Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry

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Synopsis
This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies. Features: Provides an understanding of the basics of IT technologies applied in the oil and gas sector Includes deep comparison between different artificial intelligence techniques Analyzes different simulators in the oil and gas sector as well as discussion of AI applications Focuses on in-depth experimental and applied topics Details different case studies for upstream and downstream This book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.
Copyright:
2024

Book Details

Book Quality:
Publisher Quality
Book Size:
168 Pages
ISBN-13:
9781000995138
Related ISBNs:
9781032413877, 9781003357872, 9781032413891
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
selection and editorial matter, Kingshuk Srivastava, Thipendra P Singh, Manas Ranjan Pradhan and Vinit Kumar Gunjan
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Technology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Kingshuk Srivastava
Edited by:
Thipendra P Singh
Edited by:
Manas Ranjan Pradhan
Edited by:
Vinit Kumar Gunjan

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