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Mathematical Model of Spontaneous Potential Well-Logging and Its Numerical Solutions / by Tatsien Li, Yongji Tan, Zhijie Cai, Wei Chen, Jingnong Wang
(SpringerBriefs in Mathematics. ISSN:21918201)

1st ed. 2014.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2014
本文言語 英語
大きさ VII, 67 p. 28 illus., 14 illus. in color : online resource
著者標目 *Li, Tatsien author
Tan, Yongji author
Cai, Zhijie author
Chen, Wei author
Wang, Jingnong author
SpringerLink (Online service)
件 名 LCSH:Differential equations
LCSH:Geophysics
LCSH:Numerical analysis
LCSH:Functional analysis
FREE:Differential Equations
FREE:Geophysics
FREE:Numerical Analysis
FREE:Functional Analysis
一般注記 Preface -- Modeling -- Properties of solutions -- Limiting behavior -- Techniques of solution -- Numerical simulation -- Bibliography
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
HTTP:URL=https://doi.org/10.1007/978-3-642-41425-1
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Springer eBooks 9783642414251
電子リソース
EB00226836

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データ種別 電子ブック
分 類 LCC:QA370-380
DC23:515.35
書誌ID 4000116095
ISBN 9783642414251

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