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Print Material
Author Pardo, David.

Title Modeling of resistivity and acoustic borehole logging measurements using finite element methods / David Pardo [and five others].

Imprint Amsterdam : Elsevier, 2021.


Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
 Axe Elsevier ScienceDirect Ebook    ---  Available
Description 1 online resource
text txt rdacontent
still image sti rdacontent
computer c rdamedia
online resource cr rdacarrier
Summary Modeling of Resistivity and Acoustic Borehole Logging Measurements Using Finite Element Methods provides a comprehensive review of different resistivity and sonic logging instruments used within the oil industry, along with precise and solid mathematical descriptions of the physical equations and corresponding FE formulations that govern these measurements. Additionally, the book emphasizes the main modeling considerations that one needs to incorporate into the simulations in order to obtain reliable and accurate results. Essentially, the formulations and methods described here can also be applied to simulate on-surface geophysical measurements such as seismic or marine controlled-source electromagnetic (CSEM) measurements. Simulation results obtained using FE methods are superior. FE methods employ a mathematical terminology based on FE spaces that facilitate the design of sophisticated formulations and implementations according to the specifics of each problem. This mathematical FE framework provides a highly accurate, robust, and flexible unified environment for the solution of multi-physics problems. Thus, readers will benefit from this resource by learning how to make a variety of logging simulations using a unified FE framework.
Subject Oil well logging, Electric -- Mathematical models.
Oil well logging, Acoustic -- Mathematical models.
Finite element method.
Diagraphies électriques -- Modèles mathématiques.
Diagraphies acoustiques -- Modèles mathématiques.
Méthode des éléments finis.
Finite element method. (OCoLC)fst00924897
Oil well logging, Electric -- Mathematical models. (OCoLC)fst01044905
Other Form: Print version: 0128214546 9780128214541 (OCoLC)1182570578
ISBN 9780128214657 (electronic bk.)
0128214651 (electronic bk.)
9780128214541 (print)
0128214546 (print)
Standard No. AU@ 000069405230
UKMGB 020173467

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