Geo Transition Energy delivers cutting-edge software analytics and reservoir modelling solutions to support hydrogen, CCS, geothermal, and energy storage projects. Our digital capabilities transform complex subsurface datasets into clear, actionable insights for confident technical and investment decisions.
By integrating geoscience, engineering workflows, and advanced computational methods—including AI-driven analytics—we help clients understand subsurface behaviour, quantify uncertainty, optimise performance, and de-risk projects across the entire lifecycle.
We begin with a focused consultation to understand project objectives and available datasets. This includes reviewing seismic data, well logs, core data, production history, laboratory measurements, and regional geological information.
Custom geological and reservoir models are developed to reflect site-specific conditions. This may include static models, dynamic flow simulations, geochemical interactions, geomechanical coupling, and multiphase behaviour.
We apply advanced simulation engines, machine-learning workflows, and agentic AI tools to analyse plume migration, pressure evolution, storage performance, injectivity, and system optimisation across CCS, hydrogen, and geothermal applications.
Models are calibrated against field data and tested through sensitivity and uncertainty analysis. This step identifies key risk drivers, performance limits, and confidence ranges critical for decision-making.
We deliver clear, high-quality outputs including interactive visualisations, digital twins, and technical reports. Our results support regulatory submissions, financing discussions, operational planning, and long-term monitoring strategies.
