Application of Big Data in Petroleum Streams
暫譯: 石油流中的大數據應用

Gohil, Jay, Shah, Manan

Application of Big Data in Petroleum Streams
  • 出版商: CRC
  • 出版日期: 2022-05-09
  • 售價: $3,830
  • 貴賓價: 9.5 折 $3,639
  • 語言: 英文
  • 頁數: 168
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032028963
  • ISBN-13: 9781032028965
  • 相關分類: 大數據 Big-data

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The book aims to provide comprehensive knowledge and information pertaining to application or implementation of big data in the 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 operation 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 with big data (along with data science, machine learning and artificial intelligence) in general and how it affects and impacts 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 a wonderful read.

商品描述(中文翻譯)

本書旨在提供與大數據在石油產業及其運作（如勘探、生產、煉油和金融）應用或實施相關的全面知識和資訊。

本書以簡明的方式涵蓋大數據的複雜面向，如6Vs、好處、應用、實施、研究工作以及與每個石油相關操作的實際應用，幫助讀者理解大數據在該產業中的角色概覽。

本書與希望了解大數據（以及數據科學、機器學習和人工智慧）工作細節的讀者產生共鳴，並探討其如何影響整個產業。由於本書從基礎到產業層級構建大數據的各種概念，想要以簡單語言從最基本的知識獲得產業層級的大數據相關知識的讀者，會發現這是一本極佳的讀物。

作者簡介

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.

作者簡介(中文翻譯)

Jay Gohil 先生目前在 Pandit Deendayal Energy University 攻讀資訊與通信技術的技術學士學位。在他的學術研究期間，他已撰寫三篇研究論文、兩篇會議論文、兩章書籍章節以及一本書（本書）。他的研究興趣包括大數據（Big Data）、數據科學（Data Science）、機器學習（Machine Learning）、深度學習（Deep Learning）、數據挖掘（Data Mining）和人工智慧（Artificial Intelligence），並在這些領域的知名期刊上發表了研究成果。他曾在印度的印度空間研究組織（ISRO）和加拿大的瑞爾森大學（Ryerson University）擔任研究實習生。他同時也是 Google 開發者學生社群（DSC）負責人、微軟學習學生大使、英特爾物聯網學生大使、IBM Z 大使、AWS 社群建設者以及 deeplearning.ai 活動大使。

Manan Shah 博士擁有 LD 工程學院的化學工程學士學位（B.E.）和 PDPU 石油技術學院的石油工程碩士學位（M.Tech.）。他在古吉拉特邦的地熱能源勘探與開發領域完成了博士學位（Ph.D.）。目前，他是 PDPU 技術學院（School of Technology, SOT）化學工程系的助理教授，以及地熱能源卓越中心（Centre of Excellence for Geothermal Energy, CEGE）的研究科學家。他的研究領域之一是利用有機朗肯循環（Organic Rankine Cycle）從低焓地熱儲層中發電。他還參與了 Dholera 的地熱空間供暖和冷卻系統的設計，並在可再生能源領域進行混合設置的研究。Shah 博士曾獲得科學與工程研究委員會（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多篇文章發表於知名國際期刊。他還擔任多本 Springer 和 Elsevier 國際期刊的活躍審稿人。

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