Hybrid Enhanced Oil Recovery Processes for Heavy Oil Reservoirs
- 1st Edition, Volume 73 - October 27, 2021
- Imprint: Elsevier
- Authors: Xiaohu Dong, Huiqing Liu, Zhangxing Chen
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 9 5 4 - 4
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 4 2 2 7 - 8
Hybrid Enhanced Oil Recovery Processes for Heavy Oil Reservoirs, Volume 73 systematically introduces these technologies. As the development of heavy oil reservoirs is emphasize… Read more
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Request a sales quoteHybrid 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.
- Introduces emerging hybrid EOR processes and their technical details
- Includes case studies to help readers understand the application potential of hybrid EOR processes from different points-of-view
- Features theoretical, experimental and simulation studies to help readers understand the advantages and challenges of each process
Students, technicians, researchers and practitioners from petroleum engineering, chemical engineering and mining engineering
- Cover image
- Title page
- Table of Contents
- Copyright
- Chapter 1. Introduction to hybrid enhanced oil recovery processes
- 1.1. Introduction to heavy oil and oil sands reservoirs
- 1.2. Steam-based recovery processes
- 1.3. Concepts of hybrid enhanced oil recovery processes
- 1.4. Multicomponent and multiphase fluids
- 1.5. Hybrid thermo-solvent processes
- 1.6. Hybrid thermal–noncondensable gas processes
- 1.7. Hybrid thermochemical processes
- 1.8. Field implementation of hybrid enhanced oil recovery processes
- Chapter 2. Existing problems for steam-based enhanced oil recovery processes in heavy oil reservoirs
- 2.1. Current status of steam-based enhanced oil recovery processes
- 2.2. Steam overlap
- 2.3. Steam breakthrough
- 2.4. Fine migration
- 2.5. Mineral dissolution and transformation
- 2.6. Clay swelling
- 2.7. Water coning
- 2.8. Other steam–rock interactions
- 2.9. Remaining oil saturation distribution
- 2.10. Discussion of enhanced oil recovery research directions
- Chapter 3. Calculations of wellbore heat loss
- 3.1. Introduction to wellbore heat loss
- 3.2. Configuration of vertical steam injection wells
- 3.3. Configuration of horizontal steam injection wells
- 3.4. Types of heat transfer
- 3.5. Wellbore heat loss models in pure steam injection processes
- 3.6. Wellbore heat loss models for steam-NCG coinjection process
- 3.7. Wellbore heat loss models for offshore wellbore configurations
- 3.8. Discussion on wellbore heat loss
- Chapter 4. Heat and mass transfer behavior between wellbores and reservoirs
- 4.1. Flow behavior of heavy oil in porous media
- 4.2. New productivity models for thermal wells
- 4.3. Experimental tests for steam conformance along wellbores
- 4.4. Mathematical models for pure steam injection processes
- 4.5. Mathematical models for steam–noncondensable gas co-injection process
- 4.6. Methods to improve steam conformance along wellbores
- Chapter 5. Fluid phase behavior of heavy oil–multicomponent and multiphase fluid mixtures
- 5.1. Introduction
- 5.2. Pressure–volume–temperature behavior of heavy oil–noncondensable gas mixture
- 5.3. Oxidation reaction law of heavy oil–air system
- 5.4. Phase behavior of heavy oil–solvent mixture
- 5.5. Phase behavior of heavy oil–chemical mixture
- Chapter 6. Molecular dynamic simulation for hybrid enhanced oil recovery processes
- 6.1. Molecular dynamic simulation for adsorption configurations of heavy crude oil
- 6.2. Molecular dynamic simulation for heavy oil–water mixtures
- 6.3. Molecular dynamic simulation for a hybrid thermal–noncondensable gas process
- 6.4. Molecular dynamic simulation for a hybrid thermal-solvent process
- 6.5. Molecular dynamic simulation for a hybrid thermal-chemical process
- 6.6. Discussion
- Chapter 7. Microscale experiments for hybrid enhanced oil recovery processes
- 7.1. Microscale experimental methods
- 7.2. Microscale experiments on pure steam injection
- 7.3. Microscale experiments on a hybrid thermal–noncondensable gas process
- 7.4. Microscale experiments on behavior of heavy oil–CO2 system in porous media
- 7.5. Microscale experiments on hybrid thermochemical process
- 7.6. Microscale experiments on movement of emulsion droplets in hybrid processes
- 7.7. Pore-scale enhanced oil recovery mechanisms of hybrid enhanced oil recovery processes
- Chapter 8. Macroscale experiments for hybrid enhanced oil recovery processes
- 8.1. One-dimensional sand pack displacement experiments
- 8.2. Similarity criterion in three-dimensional experiments
- 8.3. Three-dimensional experiment on performance of steam injection processes
- 8.4. Three-dimensional experiments on performance of hybrid enhanced oil recovery processes
- 8.5. Macroscale enhanced oil recovery mechanisms
- Chapter 9. Challenges in application of hybrid enhanced oil recovery processes
- 9.1. Reservoir adaptability
- 9.2. Reservoir lithology
- 9.3. Offshore versus onshore heavy oil fields
- 9.4. Conversion time and operation time
- 9.5. Formation damage
- 9.6. Methods after hybrid enhanced oil recovery processes
- Chapter 10. Other enhanced oil recovery processes and future trends
- 10.1. Introduction
- 10.2. Electrical heating
- 10.3. Nanotechnology
- 10.4. Ionic liquids
- 10.5. Solar and nuclear energy
- 10.6. Wellbore configurations
- 10.7. Future trends
- Index
- Edition: 1
- Volume: 73
- Published: October 27, 2021
- Imprint: Elsevier
- No. of pages: 328
- Language: English
- Paperback ISBN: 9780128239544
- eBook ISBN: 9780128242278
XD
Xiaohu Dong
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.
Affiliations and expertise
Associate Professor, College of Petroleum Engineering, China University of Petroleum-Beijing, ChinaHL
Huiqing Liu
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.
Affiliations and expertise
Professor, College of Petroleum Engineering, China University of Petroleum-Beijing (CUPB), ChinaZC
Zhangxing Chen
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.
Affiliations and expertise
Professor, Department of Chemical and Petroleum Engineering; Director of the Foundation CMG/Frank and Sarah Meyer Collaboration Centre, University of Calgary, Alberta, CanadaRead Hybrid Enhanced Oil Recovery Processes for Heavy Oil Reservoirs on ScienceDirect