Mineralogy Recognition from In-Situ Elemental Concentration Log Data Using Factor Analysis

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Abstract

Understanding log response in crystalline rocks is one of the major challenges encountered by geoscientists in general, and well-log analysts in particular. Owing to the persistence of metamorphism process, log interpretation in crystalline rocks appears to be a challenging task. In this context, the present study is focused on reporting the results drawn from the interpretation of elemental concentration log data. For an effective elemental concentration interpretation to take place, an appeal is made to the factor analysis method. Hence, constructing a model whereby elemental concentrations could be associated with mineral abundances is investigated and discussed. The reached results appear to reveal that the elemental concentration logs turn out to provide enough information useful for an accurate lithological description of crystalline rocks to take place, especially with regard to UHPM rocks.

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Konaté, A. A., Pan, H., Khan, N., Keita, O., Cissé, M., Kourouma, M., & Keita, D. (2019). Mineralogy Recognition from In-Situ Elemental Concentration Log Data Using Factor Analysis. In Advances in Science, Technology and Innovation (pp. 171–173). Springer Nature. https://doi.org/10.1007/978-3-030-01575-6_41

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