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Real-time monitoring and risk management in geothermal energy production: ensuring safe and efficient operations
1 Independent Researcher, Port Harcourt, Nigeria.
2 Independent Researcher, Lagos, Nigeria.
3 Independent Researcher Abuja, Nigeria.
Review
International Journal of Science and Research Archive, 2023, 08(01), 995–1011.
Article DOI: 10.30574/ijsra.2023.8.1.0074
Publication history:
Received on 13 December 2022; revised on 12 February 2023; accepted on 16 February 2023
Abstract:
Real-time monitoring and risk management are critical in geothermal energy production to ensure operational safety, efficiency, and environmental sustainability. As geothermal systems involve high-temperature fluids and complex subsurface dynamics, their development and operation present inherent risks, including reservoir depletion, induced seismicity, equipment failure, and environmental impact. This study examines the integration of advanced technologies for real-time monitoring and predictive risk management in geothermal energy production, emphasizing the role of data analytics, machine learning, and Internet of Things (IoT) devices. Key components of real-time monitoring include sensors for temperature, pressure, and flow rate measurements, as well as geophysical monitoring tools for subsurface imaging and seismic activity detection. These technologies enable operators to gain a comprehensive understanding of reservoir behavior and system performance, facilitating proactive responses to anomalies. Moreover, the integration of machine learning algorithms enhances predictive maintenance and decision-making processes by analyzing historical and real-time data to forecast potential risks and optimize operations. Risk management strategies in geothermal energy focus on identifying, assessing, and mitigating hazards through continuous monitoring and modeling. Automated control systems and IoT-enabled communication networks further enable swift adjustments to operational parameters, reducing the likelihood of equipment damage or environmental incidents. Regulatory frameworks and best practices for risk mitigation, such as the implementation of environmental safeguards and adherence to safety standards, are also discussed. Case studies from global geothermal projects illustrate the effectiveness of real-time monitoring systems in minimizing downtime and improving operational efficiency. These examples highlight the need for robust data integration and cross-disciplinary collaboration to address the challenges of geothermal production. In conclusion, the application of real-time monitoring and advanced risk management techniques enhances the safety, reliability, and sustainability of geothermal energy systems. The findings underscore the importance of technological innovation and comprehensive risk assessment in supporting the global transition to clean and renewable energy sources.
Keywords:
Real-Time Monitoring; Geothermal Energy; Risk Management; Iot; Machine Learning; Predictive Maintenance; Induced Seismicity; Environmental Sustainability; Renewable Energy; Operational Safety
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
