Cause-Effect Analysis in Assessment of Mineral Resources |
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Authors: | Sirotinskaya Susanna V |
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Institution: | (1) Laboratory of Geological Modelling, Federal University of the State of Rio Grande do Sul, Avenida Osvaldo Aranha 99, Porto Alegre, RS, Brazil, 90035-190 |
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Abstract: | Cause-effect analyses is a deterministic methodology intended for processing qualitative (e.g. texts, conventional maps) and mixed, qualitative and quantitative, data. The main idea, employed in cause-effect analysis, is the plurality and interaction of causes. This idea is described by mathematical logic formulae that can be converted into a single Boolean equation. The latter represents a mathematical model of a general shape of cause-effect relations for the study problem. In particular, such a model can express relations between some property of the mineralization and features of other geological phenomena. By processing data, logical dependencies satisfying to the theoretical model are determined in a data file. These dependences, expressed by Boolean function formulae, describe cause-effect relations for a case study, and they are used for predicting. Software realizing the cause-effect analysis is an expert system with artificial intelligence capabilities. There are two methods of using the cause-effect analysis in assessment of mineral resources. The first method consists in detecting the regularity in locations of known mineral deposits and occurrences with the following using the regularity formula for generation of predictive maps. The second method is the evaluation of individual mineral occurrences by obtained Boolean formulae expressing cause-effect relations between deposit sizes and geological environment of deposits. Both methods are illustrated by case studies of predicting gold-bearing deposits of Middle Asia in the former USSR. |
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Keywords: | Cause-effect relation mathematical logic mineral-potential modeling favorability map mineral occurrence evaluation gold mineralization |
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