Buch, Englisch, 182 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 339 g
Buch, Englisch, 182 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 339 g
ISBN: 978-1-032-02901-6
Verlag: CRC Press
The book aims to provide comprehensive knowledge and information pertaining to application or implementation of big data in the petroleum industry and its operations (such as exploration, production, refining and finance).
The book covers intricate aspects of big data such as 6Vs, benefits, applications, implementation, research work and real-world implementation pertaining to each petroleum-associated operation in a concise manner that aids the reader to apprehend the overview of big data’s role in the industry.
The book resonates with readers who wish to understand the intricate details of working with big data (along with data science, machine learning and artificial intelligence) in general and how it affects and impacts an entire industry. As the book builds various concepts of big data from scratch to industry level, readers who wish to gain big data-associated knowledge of industry level in simple language from the very fundamentals would find this a wonderful read.
Zielgruppe
Academic, Adult education, Postgraduate, Professional, Professional Practice & Development, Undergraduate Advanced, and Undergraduate Core
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Ölförderung, Gasförderung
- Mathematik | Informatik Mathematik Mathematik Allgemein
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
- Technische Wissenschaften Energietechnik | Elektrotechnik Technologien für Fossile Energieträger
- Geowissenschaften Geologie Wirtschaftsgeologie
Weitere Infos & Material
1 Introduction; 2 Petroleum Operations; 3 Big Data’s 6Vs; 4 Benefits of Big Data; 5 Applications of Big Data; 6 Implementation of Big Data; 7 Big Data Platforms; 8 AI Algorithms; 9 Research on Big Data; 10 Real-World Implementation of Big Data; 11 Traits of Companies with Superior Big Data Implementation; 12 Challenges of Big Data; 13 Future Scope of Big Data; 14 Conclusion