Geothermal reservoir modelling is a complex field laden with significant degrees of uncertainty. This uncertainty is primarily a result of the considerable depth at which these resources lie beneath the surface of the Earth - ranging anywhere from a few feet up to several kilometres deep. Despite the similarities to oil and gas wells, geothermal wells present a unique set of challenges that demand specialized strategies for accurate modelling. This article explores different aspects of this uncertainty in geothermal reservoir modelling and how we are working to tackle this issue.
1. Geothermal reservoir modelling is a challenging field filled with high levels of uncertainty due to the significant depth ranges geothermal resources lie beneath the Earth’s surface.
2. Unlike oil and gas wells, geothermal wells present unique challenges that require specific strategies for accurate modelling.
3. Geothermal wells, varying greatly in depth, are prime sources of geothermal energy which is a sustainable solution for power production.
4. The efficiency and profitability of geothermal power can be significantly impacted by the uncertainties linked with geothermal reservoir modelling.
5. Factors leading to these uncertainties include geological complexity, properties of the fluid, thermal conduction, heat's convective transport, and technical constraints.
Approximately 90% of geothermal reservoirs suitable for economic development are located at depths greater than one kilometer.
Geothermal wells, just like oil and gas wells, show significant variability in depth, often ranging from a few feet to several kilometres. These wells are the primary sources of geothermal energy, a sustainable solution for power production. However, a lot of uncertainties are associated with geothermal reservoir modelling, which can affect the efficiency and profitability of geothermal power. These uncertainties result from factors such as geological complexity, fluid properties, thermal conduction, convective transport of heat, and technical constraints. The following sections will delve further into these challenges, providing an insight into the complexities involved in geothermal reservoir modelling.