This comprehensive resource bridges the knowledge gap in applying modern artificial intelligence and machine learning methods to the petroleum sector. It explores how artificial intelligence (AI), machine learning (ML), and data analytics enhance efficiency, safety, and productivity in operations across various segments of the oil and gas value chain, including exploration, drilling, production, reservoir management, and renewables integration.
• Covers theoretical and practical aspects of AI/ML applications, from foundational concepts to advanced techniques.
• Features examples and A-to-Z practical workflows, empowering readers to apply what they learn directly to real-world challenges.
• Includes 500 international case studies, highlighting real-world successes, challenges, and lessons learned from a global perspective.
• Offers insights into emerging technologies like Industry 4.0, digital twins, smart fields, and Internet of Things applications, as well as more traditional areas such as drilling optimization and enhanced recovery operations.
With the growing importance of advanced data-driven approaches, this book provides value to both technical professionals looking for hands-on solutions and academics seeking a well-structured textbook for advanced studies.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Cenk Temizel is an energy professional with 20 years of international experience in the oil and gas industry. He was a research assistant at Stanford University before joining the industry and is the recipient of the SPE Regional Reservoir Description and Dynamics Award. He received his MSc in Petroleum Engineering from the University of Southern California and BSc from Middle East Technical University - Ankara.
Salih Tutun is an AI researcher and faculty member at the Olin Business School, Washington University in St. Louis. His research on Networked Pattern Recognition has been featured by global news organizations. Dr. Tutun also serves as a senior AI consultant on projects on IT artifacts and products for business decision-making and has developed several products, including MDScan, XScanner, NEPAR, SASX, DIA, and DemansCheck. He is an External Advisory Board Member of the SkillMeet project funded under the Horizon Europe program.
Celal Hakan Canbaz is a Senior Energy Expert with deep expertise in SCAL analysis, reservoir engineering, and well-testing, gained through both academic and industrial work. He is the co-founder of Climpach Consulting LLC and has led or contributed to over 30 projects, 50 publications, and 3 books. Canbaz has delivered 50+ technical courses on energy, project finance, and sustainability, and holds a U.S. patent in reservoir wettability. Recognized among Azerbaijan’s top 100 scientists, he holds M.Sc. and B.Sc. degrees from Istanbul Technical University and is active in SPE and EAGE.
Ekrem Alagoz is a drilling supervisor at Turkish Petroleum Corporation (TPAO). He earned a BS degree from Iskenderun Technical University and an MS degree from The University of Texas at Austin, both in petroleum engineering. He previously worked as a hydraulic fracturing research engineer in the R&D department of TPAO.
Emre Can Dundar earned a BS degree from Bülent Ecevit University in Mining Engineering and an MS degree from The West Virginia University in Petroleum and Natural Gas Engineering Department. He is currently the head of the Hydraulic Fracturing Department at Turkish Petroleum Corporation (TPAO), where he is responsible for performing frac design and execution operations.
Mufrettin Murat Sari is a Chemistry Professor in the Department of Chemistry & Biochemistry, Texas Tech University, USA. He has more than 25 years of experience in the fields of Materials Chemistry, Applied Biochemistry, Biotechnology, and Nanotechnology. He received a Ph.D. degree from Hacettepe University, Turkey in 2005. He has published around 40 scientific articles, proceedings, books, book chapters, and other publications with hundreds of citations. Previously, he was a teaching assistant at Hacettepe University, researcher at Criminal Department Research Center, Ankara, Turkey, professor at Turkish Military Academy & National Defense University, and visiting professor at Texas A&M University, College Station.
Luigi Saputelli is a seasoned Reservoir Engineering Expert Advisor, having worked as a reservoir, drilling, and production engineer for PDVSA, ADNOC, Hess, and Halliburton. Dr. Saputelli is a researcher, lecturer, and active volunteer in the Society of Petroleum Engineers. He holds a PhD in Chemical Engineering from University of Houston.
Mehmet Melih Oskay earned his PhD degree in Petroleum Engineering from The University of Texas. He has taught at University of Texas, Louisiana Tech University, Middle East Technical University and King Fahd University of Petroleum and Minerals. His industrial experience covers Shell, Kuwait Oil Company and Kuwait Gulf Oil Company. He has represented the latter two companies at joint operating committees including government representatives for Saudi Arabia and Kuwait.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Codice articolo ABEOCT25-381344
Quantità: 8 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26404380320
Quantità: 4 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Codice articolo 409855359
Quantità: 4 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 50334606-n
Quantità: 10 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18404380330
Quantità: 4 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This comprehensive resource bridges the knowledge gap in applying modern artificial intelligence and machine learning methods to the petroleum sector. It explores how artificial intelligence (AI), machine learning (ML), and data analytics enhance efficiency, safety, and productivity in operations across various segments of the oil and gas value chain, including exploration, drilling, production, reservoir management, and renewables integration. Covers theoretical and practical aspects of AI/ML applications, from foundational concepts to advanced techniques. Features examples and A-to-Z practical workflows, empowering readers to apply what they learn directly to real-world challenges. Includes 500 international case studies, highlighting real-world successes, challenges, and lessons learned from a global perspective. Offers insights into emerging technologies like Industry 4.0, digital twins, smart fields, and Internet of Things applications, as well as more traditional areas such as drilling optimization and enhanced recovery operations.With the growing importance of advanced data-driven approaches, this book provides value to both technical professionals looking for hands-on solutions and academics seeking a well-structured textbook for advanced studies. This comprehensive resource bridges the knowledge gap in applying modern AI and ML methods to the petroleum sector. It explores how AI, ML, and data analytics enhance efficiency, safety, and productivity in operations across the oil and gas value chain, like exploration, drilling, production, reservoir management, and renewables integration. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781041020073
Quantità: 1 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 50334606-n
Quantità: 10 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 50334606
Quantità: 10 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Hardcover. Condizione: new. Hardcover. This comprehensive resource bridges the knowledge gap in applying modern artificial intelligence and machine learning methods to the petroleum sector. It explores how artificial intelligence (AI), machine learning (ML), and data analytics enhance efficiency, safety, and productivity in operations across various segments of the oil and gas value chain, including exploration, drilling, production, reservoir management, and renewables integration. Covers theoretical and practical aspects of AI/ML applications, from foundational concepts to advanced techniques. Features examples and A-to-Z practical workflows, empowering readers to apply what they learn directly to real-world challenges. Includes 500 international case studies, highlighting real-world successes, challenges, and lessons learned from a global perspective. Offers insights into emerging technologies like Industry 4.0, digital twins, smart fields, and Internet of Things applications, as well as more traditional areas such as drilling optimization and enhanced recovery operations.With the growing importance of advanced data-driven approaches, this book provides value to both technical professionals looking for hands-on solutions and academics seeking a well-structured textbook for advanced studies. This comprehensive resource bridges the knowledge gap in applying modern AI and ML methods to the petroleum sector. It explores how AI, ML, and data analytics enhance efficiency, safety, and productivity in operations across the oil and gas value chain, like exploration, drilling, production, reservoir management, and renewables integration. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781041020073
Quantità: 1 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 50334606
Quantità: Più di 20 disponibili