id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
gc-929	Song, Yu-Chen; Liu, Zhan-Ning; Meng, Hai-Dong; Yu, Xiao-Yan	Multi-point geostatistics for ore grade estimation	2019	16	.pdf	application/pdf	10354	564	64	A multi-point geostatistical simulation based on the reservoir skeleton (SMPS) used the shape, type, and scale of the target body Multi-point geostatistics for ore grade estimation Yu-Chen Song1, Zhan-Ning Liu1, Hai-Dong Meng1 and Xiao-Yan Yu1 1 Inner Mongolia University of Science and Technology, Institute of Mining Engineering, Baotou 014010, P.R. China; (songyuchen@imust.edu.cn; 494570031@qq.com; haidongm@imust.edu.cn; 421351047@qq.com) doi: 10.4154/gc.2019.23 Abstract A multi-point geostatistical method for ore grade estimation is introduced in order to fully utilize existing sampling information. This study proves the reliability and accuracy of the multi- point geostatistical method for ore grade estimation.	cache/gc-929.pdf	txt/gc-929.txt