E-Books →Machine Learning Applications in Subsurface Energy Resource Management State of the Art and Future Prognosis

* 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.