Management
Using emergency procedures, the permitting timeline is expected to be significantly reduced from years to weeks, in some cases.
The latest deepwater exploration well offshore Namibia has found 38 m of net pay and flowed more than 11,000 BOPD of 37 °API oil during testing.
The UK North Sea Transition Authority has awarded the required permits for the East Irish Sea project, and the project has reached financial close. The carbon capture and storage storage project is expected to receive its first carbon dioxide in 2028.
-
The Advanced Clean Energy Storage project in Utah involves two 4.5-million-bbl salt caverns that will store up to 100 metric tons of hydrogen per day. -
The government is offering its first major funding for the unexplored energy source.
-
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.
-
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…
-
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.
-
The authors’ work states that the qualification approach for offshore hydrogen pipeline systems should include material properties testing under various conditions.
-
This paper is a summary of a study that covers through-life economics for producing green hydrogen from offshore fixed wind turbines.
-
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.
