Dong, X: Hybrid Enhanced Oil Recovery Processes for Heavy Oi

Erscheinungsjahr 2021
ISBN: 978-0-12-823954-4
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 328 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 1000 g

Hybrid Enhanced Oil Recovery Processes for Heavy Oil Reservoirs, Volume 73 systematically introduces these technologies. As the development of heavy oil reservoirs is emphasized, the petroleum industry is faced with the challenges of selecting cost-effective and environmentally friendly recovery processes. This book tackles these challenges with the introduction and investigation of a variety of hybrid EOR processes. In addition, it addresses the application of these hybrid EOR processes in onshore and offshore heavy oil reservoirs, including theoretical, experimental and simulation approaches.

This book will be very useful for petroleum engineers, technicians, academics and students who need to study the hybrid EOR processes, In addition, it will provide an excellent reference for field operations by the petroleum industry.

Zielgruppe

<p>Students, technicians, researchers and practitioners from petroleum engineering, chemical engineering and mining engineering.</p>

Autoren/Hrsg.

Dong, Xiaohu

Liu, Huiqing

Chen, Zhangxing

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Öl- und Gasindustrie
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Primärer Sektor Bergbau
• Technische Wissenschaften Energietechnik | Elektrotechnik Erdölenergietechnik

Inhaltsverzeichnis

1. Introduction to Hybrid EOR Processes 2. Existing Problems for Steam-based EOR Processes in Heavy Oil Reservoirs 3. Wellbore Heat Loss 4. Heat and Mass Transfer between Wellbores and Reservoirs 5. PVT Behaviors of Heavy Oil-MMFs Mixtures 6. MDS for Hybrid EOR Processes 7. Pore Scale Simulation for Hybrid EOR Processes 8. Experiments on Recovery Performance of Hybrid EOR Processes 9. Challenges in Application of Hybrid EOR Processes 10. Other EOR Processes and Future Trends

Über Autor(innen)

Chen, Zhangxing
Zhangxin Chen is a professor in the Department of Chemical and Petroleum Engineering and the Director of the Foundation CMG/Frank and Sarah Meyer Collaboration Centre at the University of Calgary. He is a fellow of the Canadian Academy of Engineering. Dr. Chen has the distinction of holding two chairs: the Natural Sciences and Engineering Research Council of Canada/Energi Simulation Senior Research Chair in Reservoir Simulation and the Alberta Innovates Technology Futures (AITF, formerly iCORE) Industrial Chair in Reservoir Modeling. Dr. Chen holds a PhD degree from Purdue University.

Liu, Huiqing
Huiqing Liu is a professor in the College of Petroleum Engineering at the China University of Petroleum-Beijing (CUPB). He previously studied at the University of Wyoming as a visiting scholar. Currently, he is the director of the Academic Committee in the College of Petroleum Engineering in CUPB. Dr. Liu's research interests include thermal recovery techniques, numerical simulation, multiphase flow in porous media, and EOR. He holds bachelor's, Master's, and PhD degrees all in petroleum engineering from the China University of Petroleum.

Dong, Xiaohu
Xiaohu Dong is currently an associate professor in the College of Petroleum Engineering at the China University of Petroleum-Beijing. Previously, he was a postdoctoral fellow at the University of Calgary. Dr. Dong has authored or co-authored more than 60 technical papers and 7 patents. He is an active member of SPE and the reviewer for more than 30 international journals. His research interests include thermal/non-thermal heavy oil recovery techniques, multiphase flow in porous media, phase behavior of fluids in unconventional reservoirs, and EOR processes. He holds a PhD degree in petroleum engineering from the China University of Petroleum-Beijing.