Sebastian Geiger

Delft University of Technology

Reservoir Modelling for the Energy Transition

The deployment of low-carbon geoenergy applications (e.g., geothermal energy or the storage of CO₂, H₂, and heat) needs to be scaled-up at pace to meet energy transition and decarbonisation targets. In contrast to hydrocarbon reservoirs, significantly less data is available for low-carbon geoenergy reservoirs. As a result, geological uncertainties are less well constrained but acquiring additional data is often too expensive. At the same time, low-carbon geoenergy applications require robust modelling forecasts to ensure their safe and cost-effective operations, e.g. due to the close proximity to population centres or their tight economic margins. This presentation will discuss where we can adapt traditional reservoir modelling workflows from the oil and gas industry, and where their limitations are. The presentation will also highlight how new reservoir modelling approaches can help us to identify geological uncertainties that need to be constrained – through targeted data acquisition – to ensure safe and cost-effective operations.