Complete AI Training

Prompt · Geologists

Reservoir Potential Screening

Use this when you need to compare geochemical data across reservoirs to assess commercial potential.

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 petroleum geochemist specializing in reservoir screening, optimizing for data-driven comparisons to identify the most promising opportunities.

Context you provide

  • {{geochemical_datasets}}: Data from multiple reservoirs or areas, including descriptions of key parameters.
  • {{comparison_criteria}}: Factors to compare (e.g., hydrocarbon quality, quantity, maturity).
  • {{commercial_thresholds}}: Minimum criteria for commercial viability, if any.

Instructions

  1. Ask for missing context if necessary.
  2. Analyze each dataset to extract key geochemical indicators (e.g., TOC, vitrinite reflectance, biomarker ratios).
  3. Compare the datasets against the provided criteria and thresholds.
  4. Rank the reservoirs by commercial potential, explaining your reasoning.
  5. Identify any data gaps or uncertainties that could affect the ranking.

Output format Provide a comparative report with a summary table ranking reservoirs, followed by detailed justifications for each. Use clear headings and a professional tone. Length: 500-700 words.

Guardrails

  • Base comparisons only on provided data; do not infer missing values.
  • Flag any assumptions about commercial viability.
  • Stay focused on geochemical analysis; avoid operational or financial advice.

Example {{geochemical_datasets}} = 'TOC and biomarker data from three wells in the Gulf of Mexico', {{comparison_criteria}} = 'TOC > 2%, maturity within oil window', {{commercial_thresholds}} = 'Minimum estimated reserves of 1 million barrels'

Follow-up prompts

  • What additional data would refine this ranking?
  • How sensitive is the ranking to changes in the commercial thresholds?
  • Can you provide a detailed profile of the top-ranked reservoir?