Recoverable Reserves Estimation - The Geostatistical Approach (2d979d85-65c8-454d-a0eb-69128ed47171)
- Organization:
- The American Institute of Mining, Metallurgical, and Petroleum Engineers
- Pages:
- 6
- File Size:
- 492 KB
- Publication Date:
- Jan 1, 1986
Abstract
Accurate prediction of recoverable reserves are key to the development and planning of a mining operation. Recovery functions for tonnage, quantity of metal, and ore grade are defined and two approaches for their estimation are proposed. The indicator kriging (IK) approach draws on the data rank orders, whereas the multigaussian (MG) approach relies on a grade multivariate distribution hypothesis. Although based on different premises, both approaches yield remarkably similar, and reasonably accurate, estimates for recoverable reserves.
Citation
APA: (1986) Recoverable Reserves Estimation - The Geostatistical Approach (2d979d85-65c8-454d-a0eb-69128ed47171)
MLA: Recoverable Reserves Estimation - The Geostatistical Approach (2d979d85-65c8-454d-a0eb-69128ed47171). The American Institute of Mining, Metallurgical, and Petroleum Engineers, 1986.