Drilling
This paper presents a study that confirms glass-reinforced-epoxy-lined tubing as a reliable, cost-effective solution for long-term water-injection service in moderate-salinity offshore environments.
This study aims to systematically assess casing integrity and corrosion risks associated with CO2 injection in oil-recovery operations.
This paper presents findings reinforcing the argument that acid fracturing is a strong alternative stimulation method to improve productivity in the Austin Chalk formation.
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This paper presents the mitigation of drilling challenges encountered in the Niger Delta through a technique that relates shale resistivity to shale porosity and vertical effective stress to predict pore pressure.
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This work provides a new modeling tool, validated against a static-wellbore solver and field data, to estimate and manage downhole temperature in higher-temperature oil, gas, and geothermal wells.
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This paper describes results of a study indicating that an enzyme/in-situ organic acid generated cleanup system was effective at degrading filter cake for a water-based-mud field sample, reflected in the obtained return permeability of nearly 83%.
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Majors and independents alike are targeting high-impact wells across the globe to boost future oil and gas production volumes.
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The Research Council of Norway’s $118,000 grant will support development of longer fishbone laterals to raise production while lowering carbon footprints.
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The effects of aging and temperature on the performance of one-part “just add water” granite based geopolymers are studied for application in well cementing and abandonment. Further studied is the role of zinc as a strength enhancer over a long curing period.
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New studies examine whether two innovative well designs should have a bigger role to play in the race to get more value out of tight rock reservoirs.
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Backed by more than $28 million in fresh investments, XGS Energy is prepping to introduce a new technology called thermal reach enhancement.
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This paper describes an autonomous drilling approach using an autocurve-drilling mode to automatically drill curved sections without human intervention and complete autonomous well construction.
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This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence.