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- Title
3D Metallogenic Prediction Research based on GFH Analysis Method.
- Authors
Song Huang; Yuling Xie; Huaming An
- Abstract
In this paper, we systematically developed a three-dimensional quantitative metallogenic prognosis system for concealed ore bodies based on spatial data mining. We collected detailed geology information and constructed a multiple-source geology database. Based on the geology database, major ore-controlling factors were defined using correlation analysis between current mineralized ore bodies and all related geology information, which included strata, faults, mineralization, mineral density, geophysics, geochemistry, etc. The new Grey-Fuzzy-Hierarchy (GFH) analysis method, a typical combined method including Grey relational, Fuzzy comprehensive evaluation and Hierarchy analytic process theories, was applied for the determination of the corresponding weights for all major ore-controlling factors. Finally, mineralization advantage degree (MAD) values were obtained and the three potential mineralization target areas were determined. Related high MAD value blocks were visually displayed and reported as the guide of future exploration strategy. The research achievements can also be used as a reference for further research on 3D metallogenic prediction fields.
- Subjects
ANALYTIC hierarchy process; ANALYTIC network process; GEOLOGY; GEOPHYSICS; STATISTICAL correlation; GEOPHYSICAL prediction; DATA mining
- Publication
IAENG International Journal of Computer Science, 2019, Vol 46, Issue 4, p1
- ISSN
1819-656X
- Publication type
Article