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

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

by Kingshuk Srivastava, Thipendra P. Singh,  Manas Ranjan Pradhan and others
Hardback
Publication Date: 20/11/2023
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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.

ISBN:
9781032413877
9781032413877
Category:
Petroleum & oil industries
Format:
Hardback
Publication Date:
20-11-2023
Language:
English
Publisher:
Taylor & Francis Group
Country of origin:
United Kingdom
Dimensions (mm):
233.38x155.57mm
Weight:
0.5kg

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You can find this item in:

Materials science Petroleum & oil industries Environmental science Databases Energy Economics Automatic control engineering Artificial intelligence Mining industry
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