Digital tools for reliability and risk assessment are important for planning the use of the geological subsurface.

The sub-project aims to create a comprehensive algorithmic platform that captures and quantifies the characterization and propagation of uncertainties.

In particular, we will focus on hybrid uncertainties as identified for the application of underground gas storage.

Decisions made in the planning and optimization of gas storage facilities are often based on uncertain estimates.

In this sub-project, numerical models of the relevant flow processes are developed with the help of the Shared Earth Model developed in project I.4.

These will then be used to identify and reduce possible uncertainties in gas storage, e.g. due to leakages, and thus optimize underground gas storage.

In this sub-project, we will use thermal-hydraulic simulations to illustrate the effects of seasonal and diurnal load profiles on various geological-geothermal systems at different depths.

To this end, relevant reservoir parameters will be determined through drilling data analysis and petrophysical tests on drill cores. Operation scenarios will be implemented and subsequently simulated using the Shared Earth Model developed in project I.4 and the FeFlow software.

The aim is to map and optimize the thermal loading and unloading of the geological subsurface.

This sub-project consolidates the results from the previous sub-projects and supplements them with social science field research in order to investigate the effects on the groundwater system and social dynamics.

The objective is to improve the economic, ecological and social compatibility of the municipal heat transition in Lower Saxony through the combined use of geothermal and solar thermal energy and to develop sustainable heat supply options for municipalities.

The economic and ecological risks associated with the development of geothermal sources are largely influenced by the drilling process.

The goal of this sub-project is to reduce these risks in the drilling phase and during subsequent operation by more effectively integrating data from geological models and measurements, particularly in the vicinity of boreholes, into drilling planning procedures.

By using a drilling simulator and integrating data from geological models and measurements, we aim to improve the efficiency and reliability of drilling processes.