MICROBIAL STUDY OF THE MARINE SHORE PORPHYRY COPPER TAILINGS DEPOSIT BAHIA DE ITE, PERU

2006 ◽  
Vol 2006 (2) ◽  
pp. 493-497
Author(s):  
Nouhou Diaby ◽  
Bernhard Dold ◽  
Christof Holliger ◽  
Rodolfo Vicetti ◽  
Ezio Buselli
Keyword(s):  
Porphyry Copper ◽  
Copper Tailings ◽  
Microbial Study

Microbial communities in a porphyry copper tailings impoundment and their impact on the geochemical dynamics of the mine waste

2007 ◽  
Vol 9 (2) ◽  
pp. 298-307 ◽  
Author(s):  
Nouhou Diaby ◽  
Bernhard Dold ◽  
Hans-Rudolf Pfeifer ◽  
Christof Holliger ◽  
D. Barrie Johnson ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Mine Waste ◽  
Porphyry Copper ◽  
Copper Tailings ◽  
Tailings Impoundment

Low Molecular Weight Carboxylic Acids in Oxidizing Porphyry Copper Tailings

2005 ◽  
Vol 39 (8) ◽  
pp. 2515-2521 ◽  
Author(s):  
Bernhard Dold ◽  
David W. Blowes ◽  
Ralph Dickhout ◽  
Jorge E. Spangenberg ◽  
Hans-Rudolf Pfeifer
Keyword(s):  
Molecular Weight ◽  
Carboxylic Acids ◽  
Porphyry Copper ◽  
Low Molecular Weight ◽  
Copper Tailings

Element cycling during the transition from alkaline to acidic environment in an active porphyry copper tailings impoundment, Chuquicamata, Chile

2014 ◽  
Vol 140 ◽  
pp. 23-40 ◽  
Author(s):  
Jochen Smuda ◽  
Bernhard Dold ◽  
Jorge E. Spangenberg ◽  
Kurt Friese ◽  
Max R. Kobek ◽  
...  
Keyword(s):  
Porphyry Copper ◽  
Acidic Environment ◽  
Element Cycling ◽  
Copper Tailings ◽  
Tailings Impoundment

An Augmented Iteratively Re-weighted and Refined Least Squares Method for lp Minimization Problem in Inverse Modeling of Potential Field Magnetic Data

2020 ◽  
Vol 1 (3) ◽  
Author(s):  
Maysam Abedi
Keyword(s):  
Magnetic Field ◽  
Magnetic Susceptibility ◽  
Least Squares ◽  
Minimization Problem ◽  
Potential Field ◽  
Field Data ◽  
Least Squares Method ◽  
Porphyry Copper ◽  
Magnetic Data ◽  
Magnetic Field Data

The presented work examines application of an Augmented Iteratively Re-weighted and Refined Least Squares method (AIRRLS) to construct a 3D magnetic susceptibility property from potential field magnetic anomalies. This algorithm replaces an lp minimization problem by a sequence of weighted linear systems in which the retrieved magnetic susceptibility model is successively converged to an optimum solution, while the regularization parameter is the stopping iteration numbers. To avoid the natural tendency of causative magnetic sources to concentrate at shallow depth, a prior depth weighting function is incorporated in the original formulation of the objective function. The speed of lp minimization problem is increased by inserting a pre-conditioner conjugate gradient method (PCCG) to solve the central system of equation in cases of large scale magnetic field data. It is assumed that there is no remanent magnetization since this study focuses on inversion of a geological structure with low magnetic susceptibility property. The method is applied on a multi-source noise-corrupted synthetic magnetic field data to demonstrate its suitability for 3D inversion, and then is applied to a real data pertaining to a geologically plausible porphyry copper unit.  The real case study located in  Semnan province of  Iran  consists  of  an arc-shaped  porphyry  andesite  covered  by  sedimentary  units  which  may  have  potential  of  mineral  occurrences, especially  porphyry copper. It is demonstrated that such structure extends down at depth, and consequently exploratory drilling is highly recommended for acquiring more pieces of information about its potential for ore-bearing mineralization.

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