¿Cómo se puede explicar la estimación de recursos a las partes interesadas no técnicas?

In simple layman's terms resource estimation is a method of assigning a volume or tonnage of a certain suite of minerals contained in a certain geographic location. Terms like pre-resource, inferred, indicated and measured are based on the degree of data being gathered which are analyzed and reviewed by qualified technical personnel such as geologists, mining engineers and economists wherein the quality and confidence of the data and its interpretation increases to an acceptable degree of certainty, of which the "measured resource" is the most reliable.

I Do This: 1. Ore: Rocks/dirt with minerals inside, like diamonds or gold. 2. Grade: The rocks/dirt have different amounts of minerals inside, some more or less. We pick it based on volume or weight. 3. Cut-off: How we choose rocks/dirt we want with the most/best minerals, the easiest to get to with the best value, etc. 4. Resource Classification: Sorting the rocks/dirt into different types/groups. 5. Geostatistics: We map where all the best/valuable rocks/dirt MIGHT be. 6. Resources/Reserves: All the rocks/dirt with the best and worst amount of minerals (Inferred) Umm, maybe| (Indicated) Ohh Shi+| probably (Measured) Hell, yeah! 7. Codes/Standards: Rules and steps we must follow for gov./people to trust us to look for or remove minerals.

Software or Manually Ensure stakeholders know we work in hostile environments, harsh conditions, extreme climates, peculiar situations: soldier ants marching through, snakes (for lunch), a military militia borrowing medicine; a warlord pop up for coffee or mosquitos like helicopters. - Data Quality/Quantity: info collected on mineralized area - Drilling: a hole for rock samples - Sampling: small portion to test - Assaying: figuring out value - Geophysical Surveys: to know area with/out digging - Validation, Storage, Management: check/organize info ensure ready - Analysis Tools/Software: to count how much - Spatial Variability: different rocks/same area - Missing Values: Gaps; unknown info - Challenges/Limits: errors, misread; missing info

To construct a digital model of the layout of the minerals deposited in the ground. - Wireframing: Used in early stages to outline the general shape and boundaries. - Block Modeling: Give a more detailed understanding, divide the deposit into blocks to estimate the quantities and qualities. - Interpolation Methods: Connecting dots to fill in gaps between their data points to understand better what's underground. - Calibration, Testing, and Updating: Testing to make adjustments; to be more accurate; to ensure the model matches what we find. - Parameters/Variables: Sort of rules for features – how high the mountains are; how deep the valleys. - Graphs, Maps, Cross-sections: Colors illustrate how big, where, how good minerals are in ground.

That’s A Piece Of Lent Can start; things go great, then something happens, can't finish. It begin horrible, turns great, turn back terrible; we can't finish. - The Uncertainty: Making sure you are unsure - Measuring Uncertainty: To find specific spots, simulations (Variograms, understanding the layout | Confidence Intervals, shows how sure we are | Geostatistical Simulations help predict where) - Resource Classification: Sorting minerals into groups to find to extract - Classify Resources: as measured (Wow, it's there, I see it), indicated (Umm, there it is, look right there), or inferred (We see a little bit, oh that's a piece of lent) - Charts/Tables: Shows certainty vs. uncertainty in different places; builds confidence for estimates

Ex: Selling Gold Nuggets - Figuring out how much money selling them - Estimating Value-count how much money selling over time - To determine potential earnings (Cash Flow Analysis keeps track of daily earnings and expenses from selling | Net Present Value is figuring out the current value, considering time/interest | Internal Rate of Return to see how well it's selling; show over-talk - Resource Estimation Impact knowing how much; gold is influences its value in mining - Gold Prices/Costs Influence-market prices, expenses, risks, environmental impacts; define project's value - Scenarios/Sensitivity Exploration imagining price changes/mining costs to explore outcomes - Case Studies insights from similar projects; decision-makers