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The new burner, created with the help of machine learning and additive manufacturing, promises high methane destruction efficiency and combustion stability even in windy conditions. -
The supermajor is making a major course correction as it plans to slash renewable investment and focus more on oil and gas development.
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The operator plans to acquire seismic and carry out appraisal drilling at the site later this year; the find could be fast-tracked as a tieback to the Goliat FPSO.
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In the Marcellus, Repsol is slicing and dicing legacy data to evolve its completions strategy, while in the Permian, ExxonMobil is mastering the 4-mile lateral drillout using lessons learned.
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Mentorship programs equip women with the tools to excel and help close the gender gap in leadership.
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The service giant shares new details about its automated fracturing spreads that slash human operator workload by 88%.
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The authors propose a hybrid virtual flow and pressure metering algorithm that merges physics-based and machine-learning models for enhanced data collection.
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The authors introduce a novel framework combining dynamic mode decomposition, a data-driven model-reduction technique, with direct data assimilation to streamline the calibration of carbon-dioxide plume evolution models.
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This paper discusses the concept, applications, and continual evolution of a new 3D temperature and spectral-acoustics modeling and logging approach.
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This paper presents various functionalities and benefits of a monitoring tool developed for and used with all critical flowmeters in the operator’s production system.
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Few things are more essential to the now global hydraulic fracturing revolution than access to fresh water, yet this dependency use has raised environmental concerns and operational challenges.
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This paper presents a comprehensive model of geothermal exploitation for depleted deep heavy oil reservoirs through supercritical CO₂ injection.
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