- presents in-depth insights regarding fundamentals associated with big data technologies involved in petroleum streams.
- builds on earlier works of researchers and inventors, which is essential source material for students in this area of study.
- discusses essential processes and methodologies in petroleum streams that will direct researchers to pursue a practical approach to the field.
- sheds light on challenges and problems of individual streams and inert-relation issues, while asking the reader to innovate and ideate upon those issues.
- Offers an analysis of the financial aspects and business perspective on the processes to help the reader make constructive and practical decision in the field.
Mr. Jay Gohil is pursuing Bachelor of Technology in Information and Communication Technology at Pandit Deendayal Energy University. He has authored three research papers, two conference papers, two book chapters and a book (this) during his academic study. His research interests include Big Data, Data Science, Machine Learning, Deep Learning, Data Mining and Artificial Intelligence, and he has communicated research work in esteemed journals in these areas. He has been a research intern at ISRO (Indian Space Research Organization, Ahmedabad, India) and Ryerson University (Toronto, Canada). He is also a Google DSC Lead, Microsoft Learn Student Ambassador, Intel Student Ambassador for IoT, IBM Z Ambassador, AWS Community Builder and deeplearning.ai Event Ambassador.
Dr. Manan Shah has a B.E. in Chemical Engineering from LD College of Engineering and an M.Tech. in Petroleum Engineering from School of Petroleum Technology, PDPU. He has completed his Ph.D. in the area of exploration and exploitation of Geothermal Energy in the state of Gujarat. He is currently Assistant Professor in the Department of Chemical Engineering, School of Technology (SOT), PDPU, and Research Scientist in Centre of Excellence for Geothermal energy (CEGE). One of his areas of research is power generation from low enthalpy geothermal reservoirs using Organic Rankine Cycle. He was also involved in the designing of a Geothermal Space Heating and Cooling system at Dholera and doing research on hybrid setup in the renewable energy sector. Dr. Shah has received the Young Scientist Award from the Science and Engineering Research Board (SERB). He has published several articles in reputed international journals in the areas of renewable energy, petroleum engineering, water quality and chemical engineering. He serves as an active reviewer for several Springer and Elsevier international journals.
Title: Application of Big Data in Petroleum Streams
Author: Shah, Manan,Gohil, Jay
ISBN: 9781032028965
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2022-05-09
Number of Pages: 168
Weight: 5.0000 kg
