In a groundbreaking study published in ‘Scientific Reports,’ researchers have unveiled an innovative geothermal play fairway analysis (GPFA) model that promises to reshape the landscape of geothermal energy exploration in southeastern Hungary’s Békés county. This research, led by Mohamed Ayed Elbalawy from the Faculty of Earth and Environmental Sciences and Engineering at the University of Miskolc, represents a significant step forward in identifying and assessing geothermal potential in a region ripe for sustainable energy development.
The study addresses the growing global demand for clean energy sources, highlighting geothermal energy’s unique advantages, including its reliability and minimal environmental impact. Elbalawy emphasized the importance of this research, stating, “Our model not only quantifies geothermal potential but also pinpoints the most favorable areas for exploration while assessing associated risks. This is crucial for informed decision-making in energy development.”
The GPFA model incorporates advanced techniques such as 3D seismic interpretation and geographic information systems (GIS) to create a detailed assessment of subsurface geothermal resources. By evaluating key risk components—heat source, reservoir fracture permeability, and seal integrity—the research team has successfully narrowed down a vast exploration area of approximately 350 square kilometers to just four prime targets. These targets exhibit high geothermal favorability and low associated risks, making them promising candidates for future drilling operations.
The implications of this research extend beyond academic interest; they hold substantial commercial potential for the energy sector. With an average heat content estimated at 65,450 Petajoules per square kilometer and recoverable heat energy ranging significantly under various production scenarios, the findings could catalyze investment in geothermal projects. For instance, the recoverable heat for the selected targets is projected to yield between 7.5 and 96.8 megawatt thermal per square kilometer, depending on the production plan’s duration.
Elbalawy’s team has crafted a Composite Common Risk Segment Map (CCRS), which visually consolidates risk assessments for stakeholders, enhancing the clarity of geothermal exploration efforts. “By integrating various data sources into a cohesive map, we provide a tool that can significantly reduce the uncertainty in geothermal investments,” Elbalawy noted.
As the world increasingly turns toward sustainable energy solutions, this research not only sheds light on Hungary’s geothermal potential but also sets a precedent for similar methodologies worldwide. The approach developed here could inspire other regions to adopt advanced geospatial analysis techniques, ultimately accelerating the transition to renewable energy sources.
For further insights into this pioneering research, visit the University of Miskolc. The findings underscore the vital role that innovative research plays in guiding the energy sector toward sustainable practices and highlight the untapped potential of geothermal energy in addressing the global energy crisis.
