Magnetic gradient tensor eigen-analysis for dyke location

H Holstein, D Fitzgerald, Claire Willis, CC Foss

Research output: Contribution to conferencePaperpeer-review

5 Citations (SciVal)


We have developed an optimization method for automatic dyke delineation from observed magnetic gradient traverse data. A non-linear least squares algorithm is used to find model dyke parameters that best fit the computed gradient tensor data to the observed data. The problem of encountering local minima during the inversion makes it imperative to find good starting parameters for the model. We determine such starting parameters on the basis of the eigen-properties of the observed gradient data, assuming a dyke model of constant cross-section and infinite strike extent. The method works well on synthetic examples. A real case study with remanence, taken from the Platreef, shows that the gross observed gradient features can be recovered by such a model, but the residuals in the gradient fit hint strongly to a need for more complex dyke models.
Original languageEnglish
Publication statusPublished - May 2011
Event73rd EAGE Conference & Exhibition incorporating SPE EUROPEC 2011 - Vienna, Austria
Duration: 23 May 201126 May 2011


Conference73rd EAGE Conference & Exhibition incorporating SPE EUROPEC 2011


Dive into the research topics of 'Magnetic gradient tensor eigen-analysis for dyke location'. Together they form a unique fingerprint.

Cite this