Application of Big Data in Petroleum Streams

這本書簡明地介紹了大數據的複雜方面，包括6Vs、好處、應用、實施、研究工作以及與石油相關操作的實際應用，幫助讀者理解大數據在該行業中的作用概況。

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.

Mr. Jay Gohil正在Pandit Deendayal Energy University攻讀資訊和通訊技術的科技學士學位。在他的學術研究期間，他撰寫了三篇研究論文、兩篇會議論文、兩章書籍章節和一本書（本書）。他的研究興趣包括大數據、數據科學、機器學習、深度學習、數據挖掘和人工智能，並在這些領域的知名期刊上發表了研究成果。他曾在印度空間研究組織（ISRO）（印度艾哈邁德巴德）和Ryerson大學（加拿大多倫多）擔任研究實習生。他還是Google DSC Lead、Microsoft Learn Student Ambassador、Intel Student Ambassador for IoT、IBM Z Ambassador、AWS Community Builder和deeplearning.ai Event Ambassador。

Dr. Manan Shah擁有LD College of Engineering的化學工程學士學位和PDPU的石油工程學碩士學位。他在古吉拉特邦的地熱能勘探和開發領域完成了博士學位。他目前是PDPU技術學院（SOT）化學工程系的助理教授，也是地熱能卓越中心（CEGE）的研究科學家。他的研究領域之一是利用有機朗肯循環從低焓地熱儲層發電。他還參與了Dholera的地熱空調系統的設計，並在可再生能源領域進行混合設置的研究。Shah博士曾獲得科學和工程研究委員會（SERB）的青年科學家獎。他在可再生能源、石油工程、水質和化學工程等領域的知名國際期刊上發表了多篇文章。他還擔任Springer和Elsevier國際期刊的活躍審稿人。