Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry (häftad)

Fler böcker inom

Format: E-bok
Filformat: PDF med LCP-kryptering (0.0 MB)
Om LCP-kryptering
PDF-böcker lämpar sig inte för läsning på små skärmar, t ex mobiler.
Nedladdning: Kan laddas ned under 24 månader, dock max 6 gånger.
Språk: Engelska
Antal sidor: 146
Utgivningsdatum: 2022-09-02
Förlag: CRC Press
ISBN: 9781000629521

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry E-bok

Name: Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
Price: 896.00 SEK
Availability: InStock
Author: Manan Shah, Ameya Kshirsagar, Jainam Panchal
ISBN: 9781000629521

av Manan Shah, Ameya Kshirsagar, Jainam Panchal

E-bok (PDF, LCP), Engelska, 2022-09-02

896

Ladda ned

Spara som favorit

Läs i Bokus Reader för iOS och Android

Finns även som

E-bok (LCP)

Ladda ned och läs i Bokus Reader.

896
Inbunden

Skickas på måndag

1267

Visa alla 2 format & utgåvor

Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today s world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the product to the end customer, while taking into account the incorporation of the safety measures for a better operation and the efficient and effective execution of operations. This book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems. It will serve as a useful guide for professionals working in the petroleum industry, industrial engineers, AI and ML experts and researchers, as well as students.

Visa hela texten