Block size and shape play a crucial role in resource estimation within the mining industry. Several factors influence the determination of block size and shape, impacting the accuracy and reliability of resource assessments. Here are key factors that influence block size and shape in resource estimation:

Geological Variability:

The geological variability of the deposit has a significant impact on block size and shape. Heterogeneous geological structures may require smaller block sizes to capture variations in mineralisation accurately.

Deposit Geometry:

The overall shape and geometry of the mineral deposit influence block dimensions. Irregularly shaped deposits may necessitate adjustments to block size and shape to accurately represent the orebody’s contours.

Drill Hole Spacing and Density:

The density and spacing of drill holes used for sampling directly affect the level of detail and confidence in the geological model. Higher drill hole density may allow for the use of larger block sizes, while sparse data may require smaller blocks for better representation.

Data Quality and Confidence:

The quality and confidence level of the data collected from exploration and drilling activities are critical. More reliable and high-confidence data may permit the use of larger block sizes, while lower confidence data may necessitate smaller, more conservative block dimensions.

Estimation Methodology:

The chosen estimation methodology, whether it’s inverse distance weighting, kriging, or another geostatistical method, can impact block size. Some methods may be better suited to capturing variability and trends in certain geological settings.

Mining Methodology:

The planned mining method, such as open-pit or underground mining, can influence block size. For instance, open-pit mining may use larger block sizes to optimise economic considerations, while underground mining may require smaller blocks for more precise planning.

Economic Considerations:

Economic factors, including commodity prices, extraction costs, and processing costs, can influence the determination of block size. The economic viability of mining a specific block may impact the decision to use larger or smaller blocks.

Statistical Considerations:

Statistical considerations, such as variogram analysis and the determination of spatial continuity, influence the choice of block size and shape. Variability in mineral grades and the spatial correlation of data guide the selection of appropriate block dimensions.

Regulatory Requirements:

Regulatory requirements may dictate specific criteria for resource estimation, including block size and shape. Compliance with regulatory standards is essential for obtaining permits and approvals for mining operations.

Mining Recovery and Dilution:

The expected mining recovery and dilution factors should be considered. Smaller blocks may better account for potential mining losses and dilution, providing a more accurate representation of recoverable resources.

Software and Technology:

The software and technology used for resource estimation play a role in determining block size. Advanced modeling and estimation tools may offer more flexibility in adapting block dimensions to geological complexities.

Scale of Mining Operation:

The scale of the mining operation, whether it’s a small-scale operation or a large-scale mining project, can influence the determination of block size. Larger operations may benefit from economies of scale and larger block sizes.

It’s important to note that the choice of block size and shape is often a balance between capturing geological complexity and ensuring practicality for mining operations. A detailed understanding of the geological setting, coupled with rigorous data analysis and modeling techniques, is essential for making informed decisions about block dimensions in resource estimation.