The weakest link will be the model you use to estimate your loss distribution, not the allocation details.
How are you going to estimate the loss distribution?
As a general rule: you typically cannot have higher returns without higher risk when optimizing your portfolio.
I want to invest an amount I am willing to lose but don't know how to derive this. Because VAR puts a limit to your losses at a given Confidence interval, I wanted the two to be linked.
Yes, that makes sense.
My worries is that you end up picking a popular scenario model -like the Geometric Brownian Motion that is used the the Black and Scholes world- and use that to estimate your VaR. It might say "in 95% of the cases the asset value won't drop more that $50mln" but my guess is that you won't be able to say something that precise with a mining operation and these commodity prices. Perhaps the model is wrong and a better model might say "ah, but if you include the risk of X,Y and Z happening -which are not *that* unlikely-, then the value can drop $400mln". In Texas X could be a hurricane, in Venezuela it might confiscation of property of banking issues.
A hedge or an insurance against extreme losses would take away this model risk. The price of that insurance will of course be based on some model, but that's not your worry. If the price is right then you can eliminate your risk. If the price is very high then thats a sign that the insurance company thinks the risk is very high.
A hedge -if possible- is different from an insurance in the sense that it don't cost you money, it only changes the stability of your P&L. E.g. selling all future production at a fixed price is partial hedge. It's partial because there is always the fundamental risk of operational or legal issues that can stop the operation (in which case the hedge will be burden, you will have to deliver something you don't have).