Investigating the reopening potential of medium enthalpy abandoned oil wells with Bayesian networks




geothermal, climate change, CO2 emissions, energy, fossil, renewable, Bayesian network


The study examines the suitability of a new analytical method that can provide reliable results to end users during geothermal investments. The use of individual risks, influencing factors, and evidence with appropriate complexity can support sound, considered decisions. In the research work, we investigated the reopening potential of three barren wells for heat recovery in a sample area in north-eastern Hungary using Bayesian probability-based nets. In our model, the replacement of current fossil energy use with geothermal energy was simulated, the effect of which was expressed in tonnes of CO2 emissions saved. Our studies confirmed the suitability of reopening and geothermal utilization of low-enthalpy infertile wells.