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Books > Business & Economics > Industry & industrial studies > Primary industries > Mining industry

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Development and Application of Classical Capillary Number Curve Theory (Paperback) Loot Price: R2,788

Discovery Miles 27 880

Repayment Terms: R261 pm x 12*

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Development and Application of Classical Capillary Number Curve Theory (Paperback): Lianqing Qi, Yanjun Yin, Yu Wang, Qigui Ma,...

Development and Application of Classical Capillary Number Curve Theory (Paperback)

Lianqing Qi, Yanjun Yin, Yu Wang, Qigui Ma, Hongshen Wang

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Loot Price R2,788 Discovery Miles 27 880 | Repayment Terms: R261 pm x 12*

Expected to ship within 12 - 19 working days

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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.

General

Imprint:	Gulf Professional Publishing
Country of origin:	United States
Release date:	October 2020
First published:	2021
Authors:	Lianqing Qi • Yanjun Yin • Yu Wang • Qigui Ma • Hongshen Wang
Dimensions:	229 x 152 x 22mm (L x W x T)
Format:	Paperback
Pages:	266
ISBN-13:	978-0-12-821225-7
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Business & Economics > Industry & industrial studies > Primary industries > Mining industry Books > Professional & Technical > Energy technology & engineering > Fossil fuel technologies > Petroleum technology Promotions
LSN:	0-12-821225-X
Barcode:	9780128212257