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Ovadia Shoham Mechanistic Modeling of Gas-Liquid Two-Phase Flow in P (Paperback)

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes
Title
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes
ISBN-10
155563107X
EAN
9781555631079
ISBN
9781555631079
Release Date
06/27/2013
Release Year
2013
Item Height
254mm
Item Length
178mm
Item Width
21mm
Item Weight
703g
Type
Textbook
Format
Trade Paperback
Language
English
Subject Area
Technology & Engineering, Science
Publication Name
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes
Author
Ovadia Shoham
Publisher
Society of Petroleum Engineers
Subject
Mechanics / Fluids, Chemical & Biochemical
Number of Pages
408 Pages

About this product

Product Identifiers

Publisher
Society of Petroleum Engineers
ISBN-10
155563107X
ISBN-13
9781555631079
eBay Product ID (ePID)
23038391089

Product Key Features

Subject
Mechanics / Fluids, Chemical & Biochemical
Number of Pages
408 Pages
Language
English
Publication Name
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes
Type
Textbook
Author
Ovadia Shoham
Subject Area
Technology & Engineering, Science
Format
Trade Paperback

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2009-278109
Illustrated
Yes
Synopsis
The objectives of this book are twofold: to provide insight and understanding of two-phase flow phenomena and to develop analytical tools for either designing two-phase flow systems or conducting research in this area. The traditional approach for two-phase flow prediction was based on the development of an empirical correlation from experimental data. This book presents the recent approach, in which mathematical mechanistic models are developed, based on the physical phenomena, to predict two-phase flow behavior. The models can be verified and refined with limited experimental data. However, as these models incorporate the physical phenomena and the important flow variables, they can be extended to different operational conditions and can enable scaleup with significant confidence.
LC Classification Number
TA357.5.M84S56 2006

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