Mathematical and Numerical Modeling in Porous Media: Applications in Geosciences: Multiphysics Modeling
Editat de Martin A. Diaz Viera, Pratap Sahay, Manuel Coronado, Arturo Ortiz Tapiaen Limba Engleză Hardback – 24 iul 2012
I Fundamental concepts
II Flow and transport
III Statistical and stochastic characterization
IV Waves
The problems analyzed in this book cover diverse length scales that range from small rock samples to field-size porous formations. They belong to the most active areas of research in porous media with applications in geosciences developed by diverse authors.
This book was written for a broad audience with a prior and basic knowledge of porous media. The book is addressed to a wide readership, and it will be useful not only as an authoritative textbook for undergraduate and graduate students but also as a reference source for professionals including geoscientists, hydrogeologists, geophysicists, engineers, applied mathematicians and others working on porous media.
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Specificații
ISBN-13: 9780415665377
ISBN-10: 041566537X
Pagini: 370
Dimensiuni: 174 x 246 x 23 mm
Greutate: 0.91 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Seria Multiphysics Modeling
ISBN-10: 041566537X
Pagini: 370
Dimensiuni: 174 x 246 x 23 mm
Greutate: 0.91 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Seria Multiphysics Modeling
Public țintă
ProfessionalCuprins
Section 1: Fundamental concepts Section 2: Flow and transport Section 3: Statistical and stochastic characterization Section 4: Waves
Notă biografică
Martin A. Diaz Viera, Pratap Sahay, Manuel Coronado, Arturo Ortiz Tapia
Descriere
Due to the scarcity of information, there is commonly a high degree of uncertainty regarding the properties of porous media. Contributions to the knowledge of modeling flow and transport, as well as to the characterization of porous media at a field scale, are of great relevance. This book broaches several of these issues, treated with assorted methodologies grouped into four parts: Fundamental Concepts, Flow and transport, Statistical and Stochastic characterization, and Waves.