Mineral Exploration Targeting: From Regional Anomaly to Drilling Decision

Last March I burned $40,000 drilling the wrong spot in Skardu.

The alteration signature looked textbook on Sentinel-2. ASTER bands 4/6/8 lit up like a Christmas tree. I was convinced. Drilled three holes. Nothing. Just barren propylitic halo, no core to the system.

That mistake taught me more about mineral exploration targeting than any course I've taken. So let me walk you through what the workflow actually looks like — not the sanitized version you see in pitch decks, but the real one, where you second-guess yourself at every step.

The Regional Anomaly Is the Easy Part

Here's the thing nobody tells junior explorers: spotting a regional anomaly from satellite data is honestly the easiest part of the job. Pull Sentinel-2 over any 50km x 50km tile in Chagai, Waziristan, or Kohistan, run band ratios for iron oxides (4/2), clays (11/12), and hydroxyl-bearing minerals, and you'll find anomalies. Lots of them. The Chagai belt alone has 3,847 distinct alteration pixels above my threshold in the area I last surveyed.

That's the problem. Too many targets, not enough drill budget.

At GeoMine AI we've had to build the workflow backwards — starting from "what can we afford to drill" and working back to "which 4 targets out of 3,847 deserve the money." That filtering process is where 90% of the actual exploration value gets created. The satellite data is the raw input. The decision tree is the product.

The Messy Middle: From Pixel to Pad Site

Once you've got your regional anomaly, the next step isn't drilling. It's not even ground truthing yet. It's stacking.

What I mean by stacking: you take that Sentinel-2 alteration signature and overlay it with ASTER thermal data, then SRTM-derived structural lineaments, then SAR coherence maps to check for recent ground movement, then whatever historical geochem you can find from the Pakistan Geological Survey archives (which, fair warning, are patchy and sometimes from the 1970s).

A real exploration drilling target needs at least four independent datasets agreeing. Four. Not three. I used to think three was enough — alteration, structure, geochem. Then Skardu happened. Now I demand a fourth, usually either SAR-derived structural confirmation or a magnetic/gravity signal if we can get it.

The stacking process kills targets. Brutally. From 3,847 pixels you might get down to 200 zones, then 40 prospects, then 8 prospects that deserve a field visit, then maybe 2-3 that justify a drill program.

And here's where geo mining gets uncomfortable: sometimes the satellite stack says "drill here" and the field geologist says "this looks wrong." Listen to the geologist. Always. The pixel doesn't know about that pegmatite dyke crosscutting the alteration zone. The pixel doesn't smell the sulphides. Satellites narrow the search area by 95%+. They don't replace boots.

What Actually Goes Into a Drilling Decision

Look, by the time you're deciding whether to spud a hole, you should be able to answer six questions cold:

1. What's the deposit model you're testing? (Porphyry Cu-Au? Orogenic gold? LCT pegmatite for lithium? Each one has a different drill geometry.)

2. Where's the predicted mineralization at depth based on the alteration zoning? Propylitic on the outside, phyllic in the middle, potassic at the core — if you're drilling phyllic, you're drilling the halo, not the pay zone.

3. What's the structural control? Faults, intersections, fold hinges. Mineralization concentrates where fluids could move. No structure, no deposit.

4. What's your hole orientation? Vertical holes are cheap but often miss steeply dipping veins. I've seen operators in Gilgit drill 12 vertical holes through a 70-degree dipping shear zone and report "no mineralization." The mineralization was there. They drilled parallel to it.

5. What does failure look like? Define this before you drill. If your first hole returns less than X grams per tonne over Y meters, do you drill the second one? Decide now, not after you've fallen in love with the project.

6. Can you actually get a rig there? Sounds dumb but in Gilgit Baltistan I've had targets that required 14km of road building before a single hole could be drilled. The economics changed completely.

This is the part of mineral target generation that AI tools — including ours at geomines — can support but can't decide for you. The platform tells you where the probability is highest. You decide what to do with that probability given your budget, your risk tolerance, and the political situation in the district that week.

One More Thing About Confidence

I'll be honest about something. Early on I treated high-confidence satellite targets as if they were 80% likely to hit. They're not. A high-confidence exploration drilling target, even with four stacked datasets agreeing, is maybe 15-25% likely to return economic intercepts on the first hole. That's still ten times better than random drilling, which is closer to 2%. But it's not a sure thing and anyone telling you otherwise is selling something.

The goal of a good geomine workflow isn't to guarantee the next hole hits. It's to make sure that when you drill ten holes across three targets, three or four of them hit something worth following up. That's how real exploration economics work.

And if you're a mine owner sitting on a lease in Chitral or Khuzdar wondering whether your concession is worth drilling — start with the regional anomaly question. Then go through the stack. Then call a field geologist before you call a driller.

What does your fourth dataset look like?