VEĽKÝ VÝBER
Ponúkame milióny kníh v angličtine. Od beletrie až po tie najodbornejšie odborné.
ISBN | 9781032074528 |
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Autor | Mishra Srikanta |
Vydavatel | Crc Pr Inc |
Jazyk | english |
Väzba | Pevná vazba |
Rok vydania | 2022 |
Počet strán | 360 |
The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy).
- Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance).
- Offers a variety of perspectives from authors representing operating companies, universities, and research organizations.
- Provides an array of case studies illustrating the latest applications of several ML techniques.
- Includes a literature review and future outlook for each application domain.
This book is targeted at the practicing petroleum engineer or geoscientist interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal.