Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /
Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The refere...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Belyadi, Hoss (Autor), Haghighat, Alireza (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge, MA :
Gulf Professional Publishing,
2021.
|
Temas: | |
Acceso en línea: | Texto completo |
Ejemplares similares
-
Petroleum production engineering : a computer-assisted approach /
por: Guo, Boyun
Publicado: (2007) -
Methods for petroleum well optimization : automation and data solutions /
Publicado: (2021) -
Petroleum production engineering /
por: Guo, Boyun
Publicado: (2017) -
Machine learning for subsurface characterization /
por: Misra, Siddharth, et al.
Publicado: (2020) -
Machine learning and data science in the oil and gas industry : best practices, tools, and case studies /
Publicado: (2021)