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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ADNOC Drilling and ADNOC Logistics & Services have won the newest round of contracts to develop the mega sour-gas project that will expand the UAE’s production of LNG.
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It has often been considered risky to use heavy drillships in depths below 2,000 ft. However, a good measure of innovation and market timing has recently proved otherwise.
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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.
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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.