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Inversion of Magnetotelluric data for a One-dimensional Conductivity / by : Kenneth P. Whittall and Douglas W. Oldenburg

By: Contributor(s): Material type: TextTextLanguage: English Series: Geophysical monograph series ; no. 5 | Geophysical monograph series ; no. 5Publication details: Oklahoma , United Stste of America : The Society of Exploration Geophysics , 1992Description: v , 114 pages : illustrations ; 24 cmISBN:
  • 0931830567 (Series)
  • 1560800585 (Volume)
Subject(s): LOC classification:
  • QC809 .E15W48 1992
Summary: The magnetotelluric (MT) method, pioneered by Tikhonov (1950) and Cagniard (1953), has been applied with varying degrees of success to yield information about the Earth's electrical conductivity, temperature regimes, and geologic structure. The strengths and weaknesses of the MT method are now generally appreciated and the majority of research over the past few years has concentrated on data processing, forward modeling and inversion. Historically, MT interpretation has used one-dimensional (1-D) forward modeling algorithms, 1-D inversions, and 2-D forward modeling
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Item type Current library Call number Copy number Status Barcode
Books Books Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي QC809 .E15W48 1992 (Browse shelf(Opens below)) C. 1 Available 10013903

Number 5 : Inversion of Magnetotelluric Data for a One-Dimensional Conductivity by : Kenneth P. Whittall and Douglas W. Oldenburg

Includes bibliographical references and index

The magnetotelluric (MT) method, pioneered by Tikhonov (1950) and Cagniard (1953), has been applied with varying degrees of success to yield information about the Earth's electrical conductivity, temperature regimes, and geologic structure. The strengths and weaknesses of the MT method are now generally appreciated and the majority of research over the past few years has concentrated on data processing, forward modeling and inversion. Historically, MT interpretation has used one-dimensional (1-D) forward modeling algorithms, 1-D inversions, and 2-D forward modeling

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