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PROMETHEE II: A knowledge-driven method for copper exploration

This paper describes the application of a well-known Multi Criteria Decision Making (MCDM) technique called Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE II) to explore porphyry copper deposits. Various raster-based evidential layers involving geological, geophysical, a... Full description

Journal Title: Computers and Geosciences September 2012, Vol.46, pp.255-263
Main Author: Abedi, Maysam
Other Authors: Ali Torabi, S , Norouzi, Gholam-Hossain , Hamzeh, Mohammad , Elyasi, Gholam-Reza
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0098-3004 ; E-ISSN: 1873-7803 ; DOI: 10.1016/j.cageo.2011.12.012
Link: https://www.sciencedirect.com/science/article/pii/S0098300411004365
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recordid: elsevier_sdoi_10_1016_j_cageo_2011_12_012
title: PROMETHEE II: A knowledge-driven method for copper exploration
format: Article
creator:
  • Abedi, Maysam
  • Ali Torabi, S
  • Norouzi, Gholam-Hossain
  • Hamzeh, Mohammad
  • Elyasi, Gholam-Reza
subjects:
  • Knowledge-Driven Method
  • Mineral Prospectivity Mapping
  • Various Geo-Datasets
  • Promethee II
  • Porphyry Copper
  • Now Chun Deposit
  • Geology
ispartof: Computers and Geosciences, September 2012, Vol.46, pp.255-263
description: This paper describes the application of a well-known Multi Criteria Decision Making (MCDM) technique called Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE II) to explore porphyry copper deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-datasets are integrated to prepare a mineral prospectivity mapping (MPM). In a case study, thirteen layers of the Now Chun copper deposit located in the Kerman province of Iran are used to explore the region of interest. The PROMETHEE II technique is applied to produce the desired MPM, and the outputs are validated using twenty-one boreholes that have been classified into five classes. This proposed method shows a high performance when providing the MPM while reducing the cost of exploratory drilling in the study area. ► A new knowledge-driven approach is proposed. ► Different geo-datasets are used. ► Porphyry copper deposit prospectivity map shows acceptable results. ► This approach can be applied for various evidential layers.
language: eng
source:
identifier: ISSN: 0098-3004 ; E-ISSN: 1873-7803 ; DOI: 10.1016/j.cageo.2011.12.012
fulltext: fulltext
issn:
  • 0098-3004
  • 00983004
  • 1873-7803
  • 18737803
url: Link


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subjectKnowledge-Driven Method ; Mineral Prospectivity Mapping ; Various Geo-Datasets ; Promethee II ; Porphyry Copper ; Now Chun Deposit ; Geology
descriptionThis paper describes the application of a well-known Multi Criteria Decision Making (MCDM) technique called Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE II) to explore porphyry copper deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-datasets are integrated to prepare a mineral prospectivity mapping (MPM). In a case study, thirteen layers of the Now Chun copper deposit located in the Kerman province of Iran are used to explore the region of interest. The PROMETHEE II technique is applied to produce the desired MPM, and the outputs are validated using twenty-one boreholes that have been classified into five classes. This proposed method shows a high performance when providing the MPM while reducing the cost of exploratory drilling in the study area. ► A new knowledge-driven approach is proposed. ► Different geo-datasets are used. ► Porphyry copper deposit prospectivity map shows acceptable results. ► This approach can be applied for various evidential layers.
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This paper describes the application of a well-known Multi Criteria Decision Making (MCDM) technique called Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE II) to explore porphyry copper deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-datasets are integrated to prepare a mineral prospectivity mapping (MPM). In a case study, thirteen layers of the Now Chun copper deposit located in the Kerman province of Iran are used to explore the region of interest. The PROMETHEE II technique is applied to produce the desired MPM, and the outputs are validated using twenty-one boreholes that have been classified into five classes. This proposed method shows a high performance when providing the MPM while reducing the cost of exploratory drilling in the study area.

► A new knowledge-driven approach is proposed. ► Different geo-datasets are used. ► Porphyry copper deposit prospectivity map shows acceptable results. ► This approach can be applied for various evidential layers.

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abstract

This paper describes the application of a well-known Multi Criteria Decision Making (MCDM) technique called Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE II) to explore porphyry copper deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-datasets are integrated to prepare a mineral prospectivity mapping (MPM). In a case study, thirteen layers of the Now Chun copper deposit located in the Kerman province of Iran are used to explore the region of interest. The PROMETHEE II technique is applied to produce the desired MPM, and the outputs are validated using twenty-one boreholes that have been classified into five classes. This proposed method shows a high performance when providing the MPM while reducing the cost of exploratory drilling in the study area.

► A new knowledge-driven approach is proposed. ► Different geo-datasets are used. ► Porphyry copper deposit prospectivity map shows acceptable results. ► This approach can be applied for various evidential layers.

pubElsevier Ltd
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issueC
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