Drilling
Developing the theory of mechanical specific energy from the perspective of instantaneous drilling power rather than the compressive strength of the formation leads to an improved understanding of drill-bit mechanical efficiency.
The oilfield service company will supply power plants capable of electrifying 180,000 US homes with geothermal energy.
This article is the fourth in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, David Reid, the CTO and CMO for NOV, discusses the evolution and current state of automated drilling systems.
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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. -
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.
