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Hybrid Enhanced Oil Recovery Processes for Heavy Oil Reservoirs

Xiaohu Dong, Huiqing Liu, Zhangxin Chen
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      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.
      Format: CONTRIBUTORS: Xiaohu Dong, Huiqing Liu, Zhangxin Chen EAN: 9780128239544 COUNTRY: United States PAGES: WEIGHT: 1000 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier Science Publishing Co Inc DATE PUBLISHED: 2021-11-02 CITY: GENRE: BUSINESS & ECONOMICS / Industries / Natural Resource Extraction, TECHNOLOGY & ENGINEERING / Petroleum WIDTH: 152 cm SPINE:

      Book Themes:

      Petroleum technology

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      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. 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. 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.
      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.
      Format: CONTRIBUTORS: Xiaohu Dong, Huiqing Liu, Zhangxin Chen EAN: 9780128239544 COUNTRY: United States PAGES: WEIGHT: 1000 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier Science Publishing Co Inc DATE PUBLISHED: 2021-11-02 CITY: GENRE: BUSINESS & ECONOMICS / Industries / Natural Resource Extraction, TECHNOLOGY & ENGINEERING / Petroleum WIDTH: 152 cm SPINE:

      Book Themes:

      Petroleum technology

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      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. 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. 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.

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