Computational Cut-Off Grade Modeling: A Review

Abstract

An entry into the mining profession is associated with many sectors that affect the environment, economy, and livelihood. Here, we have concentrated on the ore grade obtained from the extraction of the mining region. These ore-grade materials have limited on the mining region. Still, demand increases day by dayalso affects the ore-grade level of materials as the supply situation. So, we have reviewed computationalbased research on cut-off grade modeling techniques. We have to know the grade reserver boundary range defined levels of obtained grade qualities. Eventually, the conventional method has been done complex, and this worked very tediously. Many experts have done soft computing techniques over cut-off grade modeling using ordinary kriging, nearest neighbor, and inverse distance. Here, we have reviewed these techniques on three-parameter values like assay, collar, and grade value on the leading role for cutoff grade modeling. Also, the estimated reserved is represented as a graphical for open-pit models like borehole, section model, surface model, block model, etc., and computed results. Therefore, this review paper has expressed an interest in cut-off grade monitoring and emphasized advanced performance-based soft computing techniques for the future perspective.