Geological cross sections are essential for understanding the Earth’s subsurface, but they are usually slow to create manually. We developed GeoSIRR 1.0, a new framework that converts plain geological descriptions into consistent cross section models using generative artificial intelligence. The approach allows interactive refinement through conversation and helps bridge expert geological reasoning with digital modeling for faster exploration, education, and scenario testing.

Hydropower dams associated with a large reservoir, a key renewable, face challenges like reservoir-triggered seismicity (RTS). Here, rock samples show 6.3 %–14.7 % porosity and a maximum permeability of 0.0098 mD. A 136 m reservoir rise causes a 0.61 MPa pore pressure increase. Vertical stress rises by 0.75 MPa, and horizontal stress falls by 0.48 MPa, which leads to fault destabilization, causing RTS. These facts urge the adoption of sustainable energy strategies and future dam development.

Induced seismicity has posed significant challenges to secure deployment of geo-energy projects. Through a review of published documents, we present a worldwide, multi-physical database of injection-induced seismicity. The database contains information about in situ rock, tectonic and geologic characteristics, operational parameters, and seismicity for various subsurface energy-related activities. The data allow for an improved understanding and management of injection-induced seismicity.

This paper explores the impact of low enthalpy geothermal energy (LEGE) on the behaviour of organic contaminants of emerging concern (CECs). Specifically, we investigate the impact of LEGE on phenazone that is an analgesic drug commonly reported in urban aquifers. CECs pose a risk for the environment and human health, and thus, they must be eliminated to increase the available fresh-water resources in urban areas, where water scarcity is a matter of concern due to the population growth.