Drilling
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.
This research aims to develop a fluid-advisory system that provides recommendations for optimal amounts of chemical additives needed to maintain desired fluid properties in various drilling-fluid systems.
This paper describes development of a high-temperature water-based reservoir drill-in fluid using a novel synthetic polymer and customized with optimal chemical concentrations and sized calcium carbonate.
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When Apache rolled out a digital system delivering real-time drilling data and advice, the reactions from workers were strong, and conflicting. -
Corva’s challenge is to change the behavior of drillers who work for somebody else. The fast-growing company has no shortage of users.
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The well will immediately be brought on production and is expected to flow at more than 100 MMscf/D of gas and 3,000 B/D of associated condensate, the company said.
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The discovery marks London-based Tullow’s first operated contribution to a long list of discoveries since 2015 in the emerging petroleum province.
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Leaders from two large US onshore rig contractors said their expectations that the rig-count slide would hit a second-quarter bottom were off and are now refraining from making new predictions as to when it will end.
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The company's new 3D-inversion visualization process enables precise geosteering and accurate well placement.
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The Italian operator reported positive appraisal and exploration results from wells drilled some 10,000 km apart.
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The green light for Santos Energy’s drilling program in the McArthur Basin comes after a moratorium on hydraulic fracturing in the Northern Territory was lifted in 2018.
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Moving their directional drillers into their Houston real-time remote operations centers has improved drilling efficiency for two of the top shale producers.
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This paper is part of an ongoing effort to minimize the likelihood of failure using data-mining and machine-learning algorithms.
