Thermal Methods: Enhanced Oil Recovery Series
Editat de Abdolhossein Hemmati-Sarapardeh, Alireza Alamatsaz, Mingzhe Dong, Zhaomin Lien Limba Engleză Paperback – 28 apr 2023
Supported by a full spectrum of contributors, this book gives petroleum engineers and researchers the latest research developments and field applications to drive innovation for the future of energy.
- Presents the latest understanding surrounding the updated research and practical applications specific to thermal enhanced oil recovery methods
- Provides an analysis of editors’ research on available technology, including hybrid thermal-solvent processes and dual pipe configurations
- Teaches about additional methods, such as data mining applications, and economic and environmental considerations
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Specificații
ISBN-13: 9780128219331
ISBN-10: 0128219335
Pagini: 460
Ilustrații: 100 illustrations (75 in full color)
Dimensiuni: 191 x 235 x 29 mm
Greutate: 0.79 kg
Editura: ELSEVIER SCIENCE
Seria Enhanced Oil Recovery Series
ISBN-10: 0128219335
Pagini: 460
Ilustrații: 100 illustrations (75 in full color)
Dimensiuni: 191 x 235 x 29 mm
Greutate: 0.79 kg
Editura: ELSEVIER SCIENCE
Seria Enhanced Oil Recovery Series
Cuprins
1. Overview of thermal concepts in enhanced oil recovery
2. Steam flooding (steam drive)
3. Cyclic steam stimulation
4. Steam-assisted gravity drainage
5. In situ combustion
6. Hybrid thermal-solvent process
7. Hybrid thermal-NCG process
8. Hybrid thermal chemical EOR methods
9. Other thermal methods
10. EOR potentials in the poststeam-injected heavy oil reservoirs
11. Formation damage in thermal-enhanced oil recovery
12. Application of data mining in thermal enhanced oil recovery methods
2. Steam flooding (steam drive)
3. Cyclic steam stimulation
4. Steam-assisted gravity drainage
5. In situ combustion
6. Hybrid thermal-solvent process
7. Hybrid thermal-NCG process
8. Hybrid thermal chemical EOR methods
9. Other thermal methods
10. EOR potentials in the poststeam-injected heavy oil reservoirs
11. Formation damage in thermal-enhanced oil recovery
12. Application of data mining in thermal enhanced oil recovery methods