Development and Application of Classical Capillary Number Curve Theory

Erscheinungsjahr 2020
ISBN: 978-0-12-821225-7
Verlag: Elsevier Inc

Buch, Englisch, 266 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 364 g

Development and Application of Classical Capillary Curve Theory shows readers how to improve chemical flooding recovery procedures in enhanced oil recovery (EOR) using sophisticated numerical modeling techniques for oil displacement that build on, and enhance, the accepted capillary curve in a novel way. The title presents research and technical data that amends the classical capillary curve, giving new impetus to chemical flooding research. By analyzing the capillary number experiment QL, the book models oil and water distribution in the micro-space of the reservoir core.

Finally, the book discusses chemical flooding software, reservoir geological modeling, field tests, and a new technique of digital oil displacement testing being developed.

Zielgruppe

<p>Petroleum scientists/engineers; researchers in EOR; graduate level petroleum engineering students; oilfield development scientists; researchers in reservoir physics.</p>

Autoren/Hrsg.

Qi, Lianqing

Yin, Yanjun

Wang, Yu

Wang, Hongshen

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Erdölenergietechnik
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Öl- und Gasindustrie
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik

Inhaltsverzeichnis

1. Introduction
2. Digital Research on Field Experiment of Combination Flooding
3. Research on Laboratory Combination Flooding Experiment Digitization
4. Construction of Microscopic Oil-water Distribution Model of Experimental
5. Research on the Capillary number experiment curve and relative permeability curve
6. Application of the Microscopic Oil-water Distribution Model in the Digital Displacement Research
7. Further Study on Digital Field Experiment of Combination Flooding

Über Autor(innen)

Qi, Lianqing
Qi Lianqing is a chemical flooding expert for the China National Offshore Oil Company’s (CNOOC) EnerTech-Drilling and Production Company in Tianjin, China. He has led a research and development team on chemical flooding and enhanced oil recovery (EOR) for fifteen years, leading numerous projects. He graduated from Dalian University of Technology, going on to work at the Daqing Oilfield. He has published a number of monographs and papers on chemical flooding.

Yin, Yanjun
Senior reservoir engineer, graduated from Northeast Petroleum University in 2004 with a bachelor degree and mainly engaged in reservoir engineering scheme design, reservoir numerical simulation, and tertiary oil recovery technology research work.

Wang, Hongshen
Senior reservoir engineer, graduated from China Petroleum University (Beijing) in 2002 with a master's degree and mainly engaged in reservoir engineering scheme design, tertiary oil recovery technology research work.

Wang, Yu
Graduated from Xinjiang chemistry institute of Chinese academy of sciences in 1997 with a master's degree in organic chemistry, and China Petroleum University (Beijing) in 2007 with a Doctor degree in chemical engineering. Now he works in Xinjiang oilfield company of China national petroleum corporation. He have been engaged in the research of enhanced oil recovery technology for a long time, especially good at the research of chemical flooding formula design. He has participated in the research of cheap formula of chemical flooding and composite flooding technology of conglomerate reservoir in xinjiang