Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry e-bog
802,25 DKK
(inkl. moms 1002,81 DKK)
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 validat...
E-bog
802,25 DKK
Forlag
CRC Press
Udgivet
20 november 2023
Længde
168 sider
Genrer
Economics
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781000995138
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 sectorIncludes deep comparison between different artificial intelligence techniquesAnalyzes different simulators in the oil and gas sector as well as discussion of AI applicationsFocuses on in-depth experimental and applied topicsDetails different case studies for upstream and downstreamThis book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.