Analysis of numerical differentiation methods applied to time domain electromagnetic (TDEM) geophysical data in the S-layer differential transform

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dc.contributor.author Combrinck, M.
dc.date.accessioned 2009-09-17T07:54:18Z
dc.date.available 2009-09-17T07:54:18Z
dc.date.issued 2009
dc.description.abstract The S-layer differential transform produces subsurface conductivity-depth images from Time Domain Electromagnetic (TDEM) data. It is a very fast method, but suffers from high noise levels due to the implementation of two consecutive numerical differentiations that are performed in the algorithm. In this paper, twelve numerical differentiation strategies are compared in order to find the most efficient differentiation scheme, specifically for TDEM data and the S-layer differential transform. The twelve strategies are made up through combinations for three differentiation methods, optional smoothing of data and optional resampling of data to equally spaced intervals. Comparisons are made on analytical, synthetic and field data. en_US
dc.identifier.citation Combrinck, M 2009, 'Analysis of numerical differentiation methods applied to time domain electromagnetic (TDEM) geophysical data in the S-layer differential transform', Computers and Geosciences (2009), doi:10.1016/j.cageo.2008.08.016. en_US
dc.identifier.issn 0098-3004
dc.identifier.other 10.1016/j.cageo.2008.08.016
dc.identifier.uri http://hdl.handle.net/2263/11301
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights Elsevier en_US
dc.subject S-layer differential transform en
dc.subject Time domain electromagnetic (TDEM) en
dc.subject Optional smoothing of data en
dc.subject Optional resampling of data en
dc.subject Equally spaced intervals en
dc.subject.lcsh Numerical differentiation en
dc.subject.lcsh Time-domain analysis en
dc.subject.lcsh Geophysics -- Data processing en
dc.title Analysis of numerical differentiation methods applied to time domain electromagnetic (TDEM) geophysical data in the S-layer differential transform en_US
dc.type Postprint Article en_US


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