Application of Big Data in Petroleum Streams  book cover
1st Edition

Application of Big Data in Petroleum Streams



  • Available for pre-order. Item will ship after May 9, 2022
ISBN 9781032028965
May 9, 2022 Forthcoming by CRC Press
184 Pages 54 B/W Illustrations

USD $100.00

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Book Description

The book aims to provide a comprehensive dose of knowledge and information pertaining to application or implementation of big data in petroleum industry and its operations (such as exploration, production, refining and finance).

The book covers intricate aspects of big data such as 6Vs, benefits, applications, implementation, research work and real-world implementation pertaining to each petroleum associated operations in a concise manner that aids the reader to apprehend the overview of big data’s role in the industry.

The book resonates with readers who wish to understand the intricate details of working of big data (along-with data science, machine learning and artificial intelligence) in general and how it affects and brings impact onto an entire industry. As the book builds various concepts of big data from scratch to industry level, readers who wish to gain big data associated knowledge of industry level in simple language from the very fundamentals, would find this as a wonderful read.

Table of Contents

Introduction. Petroleum Operations. Big Data’s 6Vs. Benefits of Big Data. Applications of Big Data. Implementation of Big Data. Big Data Platforms. AI Algorithms. Research on Big Data. Real World Implementation of Big Data. Traits of Companies with Superior Big Data Implementation. Challenges of Big Data. Future Scope of Big Data. Conclusion.

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Author(s)

Biography

Mr. Jay Gohil is pursuing a Bachelor of Technology in Information and Communication Technology at Pandit Deendayal Energy University. He has authored three research papers, two conference papers, a book chapter and a book (this) during his academic study. His research interests are Big Data, Machine Learning, Deep Learning, Data Mining and Artificial Intelligence and he has communicated research work in esteemed journals in these areas. He is also Google DSC Lead (1 of 350 in India), Microsoft Learn Student Ambassador (Beta), Intel Student Ambassador for IoT (1 of 6 in India), IBM Z Ambassador (1 of 150 in the world), AWS Community Builder (1 of 515 in the world) and deeplearning.ai Event Ambassador (1 of 50 in India).

Dr. Manan Shah has a B.E in Chemical Engineering from LD College of Engineering and a 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 working as an Assistant Professor in 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.