HSE & Sustainability

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.

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

Geothermal systems, which rely on extracting heat from deep within the Earth, face many of the same technical challenges that oil and gas operators have tackled for decades. Geothermal development can be advanced efficiently and economically by applying proven oil and gas technologies.

With an increasing focus on clean energy, sustainable operations, emissions reduction, and data integration, the global energy landscape is evolving. Hence, overcoming HP/HT challenges is critical to ensuring energy security, optimizing production, and pacing our transition.

This study highlights how the recovery and reuse of existing hydrocarbon infrastructure can contribute to the diffusion of district-heating projects that implement the principles of the circular economy.

Few things are more essential to the now global hydraulic fracturing revolution than access to fresh water, yet this dependency use has raised environmental concerns and operational challenges.

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 …

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.

This paper describes how ramp-up operations and commercialization of an underground storage asset were combined, rapidly providing a wide range of commercial services to the Italian gas system while long-term UGS performance increased continuously.

The authors introduce a novel framework combining dynamic mode decomposition, a data-driven model-reduction technique, with direct data assimilation to streamline the calibration of carbon-dioxide plume evolution models.