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000852672 037__ $$aFZJ-2018-05545
000852672 041__ $$aEnglish
000852672 1001_ $$0P:(DE-Juel1)173971$$aAdrian, Juliane$$b0$$ufzj
000852672 1112_ $$aAnnual Meeting of the German Geophysical Society$$cMünster$$d2016-03-14 - 2016-03-17$$gDGG2016$$wGermany
000852672 245__ $$a2D inversion of DCR and Time Domain IP data using a Finite Element approach on an unstructured mesh: an example from ore exploration
000852672 260__ $$c2016
000852672 3367_ $$033$$2EndNote$$aConference Paper
000852672 3367_ $$2DataCite$$aOther
000852672 3367_ $$2BibTeX$$aINPROCEEDINGS
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000852672 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1538135841_12818$$xAfter Call
000852672 520__ $$aOre deposits often appear as disseminated sulfidic materials. Exploring these deposits with the Direct Current Resistivity (DCR) method alone is often challenging because the resistivity signatures caused by disseminated material is hard to detect. On the other hand, the Time-domain Induced Polarization (TDIP) method is qualified to detect areas with disseminated sulfidic ores due to large electrode polarization effects which result in large chargeability anomalies. By employing both methods we gain information about both, the resistivity and the chargeability distribution of the subsurface.Here, we present the newly developed 2D smoothness constraint inversion algorithm for DCR and TDIP data. The implemented forward algorithm uses a Finite Element approach with an unstructured mesh. The model parameters resistivity and chargeability are connected by a conductivity perturbation approach. It is shown, that the resolution of chargeability anomalies is not strongly effected by the corresponding resistivity anomaly.As a case study, the 2D inversion results of DCR/TDIP and RMT data obtained during a survey on a sulfidic copper ore deposit in Turkey are presented.
000852672 7001_ $$0P:(DE-HGF)0$$aTezkan, Bülent$$b1
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000852672 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173971$$aForschungszentrum Jülich$$b0$$kFZJ
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