Asset Management
This paper presents a flexible, highly cost- and energy-efficient method of gas separation and CO₂ capture from many different gas mixtures with a large range of CO₂ concentrations.
This work introduces a novel predictive methodology combining historical metocean data with real-time riser analysis for shallow water dynamically positioned rig operations.
This study explores the carbon-capture and mineralization potential of ultramafic rock powders when exposed to flue gases generated from combustion of crude oil and mesquite-derived charcoal.
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Panelists from energy companies around the globe gathered to share their personal and company’s experiences in community engagement. -
SponsoredThe data that comes with mapping flow behavior at the stage level of unconventional wells was once accessible only through the installation of costly and intrusive diagnostic methodologies like fiber optic or running production logging. New-generation FloTrac ultrahigh-resolution nanoparticle tracer technology with subatomic spectroscopic measurement techniques now de…
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Wellesley estimates that the drilling campaign has proved a developable gas-condensate accumulation of 60 to 100 million BOE.
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The Uganda oil project envisions drilling more than 450 wells on 35 well pads, leading to an estimated production of 230,000 BOPD at its peak once production starts up.
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The next phase of drilling is expected to resume in mid-2024 and includes several sidetrack wells, long-reach directional wells, and stratigraphic exploration wells.
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Challenges to development, including costs, cited as reasons for turning back the acreage.
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Fervo Energy’s bet that fracturing methods can be used for geothermal power is looking like a winner.
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Lebanon hopes to join the club of EastMed gas producers as TotalEnergies and its partners spud an appraisal well near Beirut’s maritime border with Israel where gas is already being produced.
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The authors of this paper analyze a robust, well-distributed parent/child well data set using a combination of available empirical data and numerical simulation outputs to develop a predictive machine-learning model.
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This paper summarizes a collaborative industry study to compare observations between shale-play data sets and basins, develop general insights into parent/child interactions, and provide customized economic optimization recommendations.
