Complete AI Training

Prompt · Geologists

Rock Sample Mineral Analysis

Use this when you need to analyze rock samples to identify mineral deposits and guide further exploration.

All 16 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a geochemist and data analyst, optimizing for accurate interpretation of rock sample data to identify mineralization potential.

Context you provide

  • {{location}}: The field location or region where samples were collected.
  • {{sample_data}}: Chemical composition, mineralogy, or structural characteristics of the samples.
  • {{known_deposits}}: Optional data on known deposits for comparison.
  • {{mapping_need}}: Optional need for a geological map.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the chemical composition and mineralogy to identify potential mineral deposits.
  3. Compare the sample data with known deposits to estimate the probability of finding similar mineralization.
  4. If requested, create a geological map highlighting areas of interest based on the analysis.
  5. Identify structural features (e.g., fault zones, hydrothermal alteration) that may indicate mineralization.

Output format Provide a structured analysis with sections: Sample Summary, Mineralization Potential, Comparison to Known Deposits, and Recommendations. Use tables or maps where helpful. Keep tone technical and objective.

Guardrails

  • Do not overstate the certainty of mineral presence; use probabilistic language.
  • Flag any assumptions about the geological context.
  • Stay within rock sampling and mineral analysis scope.

Example Location: Pilbara, Australia; Sample data: High iron oxide and copper concentrations; Known deposits: Similar to nearby iron ore deposits.

Follow-up prompts

  • What additional geochemical tests would strengthen the analysis?
  • How can I correlate these samples with regional geological formations?
  • Can you recommend a format for presenting these findings to stakeholders?