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Application of Big Data in Petroleum Streams
 
Product details:
ISBN13:9781032029016
ISBN10:1032029013
Binding:Paperback
No. of pages:182 pages
Size:246x174 mm
Weight:453 g
Language:English
Illustrations: 54 Illustrations, black & white; 54 Line drawings, black & white; 25 Tables, black & white
690
Category:

Application of Big Data in Petroleum Streams

 
Edition number: 1
Publisher: CRC Press
Date of Publication:
 
Normal price:
Publisher's listprice:
GBP 45.99
Estimated price in HUF:
22 213 HUF (21 155 HUF + 5% VAT)
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19 991 (19 040 HUF + 5% VAT )
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Short description:

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 operations in a concise manner that aids the reader to apprehend the overview of big data?s role in the industry.

Long description:

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.

Table of Contents:

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