Mathematical Model of Spontaneous Potential Well-Logging and Its Numerical Solutions

Spontaneous potential (SP) well-logging is one of the most common and useful well-logging techniques in petroleum exploitation. This monograph is the first of its kind on the mathematical model of spontaneous potential well-logging and its numerical solutions. The mathematical model established in t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Li, Tatsien (Autor), Tan, Yongji (Autor), Cai, Zhijie (Autor), Chen, Wei (Autor), Wang, Jingnong (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:SpringerBriefs in Mathematics,
Temas:
Differential equations.
Geophysics.
Numerical analysis.
Functional analysis.
Differential Equations.
Numerical Analysis.
Functional Analysis.
Acceso en línea:Texto Completo

MARC

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100 1 |a Li, Tatsien.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Mathematical Model of Spontaneous Potential Well-Logging and Its Numerical Solutions  |h [electronic resource] /  |c by Tatsien Li, Yongji Tan, Zhijie Cai, Wei Chen, Jingnong Wang. 
250 |a 1st ed. 2014. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a VII, 67 p. 28 illus., 14 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Preface -- Modeling -- Properties of solutions -- Limiting behavior -- Techniques of solution -- Numerical simulation -- Bibliography. 
520 |a Spontaneous potential (SP) well-logging is one of the most common and useful well-logging techniques in petroleum exploitation. This monograph is the first of its kind on the mathematical model of spontaneous potential well-logging and its numerical solutions. The mathematical model established in this book shows the necessity of introducing Sobolev spaces with fractional power, which seriously increases the difficulty of proving the well-posedness and proposing numerical solution schemes. In this book, in the axi-symmetric situation the well-posedness of the corresponding mathematical model is proved and three efficient schemes of numerical solution are proposed, supported by a number of numerical examples to meet practical computation needs. 
650 0 |a Differential equations. 
650 0 |a Geophysics. 
650 0 |a Numerical analysis. 
650 0 |a Functional analysis. 
650 1 4 |a Differential Equations. 
650 2 4 |a Geophysics. 
650 2 4 |a Numerical Analysis. 
650 2 4 |a Functional Analysis. 
700 1 |a Tan, Yongji.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Cai, Zhijie.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Chen, Wei.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Wang, Jingnong.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642414268 
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830 0 |a SpringerBriefs in Mathematics,  |x 2191-8201 
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950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713) 

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