Curvature Attribute from Surface-Restoration as Predictor Variable in Kupferschiefer Copper Potentials
An Example from the Fore-Sudetic Region
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| 024 | 7 | 0 | |a 10.1007/s11053-014-9247-7 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11053-014-9247-7 | ||
| 245 | 0 | 0 | |a Curvature Attribute from Surface-Restoration as Predictor Variable in Kupferschiefer Copper Potentials |h [Elektronische Daten] |b An Example from the Fore-Sudetic Region |c [Pablo Mejía-Herrera, Jean-Jacques Royer, Guillaume Caumon, Alain Cheilletz] |
| 520 | 3 | |a This work explains a procedure to predict Cu potentials in the ore-Kupferschiefer using structural surface-restoration and logistic regression (LR) analysis. The predictor in the assessments are established from the restored horizon that contains the ore-series. Applying flexural-slip to unfold/unfault the 3D model of the Fore-Sudetic Monocline, we obtained curvature for each restored time. We found that curvature represents one of the main structural features related to the Cu mineralization. Maximum curvature corresponds to high internal deformation in the restored layers, evidencing faulting and damaged areas in the 3D model. Thus, curvature may highlight fault systems that drove fluid circulation from the basement and host the early mineralization stages. In the Cu potential modeling, curvature, distance to the Fore-Sudetic Block and depth of restored Zechstein at Cretaceous time are used as predictors and proven Cu-potential areas as targets. Then, we applied LR analysis establishing the separating function between mineralized and non-mineralized locations. The LR models show positive correspondence between predicted probabilities of Cu-potentials and curvature estimated on the surface depicting the mineralized layer. Nevertheless, predicted probabilities are particularly higher using curvatures obtained from Late Paleozoic and Late Triassic restorations. | |
| 540 | |a International Association for Mathematical Geosciences, 2014 | ||
| 690 | 7 | |a Structural restoration |2 nationallicence | |
| 690 | 7 | |a Fault system |2 nationallicence | |
| 690 | 7 | |a Fault activity |2 nationallicence | |
| 690 | 7 | |a Logistic regression |2 nationallicence | |
| 690 | 7 | |a Predictive modeling |2 nationallicence | |
| 700 | 1 | |a Mejía-Herrera |D Pablo |u Université de Lorraine-ENSG, CNRS-CREGU, Géoressources, UMR 7359, 2 rue du doyen Marcel Roubault, TSA 70605, 54518, Vandoeuvre-lès-Nancy Cedex, France |4 aut | |
| 700 | 1 | |a Royer |D Jean-Jacques |u Université de Lorraine-ENSG, CNRS-CREGU, Géoressources, UMR 7359, 2 rue du doyen Marcel Roubault, TSA 70605, 54518, Vandoeuvre-lès-Nancy Cedex, France |4 aut | |
| 700 | 1 | |a Caumon |D Guillaume |u Université de Lorraine-ENSG, CNRS-CREGU, Géoressources, UMR 7359, 2 rue du doyen Marcel Roubault, TSA 70605, 54518, Vandoeuvre-lès-Nancy Cedex, France |4 aut | |
| 700 | 1 | |a Cheilletz |D Alain |u Université de Lorraine-ENSG, CNRS-CREGU, Géoressources, UMR 7359, 2 rue du doyen Marcel Roubault, TSA 70605, 54518, Vandoeuvre-lès-Nancy Cedex, France |4 aut | |
| 773 | 0 | |t Natural Resources Research |d Springer US; http://www.springer-ny.com |g 24/3(2015-09-01), 275-290 |x 1520-7439 |q 24:3<275 |1 2015 |2 24 |o 11053 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11053-014-9247-7 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11053-014-9247-7 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Mejía-Herrera |D Pablo |u Université de Lorraine-ENSG, CNRS-CREGU, Géoressources, UMR 7359, 2 rue du doyen Marcel Roubault, TSA 70605, 54518, Vandoeuvre-lès-Nancy Cedex, France |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Royer |D Jean-Jacques |u Université de Lorraine-ENSG, CNRS-CREGU, Géoressources, UMR 7359, 2 rue du doyen Marcel Roubault, TSA 70605, 54518, Vandoeuvre-lès-Nancy Cedex, France |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Caumon |D Guillaume |u Université de Lorraine-ENSG, CNRS-CREGU, Géoressources, UMR 7359, 2 rue du doyen Marcel Roubault, TSA 70605, 54518, Vandoeuvre-lès-Nancy Cedex, France |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Cheilletz |D Alain |u Université de Lorraine-ENSG, CNRS-CREGU, Géoressources, UMR 7359, 2 rue du doyen Marcel Roubault, TSA 70605, 54518, Vandoeuvre-lès-Nancy Cedex, France |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Natural Resources Research |d Springer US; http://www.springer-ny.com |g 24/3(2015-09-01), 275-290 |x 1520-7439 |q 24:3<275 |1 2015 |2 24 |o 11053 | ||