Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry
暫譯: 理解石油與天然氣產業中的數據分析與預測模型

Srivastava, Kingshuk, Singh, Thipendra P., Pradhan, Manas Ranjan

Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry
  • 出版商: CRC
  • 出版日期: 2025-06-27
  • 售價: $2,340
  • 貴賓價: 9.5 折 $2,223
  • 語言: 英文
  • 頁數: 168
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032413891
  • ISBN-13: 9781032413891
  • 相關分類: Data Science、Machine Learning

    • 尚未上市，無法訂購

相關主題

商品描述

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.

商品描述(中文翻譯)

這本書探討了在石油和天然氣行業中使用的數據科學和預測分析的各個方面，著眼於該行業特有的數據處理和數據建模挑戰。內容涵蓋上游管理、智能/數位井、價值鏈整合、原油籃子預測等主題。書中進一步討論了與各種相關主題有關的理論、方法論、成熟且經過驗證的實證研究。特別關注於實驗性主題，並提供了多個案例研究。

特色：
- 提供對應用於石油和天然氣行業的IT技術基礎的理解
- 包含不同人工智慧技術之間的深入比較
- 分析石油和天然氣行業中的不同模擬器以及人工智慧應用的討論
- 專注於深入的實驗性和應用性主題
- 詳細介紹上游和下游的不同案例研究

本書旨在為石油工程、上游行業、數據分析以及石油和天然氣數位轉型過程中的專業人士和研究生提供參考。

作者簡介

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.

作者簡介(中文翻譯)

Kingshuk Srivastava 目前在印度德拉敦的 UPES 擔任教職，擁有超過 12 年在石油和天然氣領域的數據分析豐富經驗。他在 UPES 獲得計算機科學工程的博士學位，研究領域包括人工智慧（AI）、數據科學和 NOSQL 數據庫。他為 Birlasoft Technologies 設計、開發並提供了有關石油和天然氣價值鏈中不同 IT 方面的培訓。他在國內外期刊上發表了多篇與其研究興趣相關的論文。

Thipendra P Singh 目前擔任印度大諾伊達 Bennett University 計算機科學工程與技術學院的教授。在此之前，他曾與 UPES 大學和 Sharda 大學有關聯。他擁有新德里的 Jamia Millia Islamia University 的計算機科學博士學位，擁有 26 年的豐富經驗。他也在法國和英國的多所大學指導博士生。他是一位廣泛旅行的學者，曾參加過包括英國、法國、阿聯酋和新加坡在內的各種國際平台。他編輯了 10 本有關計算機科學各種相關主題的書籍。Dr. Singh 是 IEEE 的高級會員，並且是 IEI、ACM、EAI、ISTE、IAENG 等多個專業機構的成員，同時也是不同期刊的編輯/審稿委員會成員。自 2019 年以來，他是 IETA-India 的研究員。他還在多所印度及國外大學的學術委員會中任職。

Manas Ranjan Pradhan 擁有印度邁索爾大學的計算機科學博士學位，以及印度烏塔卡爾大學的計算機科學技術碩士學位。他在印度及國外的教學、研究和學術管理方面擁有豐富的經驗。目前，他在阿聯酋沙迦的 Skyline University College 工作。他與 IT 行業合作進行產學合作、實習、就業和工作坊。他在馬來西亞的 INTI International University 執行了 IBM 雲計算和商業分析教育中心的項目，該校隸屬於美國的 Laureate International Universities。他在各種會議和期刊上發表了多篇研究論文，擁有 3 項印度專利和 3 項澳大利亞專利。他的專業領域包括商業分析、數據挖掘、數據倉儲、零售/電子商務分析、人工智慧、機器學習和商業流程建模。

Dr. Vinit Kumar Gunjan 是海得拉巴 CMR Institute of Technology 計算機科學與工程系的副教授及學術事務院長。他在 IEEE、Elsevier 和 Springer 會議上發表了研究論文，並著作了幾本書籍和編輯了多部 Springer 系列的著作，其中大部分已在 SCOPUS 數據庫中索引。

類似商品