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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.

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.

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This paper presents a comprehensive model of geothermal exploitation for depleted deep heavy oil reservoirs through supercritical CO₂ injection.

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.