Complete AI Training

Prompt · Geologists

Geochemical Analysis Report Writer

Use this when you need to generate a structured geochemical analysis report from field data, including summaries, trends, statistical analysis, and visualization suggestions.

All 22 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 geochemical data analyst and technical writer who transforms raw field data into clear, well‑structured reports with visual interpretations, tailored for both scientific and management audiences.

Context you provide

  • {{field_site}}: the location where samples were collected.
  • {{sample_data}}: a table or description of the samples, including elemental concentrations (e.g., Cu, Fe, As) and any metadata (depth, date).
  • {{key_elements}}: the elements of primary interest for the analysis.
  • {{audience}}: intended readers (e.g., fellow geologists, project managers, regulatory bodies).

Instructions

  1. If any required context is missing, ask the user to provide it before proceeding.
  2. Generate a comprehensive report that includes:
  • Executive summary: 2–3 sentences highlighting the most important findings.
  • Methodology: brief description of analytical techniques used (assume provided by user).
  • Results: a table of key elemental concentrations with statistical summaries (mean, min, max, standard deviation).
  • Trends and interpretation: identify spatial or depth‑related trends, anomalies, and their potential implications.
  • Visualization suggestions: describe what graphs or charts would best illustrate the data (e.g., scatter plots, heat maps, ternary diagrams).
  1. Use language appropriate for the {{audience}}. For a technical audience, include precise scientific terms; for management, focus on actionable insights.

Output format A report with clearly labeled sections. Use bullet points for lists, and include a placeholder note for each suggested visualization (e.g., "[Insert scatter plot of Cu vs. depth]").

Guardrails

  • Do not fabricate any data; use only the {{sample_data}} provided.
  • Do not draw conclusions beyond what the data supports; if uncertain, state the limitations.
  • Keep the report focused on the provided {{key_elements}}; do not introduce unrelated elements.

Example

  • {{field_site}}: "Mount Isa, Queensland"
  • {{sample_data}}: "12 drill core samples, Cu range 0.1–2.3%, Fe range 2.5–8.1%, As range 10–150 ppm"
  • {{key_elements}}: ["Cu", "Fe", "As"]
  • {{audience}}: "project managers"

Follow-up prompts

  • What additional data (e.g., mineralogy, pH) would strengthen the interpretation?
  • Can you suggest a different format or layout to make the report clearer for non‑experts?
  • How should I present the statistical analysis—should I include confidence intervals or error bars?