### Abstract

Original language | English |
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Publication status | Published - May 2011 |

Event | 73rd EAGE Conference & Exhibition incorporating SPE EUROPEC 2011 - Vienna, Austria Duration: 23 May 2011 → 26 May 2011 |

### Conference

Conference | 73rd EAGE Conference & Exhibition incorporating SPE EUROPEC 2011 |
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Country | Austria |

City | Vienna |

Period | 23/05/11 → 26/05/11 |

### Fingerprint

### Cite this

*Magnetic gradient tensor eigen-analysis for dyke location*. Paper presented at 73rd EAGE Conference & Exhibition incorporating SPE EUROPEC 2011, Vienna, Austria.

**Magnetic gradient tensor eigen-analysis for dyke location.** / Holstein, H; Fitzgerald, D; Willis, Claire; Foss, CC.

Research output: Contribution to conference › Paper

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TY - CONF

T1 - Magnetic gradient tensor eigen-analysis for dyke location

AU - Holstein, H

AU - Fitzgerald, D

AU - Willis, Claire

AU - Foss, CC

PY - 2011/5

Y1 - 2011/5

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=80052493725&partnerID=8YFLogxK

M3 - Paper

ER -