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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology
Publisher	Elsevier
Pages	285-293
Number of pages	9
ISBN (Electronic)	9780323856171
DOIs	https://doi.org/10.1016/B978-0-323-85617-1.00021-7
Publication status	Published - 1 Jan 2021

Keywords

Box counting method
Fault images
Fractal dimension
Mineral deposit

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)
General Business,Management and Accounting

Access to Document

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

Cite this

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

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ER -

Statistical analysis of geological faults for characterizing mineral deposits

Abstract

Keywords

ASJC Scopus subject areas

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