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Ebook For Machine Learning Applications in Subsurface Energy Resource Management State of the Art and Future Prognosis 1st Edition {PDF}
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Ebook For Machine Learning Applications in Subsurface Energy Resource Management State of the Art and Future Prognosis 1st Edition By Srikanta Mishra
This eBook explores how machine learning (ML) is transforming the field of subsurface energy, providing innovative solutions for energy exploration, production, and management. With a focus on both conventional and renewable energy sources, it highlights the powerful role ML plays in improving the efficiency and sustainability of subsurface energy systems.
Covering a range of applications, the book delves into how machine learning techniques are used for reservoir modeling, predictive maintenance, seismic data analysis, and optimizing energy production. It also examines the integration of ML with big data and advanced sensing technologies, offering practical examples of how these tools can enhance decision-making and reduce operational costs in the energy sector.
Perfect for engineers, data scientists, and energy professionals, this eBook provides a comprehensive understanding of how machine learning is shaping the future of subsurface energy. Whether you’re new to the topic or an expert in the field, you’ll find valuable insights into how ML is driving advancements in energy exploration, extraction, and management.
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