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A Ready Reckoner for Rapid Assessment of Mineable Mineral Reserves and Expedited Scrutiny of Mining Plans

In Kerala, more than 90% of quarries are engaged in granite (building stone) extraction. Often officials engaged in mineral administration as well as mine owners find it challenging to quickly estimate the mineable reserve of granite (building stone) in an applied area. Preliminary or quick estimation of granite (building stone) is necessary for processing applications for mineral concessions. It is the duty of the district geologist to report such estimates to the Director of Mining and Geology. This aids the Director in including the tentative validity of the lease in the Letter of Intent issued.

In the State of Kerala, mining plans for granite (building stone) and other minor minerals were introduced in 2015, and until then, no importance was given to correctly estimating the mineable mineral reserve. This has resulted in a loss of registration fees and stamp duty concerning the registration of leases. It has also led to the granting of leases for periods longer than they deserve. For instance, an individual with less than one hectare of land used to obtain a lease for 12 years.

In 2015, when mining plans were introduced in the state, there were only a few Recognized Qualified Persons (RQPs) available for the preparation of mining plans. Geologists new to mining plans found it challenging to understand the concept of bench mining and the computation of the volume of mineable and blocked reserves. Some RQPs, also new to mining plan preparation, submitted plans with exaggerated volumes. Mining plans with 10 lakhs metric tonnes of mineable reserve for one hectare area were observed. Upon noticing these exaggerated values, the then geologists were warned about them, and instructions were given to arrive at a tentative mineable reserve by averaging 3.2 lakhs tonnes per hectare, as mentioned in Form II for processing lease applications. This value of 3.2 lakhs per hectare was derived in 2017 by dividing the sum of the annual production of around 250 quarries by the sum of the lease area. It is worth noting that when this computation was made, the average lease area was approximately 2 hectares, and there were leases less than one hectare granted as per the erstwhile KMMC Rules 1967.

Now, the scenario has changed, and people are applying for quarrying leases for larger areas, some extending up to 15 hectares.

Frequently, RQPs express concerns that certain geologists may show hesitation in approving mining plans when the mineable quantity surpasses the average of 3.2 lakhs/ha outlined in Form II. Similarly, some geologists note instances where RQPs tend to be overly optimistic, recording an excess quantity in their submitted mining plans. Nevertheless, the unrealistic volume estimations may result in the following issues:

From the above table, it is evident that both overestimation and underestimation of mineable reserves come with their own drawbacks. Therefore, priority should be given to a realistic estimate of the mineable reserve. If a mining plan with inaccurate estimates gets approval, its impact extends beyond the mine owner. It poses challenges for all geologists responsible for regulating mine operations over the next 15 years. Properly regulating mining activities becomes difficult based on a flawed mining plan, and geologists may be held accountable for any financial losses incurred by the government due to the flawed plan. For a geologist, the most crucial aspect of a mining plan is the estimation. The estimation of mineral reserves should be accurate—neither overestimated nor underestimated, but just right.

Estimating mineable reserve- a ready reckoner

Since mining areas have varied size, shape and topography and since the mineable reserve is dependent on these factors, there is no easy way to assess the mineable without accurate survey and detailed bench-wise computation using cross sectional area method or other scientific methods. Even the result obtained through cross sectional area method varies from person to person depending on the expertise and experience. However the following guidelines, tables and graphs can  be refereed to get an estimate of the maximum mineable reserve for an area having different length and breadth ratio.

Assessment of topography of the land selected for quarrying

Influence of topography on mineable reserve is detailed in the previous paper and a recap of the same is given below:

·        Maximum mineable reserve occurs for a similar shaped quarry (with same area) when a full mound comes within a quarry that enables the quarry owner to do top slicing. However, it is difficult to meet such conditions in Kerala.

·        Second maximum mineable reserve occurs for a similar shaped quarry when the terrain is flat. Such quarries exists in Kerala but less in number.

·        In sloping terrain, the mineable reserve will be less than the flat terrain for a similar shaped quarry (with same area).

·        When the degree of slope increases, the mineable reserve decreases.

Assessment of shape and length-breadth ratio of the land proposed for operating a quarry

In Kerala, since the availability of the land for mining is scarce, often the quarry area will have an irregular shape. Sometimes the shape is so irregular that makes the quarrying area a feel that the land is not contiguous. As per Kerala Minor Mineral Concession Rules, a quarrying lease can be granted for a land that is contiguous and only if the length to breadth ratio is less than 4:1. The length breadth ratio has been fixed for a reason that, in a land with higher length to breadth ratio, the mineable reserve will be very less.

Let us examine how the mineable reserve vary with change in shape for the example of 1 ha given above

The following figure shows 1 ha area in different length to breadth ratios.

 


 Using Mine Planner tool, the mineable reserve was computed for a flat terrain for different ratios and the following two figures shows the result for length to breadth ratios of 1:1 and 4:1.

 




Similarly, the results of 2:1 and 3:1 have been computed for different areas and the results are depicted in the following table:


While computing the reserve following norms were adopted namely, Specific gravity of granite (building stone) = 2.5, Bench height and width = 5 m, Terrain = Flat and soil cover = Negligible, Minimum quarry floor width at UPL= 15 m

These values were mathematically interpolated to draw the graph of the mineable reserve for various length : breadth.



Result of the analysis

Given same topographic setting, the quantity of mineable reserve changes drastically with length: breadth ratio. The data for area from 1 ha to 20 ha is summarized below:


From the above data, several conclusions can be drawn.

·        The table highlights a reduction of 33 to 44 percent in mineable reserves for areas with a length-to-breadth ratio of 1:1 to 4:1. The rate of reduction is more pronounced in smaller areas compared to larger ones.

·        There is an approximately threefold increase in mineable quantity when the area is doubled.

·        The relationship between the mining area and the quantity of mineable mineral reserves is not linear. The quantity does not increase uniformly with the increase in the area. For example, if the mineable reserve is 3.03 lakhs for one hectare, it is not 6.06 for two hectares, and it is not 9.18 for three hectares, and so on.

Important Takeaways:

·        Computation of mineable mineral reserves is crucial in mineral administration.

·        Mineable mineral reserves depend on guidelines issued for mining plan preparation. In the context of granite (building stone) mining, the mineable reserve primarily relies on the topography, size, and shape of the land where mining is proposed. The mining plan approving authority should consider all these factors.

·        The existing method of computing mineable reserves based on dGPS survey and the cross-sectional area method is less accurate than the latest techniques like Drone-based LIDAR survey.

·        Results from the standard cross-sectional area method used for present-day computations will be more accurate when bench-wise computations are performed. The general computation method of multiplying the cross-sectional area of the quarry with influence yields more reserve than the actual mineable reserve.

·        There will be a change in mineable quantities computed by two RQPs provided the same survey data is issued to them. This means there is a percentage margin for the computed quantity.

·        The relationship between the mining area and the quantity of mineable mineral reserves is not linear.

It is important to note that the graphs and associated values provided in this paper should be considered as reference values and not as real estimates. The purpose of presenting the graphs is to make the mining plan approving authority aware that the mineable reserve of the area under consideration for a sloping area shall always be less than the value computed for a similar area in flat land. The graphs provided in this paper may be used only as a ready reckoner to quickly check whether the estimate is acceptable or not.

Annexure: Granite (building stone) mineable mineral reserve estimation chart














Author: Biju Sebastian

Caution:

The data provided in this paper is for regular shaped quarry and not for the usual irregular shaped quarry and hence these data should be used with utmost care. The information provided is only for making general awareness on assessment of mineable mineral reserve in the context of granite (building stone) mines in Kerala. As mentioned in this paper the mineable reserve depends on topography, size and shape of quarry and no two quarries have same topography or size or shape. 

Disclaimer:

The information on this website is provided "as is" and "without warranty." In terms of how this information is used or the results of its usage, the author disclaims all liability.

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