In the rapidly evolving energy sector, the integration of digital solutions is proving to be a game-changer, particularly in the modeling and optimization of complex energy systems. A recent study published in the *Proceedings of Engineering Sciences* highlights a groundbreaking approach that could revolutionize how we manage geothermal energy and carbon capture and sequestration (CCS) systems. Led by Angela Solano of SLB Calgary Canada, the research introduces an innovative “pore-to-process” workflow that unifies subsurface and surface simulations into a single, cohesive framework.
Traditionally, energy systems like geothermal and CCS have been analyzed in isolation, with separate tools for subsurface and surface simulations. This segmented approach often led to inefficiencies, potential errors due to manual data transfer, and inconsistencies between thermodynamic models. “The traditional methods were not only time-consuming but also prone to errors,” explains Solano. “By integrating these processes, we can achieve a more accurate and efficient system model.”
The “pore-to-process” workflow automates data transfer and ensures consistent thermodynamic calculations across both subsurface and surface components. This integration allows for real-time data sharing and holistic system optimization, significantly reducing computational overhead and minimizing errors. “This approach enhances the accuracy and efficiency of system modeling, which is crucial for the energy sector,” Solano adds.
The implications of this research are profound. For the geothermal energy sector, the integrated workflow improves efficiency by seamlessly connecting subsurface dynamics with surface facility performance. This could lead to more effective energy extraction and management, ultimately reducing costs and increasing productivity. Similarly, for CCS systems, the unified approach could enhance the accuracy of carbon storage predictions, ensuring that these systems operate at their optimal capacity.
The commercial impacts of this research are substantial. Energy companies can leverage this integrated workflow to optimize their operations, reduce downtime, and improve overall system performance. “This is not just about improving existing systems; it’s about setting a new standard for how we approach energy system modeling and optimization,” Solano notes.
As the energy sector continues to evolve, the adoption of digital solutions like the “pore-to-process” workflow could shape the future of energy management. By providing a more accurate and efficient way to model and optimize complex energy systems, this research paves the way for advancements in geothermal energy, CCS, and other critical areas. The study, published in the *Proceedings of Engineering Sciences*, offers a glimpse into a future where digital integration drives innovation and sustainability in the energy sector.