reporting activity codes as the backbone of a standardized digital well-design and execution process.
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The authors describe a study analyzing a comprehensive data set recorded in casing-cemented sandwich sections and recovered during the abandonment of a well in the Valhall Field.
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The paper describes the experience of using a machine-learning model prepared by the ensemble method to prevent stuck-pipe events during well construction in extended-reach wells.
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Drilling automation champions met to identify where this emerging technology needs to be by the end of the decade. What they ended up agreeing on most was that the business models used today are largely incompatible with the technology of the future.
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Artificial intelligence and machine learning, which can effectively mine deep insight from a large amount of drilling operational data and synthetic forward modeling data, are starting to shape the design and operations of extended-reach and complex wells.
