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

· · ·
· CRC Press
Sách điện tử
186
Trang
Đủ điều kiện
Điểm xếp hạng và bài đánh giá chưa được xác minh  Tìm hiểu thêm

Giới thiệu về sách điện tử này

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.

Giới thiệu tác giả

Kingshuk Srivastava 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.

Thipendra P Singh is currently positioned as a Professor in the School of Computer Science Engg & Technology, Bennett University, Greater Noida, NCR, India. Prior to this, he has been associated with UPES University and Sharda University. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries 26 years of rich experience with him. He is supervising PhD scholars with French and UK universities also. He has been a widely traveled academician and participated at various platforms across the countries including UK, France, UAE, and Singapore. He has been the editor of 10 books on various allied topics of Computer Science. Dr. Singh is a senior member of IEEE and a member of various other professional bodies including IEI, ACM, EAI, ISTE, IAENG etc., and also on the editorial/reviewer panel of different journals. He is a fellow of IETA-India since 2019. He is also on the board of studies of different Indian and abroad Universities

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.

Xếp hạng sách điện tử này

Cho chúng tôi biết suy nghĩ của bạn.

Đọc thông tin

Điện thoại thông minh và máy tính bảng
Cài đặt ứng dụng Google Play Sách cho AndroidiPad/iPhone. Ứng dụng sẽ tự động đồng bộ hóa với tài khoản của bạn và cho phép bạn đọc trực tuyến hoặc ngoại tuyến dù cho bạn ở đâu.
Máy tính xách tay và máy tính
Bạn có thể nghe các sách nói đã mua trên Google Play thông qua trình duyệt web trên máy tính.
Thiết bị đọc sách điện tử và các thiết bị khác
Để đọc trên thiết bị e-ink như máy đọc sách điện tử Kobo, bạn sẽ cần tải tệp xuống và chuyển tệp đó sang thiết bị của mình. Hãy làm theo hướng dẫn chi tiết trong Trung tâm trợ giúp để chuyển tệp sang máy đọc sách điện tử được hỗ trợ.