Statistical analysis of geological faults for characterizing mineral deposits

Orietta Nicolis

doi:10.1016/B978-0-323-85617-1.00021-7

Statistical analysis of geological faults for characterizing mineral deposits

Orietta Nicolis

Producción científica: Contribución a los tipos de informe/libro › Capítulo › revisión exhaustiva

2 Citas (Scopus)

Resumen

The aim of this work is to estimate the fractal dimension in fault images of two regions of Chile. Since these regions are rich with metal deposits, we think the fractal dimension could help to characterize them. The well-known box counting method has been used for estimating the fractality in small areas with dimensions of 10×20 km in the north of Chile.

Idioma original	Inglés
Título de la publicación alojada	Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology
Editorial	Elsevier
Páginas	285-293
Número de páginas	9
ISBN (versión digital)	9780323856171
DOI	https://doi.org/10.1016/B978-0-323-85617-1.00021-7
Estado	Publicada - 1 ene. 2021

Áreas temáticas de ASJC Scopus

Economía, econometría y finanzas (todo)
Administración de Empresas y Contabilidad General

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10.1016/B978-0-323-85617-1.00021-7

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title = "Statistical analysis of geological faults for characterizing mineral deposits",

abstract = "The aim of this work is to estimate the fractal dimension in fault images of two regions of Chile. Since these regions are rich with metal deposits, we think the fractal dimension could help to characterize them. The well-known box counting method has been used for estimating the fractality in small areas with dimensions of 10×20 km in the north of Chile.",

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KW - Fault images

KW - Fractal dimension

KW - Mineral deposit

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BT - Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology

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Statistical analysis of geological faults for characterizing mineral deposits

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