Asset Management
The deal adds 40,000 B/D of production and epands Cenovus’ SAGD footprint with three Alberta assets.
The Federal Reserve Bank of Dallas’ third-quarter energy survey reflects industry views on the drawdown of the US Strategic Petroleum Reserve, the outlook for Persian Gulf crude exports, and expectations for oil prices.
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.
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Work slated for Côte d’Ivoire and Italy includes new riser/pipelines and FSRU facilities. -
On a pro forma basis, the mineral and royalty arm of the Midland-based oil company owns interests covering more than 32,000 net acres in the Permian Basin.
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Panelists from energy companies around the globe gathered to share their personal and company’s experiences in community engagement.
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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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The authors’ work states that the qualification approach for offshore hydrogen pipeline systems should include material properties testing under various conditions.
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This paper is a summary of a study that covers through-life economics for producing green hydrogen from offshore fixed wind turbines.
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The Anita Garibaldi was built by MODEC and will produce Marlim and Voador together with FPSO Anna Nery, already in operation.
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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.
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In this paper, example machine-learning models were trained using geologic, completion, and spacing parameters to predict production across the primary developed formations within the Midland Basin.
