Testing page for app
-
Mero expects to increase its production capacity to over 700,000 B/D. -
The new burner, created with the help of machine learning and additive manufacturing, promises high methane destruction efficiency and combustion stability even in windy conditions.
-
The supermajor is making a major course correction as it plans to slash renewable investment and focus more on oil and gas development.
-
The operator plans to acquire seismic and carry out appraisal drilling at the site later this year; the find could be fast-tracked as a tieback to the Goliat FPSO.
-
The TWA Editorial Board is accepting nominations for “TWA Energy Influencers 2025: Young Professionals Who Energize Our Industry.” Nominate a YP by 1 July 2025.
-
This paper aims to investigate the use of an optimization workflow to maximize both hydrogen storage and the net present value to obtain an optimal reservoir development strategy.
-
Transitioning to a low-carbon economy demands large-scale CO2, natural gas, and hydrogen storage. In this context, the application of AI/ML technology to uncover geochemical, microbial, geomechanical, and hydraulic mechanisms related to storage and solve complicated history-matching and optimization problems, thereby enhancing storage efficiency, has been prominently …
-
The authors propose a hybrid virtual flow and pressure metering algorithm that merges physics-based and machine-learning models for enhanced data collection.
-
This paper evaluates the effect of rapid cooling on the rock-cutting process and incorporates this effect as a component of drilling-performance optimization.
-
