UPSC MainsGEOLOGY-PAPER-II201810 Marks
Q19.

Calculate the average grade (wt.% Mo) of the vein.

How to Approach

This question requires a quantitative calculation based on provided data (which is missing from the question itself). A complete answer *cannot* be provided without the data regarding the vein's composition and the weights of different samples taken from it. However, I will provide a framework for *how* to approach such a calculation, outlining the steps and formulas involved. The answer will assume hypothetical data for illustrative purposes. The focus will be on demonstrating the methodology expected in a Geology paper.

Model Answer

0 min read

Introduction

Molybdenum (Mo) is a crucial refractory metal widely used in alloy steels to enhance strength, toughness, and corrosion resistance. It is also employed in catalysts, lubricants, and electrical contacts. Economic molybdenum deposits are typically found in porphyry copper deposits, skarns, and vein-type deposits. Calculating the average grade of a vein is a fundamental task in economic geology, essential for resource estimation and mine planning. This involves analyzing samples collected from the vein and applying appropriate statistical methods to determine the overall concentration of the target element, in this case, molybdenum, expressed as weight percentage (wt.%).

Calculating Average Grade of a Vein

The average grade of a vein is determined by analyzing multiple samples collected across its width and length. The calculation involves determining the weight percentage of molybdenum in each sample and then averaging these percentages, weighted by the sample size (if samples are of different sizes). Without the actual data, we will illustrate with a hypothetical example.

1. Data Collection and Sample Preparation

The first step involves collecting representative samples from the vein. Samples should be taken across the entire width and length of the vein to account for any variations in mineralization. These samples are then prepared for analysis, typically involving crushing, grinding, and chemical digestion to dissolve the ore minerals.

2. Analytical Techniques

Several analytical techniques can be used to determine the molybdenum content in the samples. Common methods include:

  • Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES): A widely used technique for multi-element analysis, providing accurate and precise measurements of molybdenum concentration.
  • Inductively Coupled Plasma Mass Spectrometry (ICP-MS): Offers even higher sensitivity and is suitable for trace element analysis.
  • X-Ray Fluorescence (XRF): A non-destructive technique that can provide rapid analysis of major and trace elements.

3. Calculation of Molybdenum Grade (wt.%)

Let's assume we have collected five samples from the vein, and the analytical results are as follows (hypothetical data):

Sample ID Sample Weight (g) Weight of Mo (g) Mo Grade (wt.%)
S1 100 0.5 0.5
S2 150 0.9 0.6
S3 80 0.4 0.5
S4 120 0.7 0.583
S5 90 0.45 0.5

The Mo grade (wt.%) for each sample is calculated as: Mo Grade (%) = (Weight of Mo (g) / Sample Weight (g)) * 100

4. Calculating the Weighted Average Grade

To calculate the average grade of the vein, we need to consider the weight of each sample. The weighted average grade is calculated as follows:

Average Grade (wt.%) = Σ (Sample Weight * Mo Grade) / Σ Sample Weight

Using the hypothetical data above:

Average Grade = [(100 * 0.5) + (150 * 0.6) + (80 * 0.5) + (120 * 0.583) + (90 * 0.5)] / (100 + 150 + 80 + 120 + 90)

Average Grade = [50 + 90 + 40 + 69.96 + 45] / 540

Average Grade = 294.96 / 540

Average Grade = 0.546 wt.% Mo

5. Statistical Considerations

In real-world scenarios, it's crucial to consider statistical measures like standard deviation and confidence intervals to assess the reliability of the average grade. Geostatistical methods, such as kriging, are often employed to estimate the grade distribution within the vein and account for spatial variability.

Conclusion

Calculating the average grade of a vein is a critical step in evaluating its economic potential. The process involves careful sample collection, accurate analytical measurements, and appropriate statistical calculations. The weighted average grade, as demonstrated with the hypothetical data, provides a representative estimate of the molybdenum concentration within the vein. Further exploration and detailed geostatistical modeling are essential for a comprehensive resource assessment.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

Grade (Ore)
The concentration of a valuable mineral within an ore deposit, typically expressed as a percentage (wt.%), parts per million (ppm), or grams per tonne (g/t).
Porphyry Deposit
A large, low-grade ore deposit formed around a shallow intrusive igneous rock (porphyry), often associated with copper, molybdenum, and gold mineralization.

Key Statistics

Global molybdenum reserves were estimated at around 10 million tonnes in 2022, with the largest reserves located in the United States, China, and Chile.

Source: US Geological Survey, Mineral Commodity Summaries 2023 (Knowledge Cutoff: Jan 2023)

China is the world's largest consumer of molybdenum, accounting for approximately 40% of global demand as of 2021.

Source: Roskill, Molybdenum Market Outlook 2022 (Knowledge Cutoff: Jan 2023)

Examples

Henderson Mine, Colorado

The Henderson Mine in Colorado, USA, is one of the world's largest molybdenum mines. It is a porphyry molybdenum deposit, and the ore is processed to produce molybdenum concentrates.

Frequently Asked Questions

What factors can affect the accuracy of the average grade calculation?

Sampling bias, analytical errors, and the heterogeneity of the ore deposit can all affect the accuracy of the average grade calculation. Proper sampling techniques, quality control measures, and geostatistical modeling are essential to minimize these errors.

Topics Covered

GeologyEconomic GeologyOre Reserve EstimationGrade ControlMining