Asset Management
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This paper explores the development of direct-lithium-extraction technologies designed to recover lithium from unconventional feedstocks.
This study applies Monte Carlo simulation and an XGBoost regression model to assess the influence of various formations, geologic provinces, tectonic-plate types, and boundary conditions on hydrogen concentrations.
-
Opening day remarks from President Mohamed Irfaan Ali framed fossil fuels and renewables as parallel systems amid rising demand and structural supply pressures.
-
The UAE will prioritize national interests and production flexibility, setting up implications for OPEC’s market power, oil, prices, and global supply dynamics.
-
Talos Energy founder Tim Duncan has been named executive chairman of newly formed 1947 Oil & Gas, which will focus on acquiring and developing mature, shallow-water assets through its buyout of Renaissance Offshore. The deal is expected to close in Q2 2026.
-
Operators aren’t rushing to drill, even as the closure of the Strait of Hormuz drives oil prices up.
-
Drilling experts recently shared candid views on what will be required for their segment of the upstream business to move to the next stage of development.
-
Formerly titled E&P Notes, this monthly snapshot of global E&P activity highlights ongoing developments worldwide.
-
This paper establishes that the use of a dual-gradient fluid column during the running of large casing in an extreme-reach deepwater well is an effective method to overcome drag and enable the casing to reach total depth.
-
EQT is benchmarking its way to basin-leading productivity and relying on partnerships and new technology to turn KPIs into operational reality.
-
In this paper, a case study is described in which a software solution enabled prescriptive optimization of well delivery using a physics-informed machine-learning approach for predictive identification and characterization of well-construction risks.
-
This paper describes the integration of iterative torque/drag/buckling and hydraulic simulations for multiple tapered string combinations, the results of which guided the selection of a string configuration that deemed planned well total depths feasible.