This book covers aspects of data science and predictive analytics used in 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 well, 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 understanding of basics of IT technologies applied in Oil and Gas sector.
- Includes deep comparison between different artificial intelligence techniques.
- Analyses different simulators in 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.
About the Author:
Kingshuk is working as a faculty at UPES, Dehradun, India with over 12 years of extensive experience of Data Analytics in the field of Oil and Gas sector. He has earned his Ph.D in Computer Science Engineering from UPES and his field of research is in AI, Data Science and NOSQL databases. He has designed, developed, and delivered training to Birlasoft Technologies on different IT aspects in Oil & Gas value chain. He has published multiple papers in his field of interest in national and international journals.
T P Singh is currently serving as Professor and Head of Department at School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries more than 25 years of rich experience with him drawn both from industry and academia. He has earlier been associated with Tata Group and Sharda University, Greater Noida. His research interests include machine intelligence, pattern recognition and development of hybrid intelligent systems. There are more than three dozen publications to his credit in various national and international journals including five books. Dr. Singh is a Fellow of IETA, senior member of IEEE, member IEI and various other professional bodies including ISTE, IAENG etc. and on the editorial/reviewer panel of different reputed journals.
Manas Ranjan Pradhan holds a PhD (Computer Science) from University of Mysore, India, and Master of Technology (Computer Science) from Utkal university, India. He has vast experience in teaching, research, and academic administration in India and abroad. He is currently working at Skyline University College, Sharjah, UAE. He has been associating with IT industry for industry-academic collaboration, internship, placement, and workshops. He has executed IBM Center of Education for Cloud Computing and Business Analytics at INTI International University, Malaysia under Laureate International Universities, USA. He has presented and published many research papers in various conferences and journals. He has 3 Indian patents and 3 Australian patents to his credit. His areas of expertise are Business Analytics, Datamining, Data warehouse, Retail/Ecommerce Analytics, Artificial Intelligence, Machine Learning and Business process modeling.
Dr Vinit Kumar Gunjan is Associate Professor in Department of Computer Science & Engineering and Dean of Academic affairs at CMR Institute of Technology Hyderabad. He has published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database.
