Résumé.
Le présent article porte sur l'utilisation de la géostatistique dans le cadre de l'estimation des réserves du bassin de lignite d'Afsin-Elbistan. Comportant 3,4 milliards de tonnes de réserves de lignite, le bassin de lignite d'Afsin-Elbistan, est le plus important de Turquie. Il constitue la moitié des réserves totales de lignite de la Turquie. La production de lignite sert à alimenter une centrale thermique. L'objet de cette étude est l'évaluation statistique et géostatistique (mono et multivariable) de la qualité des réserves de lignite sur un nouveau projet d'exploitation "Çöllolar (secteur B)" compris dans le bassin d'Afsin-Elbistan en relation avec les besoins de la centrale thermique.
Abstract
Over the last 30 years the mining industry has made increasing use of geostatistical techniques. The economic crisis in mining, in particular in the coal industry, has led to increased attention to cost factors, requiring more precision and care in reserve calculation and subsequent extraction. Geostatistical methods allow the quantity and the quality of mineable resources to be estimated with improved precision. In this case study the objective is the evaluation of the quality of lignite in the new mining project "Çöllolar (sector B)'' in Afsin-Elbistan (Turkey). Coal quality is assessed from multiple parameters that vary in geographical space. The methodology is thus based on multivariate statistical techniques such as Principal Component Analysis as well as on multivariate spatial statistics using variograms and cokriging. The results give a contrasting picture of the reserves situation in sector B of Çöllolar. A special study on parameter T/C (sterile thickness/lignite thickness) was undertaken to show which part of the resources could be extracted. Details of exploitation strategies are discussed.
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Özer, Ü., Thénevin, I., Wackernagel, H. et al. Etude géostatistique multivariable de la qualité du lignite d'Afsin-Elbistan, projet de Çöllolar (Turquie). Bull Eng Geol Environ 60, 241–251 (2001). https://doi.org/10.1007/s100640100099
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DOI: https://doi.org/10.1007/s100640100099