Waiwera is a small coastal village located on New Zealand's North Island above a geothermal reservoir. The origin of the warm water is not well understood. An inferred fault zone at the base of the reservoir is thought to channelise the uprising thermal water. The observed characteristic cold and hot water distribution in the system was simulated and the temperature profiles show an improved agreement in the near field around the centre of the reservoir.

Scaling, particularly calcium carbonate precipitation in Bavaria, diminishes the efficiency of geothermal systems. To mitigate this issue, modeling for predictive maintenance is required, yet data are scarce. To address this, experimental data of the process were obtained using a new combination that allows qualitative and quantitative investigation in real time. Unfortunately, the stability of the signal degraded in long-term experiments, limiting measurements to durations of up to one day.

To combat global warming and achieve net-zero CO₂ emissions by 2050, Carbon Capture and Storage (CCS) is vital. Despite being a top CO₂ emitter globally, Brazil is early in its CCS journey. Our study evaluates the potential of using southern Brazil's saline aquifers for CO₂ storage with the aim of supporting Brazil’s efforts to reduce emissions and mitigate climate change. We identify optimal storage sites in two basins, Paraná and Espírito Santo, with ideal locations near existing pipelines. 

To operate aquifer thermal energy storages in a sustainable way, we located an artesian aquifer other than the aquifer storage in a research wellbore by analyzing the subsurface temperature as monitored with a fiber optic cable in three artesian flow tests. The positioning of the artesian aquifer was validated via numerical modelling. Analyses of the temperature data and numerical modelling enabled determining the profile of flow velocity, flow rate and the depth interval of inflow.

This paper presents a surrogate modelling approach applied to a geochemical system of uranium sorption on clay, relevant for the safety assessment of nuclear waste repositories. The surrogate uses knowledge about the underlying process to recursively partition the dataset into regions of reduced dimensionality. It achieves high accuracy with a competitive prediction throughput, and is a promising method to speedup  computationally demanding coupled reactive transport models.