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Kriging

Author(s): 
Marek Nowak, Oy Leuangthong
Category: 
Geology

Mineral resource estimation has long been plagued with the inherent challenge of conditional bias. Estimation requires the specification of a number of parameters such as block model block size, minimum and maximum number of data used to estimate a block, and search ellipsoid radii. The choice Read more... about Conditional Bias in Kriging – Let’s Keep It

Author(s): 
Danny Kentwell, Dave Finn
Category: 
Geology
 
Experience has shown that the E-Type multiple indicator kriging (MIK) estimation technique often works well for resource estimation in stockwork mineralisation that contains a mixture of high and low-grade mineralisation types that are difficult or impossible to separate
Author(s): 
S. Mandava, R.C.A. Minnitt, Mark Wanless
Category: 
Geology

Mineral Resource estimation provides an assessment of the quantity, quality, shape and grade distribution of a mineralised deposit. The resource estimation process involves; the assessment of data available, creation of geological and/or grade models for the deposit, statistical and Read more... about Improved Grade Estimation Using Optimal Dynamic Anistrophy Resolution

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