AI Solutions for Energy Geotechnics and Disaster Management Resilience: Fid-Bau Portal

AI Solutions for Energy Geotechnics and Disaster Management Resilience

Kumar, Narendra

Artificial intelligence (AI) has greater capability to help on energy geotechnics and disaster management. It is emerged as a pivotal area of research, offering innovative solutions to enhance infrastructure resilience and mitigate risks associated with energy-related projects and natural disasters. This paper explores the diverse applications of AI in optimizing energy geotechnics and bolstering disaster management resilience. In the realm of energy geotechnics, AI technologies are employed for site characterization, geotechnical risk assessment, and foundation design. Machine learning algorithms analyses geophysical data to refine subsurface understanding, predict subsurface stability, and optimize foundation designs for structures such as offshore wind farms and underground energy storage facilities. Real-time monitoring, geomechanically modelling, and reservoir management benefit from AI-driven insights, ensuring the efficiency, safety, and sustainability of energy extraction and storage processes. Simultaneously, AI solutions contribute significantly to disaster management resilience by providing predictive capabilities, early warning systems, and efficient response strategies. The integration of AI in disaster risk reduction includes applications such as predictive analytics for natural disasters, geospatial analysis for vulnerability assessment, and real-time monitoring using sensor networks. These technologies enhance decision-making processes, allowing for timely and informed responses during emergency situations. The integration of multidisciplinary data, automated design optimization, and the development of AI-driven decision support systems contribute to holistic solutions that address the complex challenges in these areas. The use of AI facilitates adaptive strategies for disaster resilience, considering the interconnected nature of energy systems and potential environmental threats. This comprehensive overview underscores the transformative impact of AI in reshaping the landscape of energy geotechnics and disaster management resilience. Through the deployment of advanced AI technologies, stakeholders can make informed decisions, optimize infrastructure designs, and build robust strategies that contribute to sustainable energy practices and resilient disaster management frameworks.