Sustainable In-Situ Heavy Oil and Bitumen Recovery: Techniques, Case Studies, and Environmental Considerations
Autor Mohammadali Ahmadien Limba Engleză Paperback – 26 mar 2023
- Explains environmental footprint considerations within each recovery method
- Includes the latest hybrid methods such as Hybrid of Air-CO2N2 and Cyclic Steam Stimulation (CSS)
- Bridges practical knowledge through case studies, summaries and remaining technical challenges
Preț: 902.60 lei
Preț vechi: 1181.49 lei
-24% Nou
Puncte Express: 1354
Preț estimativ în valută:
172.76€ • 179.67$ • 144.77£
172.76€ • 179.67$ • 144.77£
Carte tipărită la comandă
Livrare economică 06-20 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780323908481
ISBN-10: 0323908489
Pagini: 510
Ilustrații: 160 illustrations (100 in full color)
Dimensiuni: 152 x 229 x 28 mm
Greutate: 0.68 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323908489
Pagini: 510
Ilustrații: 160 illustrations (100 in full color)
Dimensiuni: 152 x 229 x 28 mm
Greutate: 0.68 kg
Editura: ELSEVIER SCIENCE
Cuprins
Dr. Mohammadali Ahmadi holds a BSc with distinction (Petroleum University of Technology), an MSc (Petroleum University of Technology) in Petroleum Engineering, and an MEng (Memorial University of Newfoundland) in Process Engineering, as well as a Ph.D. in Chemical and Petroleum Engineering from the University of Calgary. He published more than 160 papers in highly-ranked ISI journals and served as an invited speaker and session chair for various conferences worldwide. According to a database published in Elsevier publishing group in collaboration with Stanford University, he was named as a top 2% of the most cited scientists from 2018 to 2022. He was the recipient of multiple prestigious awards and scholarships, such as the Vanier scholarship, Izaak Walton Killam Doctoral Scholarship, the Alberta Innovates Graduate Student Scholarship, and the J. B. Hyne Research Innovation Award. As an Associate Editor, Editorial Board Member, and Advisory Board Member, he has served several international chemical engineering and energy-related journals. His research interests include molecular dynamics (MD) simulation, mathematical modeling, enhanced oil recovery (EOR), thermodynamics, and artificial intelligence and machine learning application in the oil and gas industry.