Onshore/Offshore Facilities
Estimates commissioned by the Australian government suggest that increasing efficiency will lower costs for decommissioning offshore Australia.
This paper introduces an AI-driven digital fencing system designed to boost security in oil and gas fields. The main objectives are to improve security and safety of oil and gas facilities while addressing the limitations of legacy physical barriers, reducing false alarms, and eliminating the dependability on the grid in favor of renewable energy.
The contract will cover the design and manufacturing of tree systems, flexible flowlines, a manifold, and controls, as well as installation of the subsea production system.
-
DTEK has delivered its first US-sourced LNG shipment through Lithuania to supply Ukraine and neighboring countries this winter.
-
SponsoredAdvance your career with the new Pipeline Engineering Program at the Technical University of Leoben, a 5-month course combining on-campus and online learning, integrating industry expertise, engineering practice, and future-ready skills for professionals in oil, gas, and emerging energy systems.
-
Plans call for license partner Aker BP to serve as operator during the development phase, with operatorship reverting to DNO after first oil in 2028.
-
Production from the Búzios field now tops 1 million B/D with six floating production systems in operation and more on the way.
-
In lifting force majeure, TotalEnergies says it will restart construction on its Mozambique LNG project as soon as the government agrees to a revised budget and schedule that targets shipping first product in 2029.
-
A new Eni/Petronas venture is targeting 500,000 BOE/D in output from combined upstream portfolios across Malaysia and Indonesia.
-
BPX Energy will retain operatorship of the assets after the sale of its interests to private investment firm Sixth Street is complete.
-
Thailand’s PTTEP is partnering with subsea joint venture SLB OneSubsea to expand capacity across two fields offshore Malaysia.
-
This paper explains that the discovery of specific pressure trends, combined with an unconventional approach for analyzing gas compositional data, enables the detection and prediction of paraffin deposition at pad level and in the gathering system.
-
This paper discusses a comprehensive hybrid approach that combines machine learning with a physics-based risk-prediction model to detect and prevent the formation of hydrates in flowlines and separators.
Page 1 of 218