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Breccia Pipe Estimation: a new approach using non-stationary covariances

Abstract : The El Teniente mine is famous not only as one of the largest known porphyry-copper ore bodies but also, among geologists, for its typical breccia pipe named “Braden”, an almost vertical poorly mineralized cone, located at the center of the mine and surrounded by early-stage mineralizations. As the edge of the pipe constitutes the limit of the deposit and of the mining operation, estimating it accurately is important. In this paper, we are interested in estimation of the elevation of the pipe surface using a geostatistical approach based on non-stationary covariances. Previous approaches have been applied on this dataset by Séguret and Celhay (2013). The proposed estimation method offers an integrated treatment of all aspects of non-stationarity (mean, variance, spatial continuity) in the modelling process. The proposed method has revealed an increased prediction accuracy when compared to standard stationary method, and demonstrated the ability to extract the underlying non-stationarity from a single realization. A comparison of predictions and prediction standard deviations maps indicates that the proposed non-stationary method captures some varying spatial features (such as locally varying anisotropy) in the data that are not present using the stationary method, the outcome appears more realistic.
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Contributor : Serge Antoine Séguret Connect in order to contact the contributor
Submitted on : Wednesday, September 30, 2015 - 4:26:11 PM
Last modification on : Monday, June 27, 2022 - 3:02:32 AM
Long-term archiving on: : Thursday, December 31, 2015 - 10:41:55 AM


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  • HAL Id : hal-01207365, version 1


Francky Fouedjio, Serge Antoine Séguret. Breccia Pipe Estimation: a new approach using non-stationary covariances. 17th IAMG congress, Mathematical Geosciences, Sep 2015, FreibErg, Germany. ⟨hal-01207365⟩



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