StackDX AI Queries

StackDX Maps AI Guide

The StackDX AI lets you explore wells, pipelines, facilities, and mineral rights using plain English — directly inside Maps.

Instead of manually filtering layers, you can simply ask questions like:

  • “Show me active oil wells in Township 52”

  • “Who are the top operators by recent production?”

  • “Export pipelines longer than 20 km”

  • “Get full AER details for this well”

The AI handles the rest.


What You Can Do

🔎 Find and Filter Assets

Ask for:

  • Wells by licensee

  • Pipelines by size

  • Facilities by status

  • Mineral rights by bonus

  • Assets within a specific area

  • Inactive or suspended assets

Examples:

  • “Show active wells operated by CNRL”

  • “Find pipelines over 10 inches”

  • “List inactive facilities in BC”


🗺 Visualize Results on the Map

If your question relates to physical assets, the AI can create a new layer automatically.

For example:

  • “Visualize recent oil wells in Township 52”

  • “Show pipelines operated by CNRL”

The results appear as a new layer that you can toggle, style, and analyze like any other map layer.


📊 Rank, Compare, and Analyze

You can ask analytical questions such as:

  • “Top 10 wells by recent BOE”

  • “Who are the largest operators by cumulative gas?”

  • “Average oil production by operator”

The AI will summarize results in the chat.


📁 Export Data

You can export results to:

  • CSV

  • JSON

Examples:

  • “Export active Tourmaline wells to CSV”

  • “Download these pipelines as JSON”

A file download will begin automatically.


🏢 Get Full Regulator Details

For a specific well, pipeline, facility, or mineral right, you can request detailed AER public record information.

This often includes much more detail than the standard map dataset, such as:

  • Licensing and status history

  • Drilling and completion details

  • Engineering data

  • Directional surveys

  • Complaints or incidents

  • Connected facilities or wells

  • Ownership and agreement information (mineral rights)

Example:

“Get full AER details for 102160207808W600”

You can also reference a selected feature directly:

“Show full details for this facility”


Production Data Explained

For wells, production data is available in several formats:

  • Recent production (default for most questions)

  • Cumulative production

  • IP3 (initial 3-month production)

  • IP12 (initial 12-month production)

Note: IP3 and IP12 represent initial production periods after the well started producing — not the last 3 or 12 months


Using Your Current Map View

The AI understands what you're looking at.

You can say:

  • “Filter to all wells in this view”

  • “Export all pipelines I’m currently viewing”

  • “Show similar wells to the selected one”

If you change your selection or zoom to a new area, the AI adapts automatically.


Asking Good Questions

You don’t need to be technical. Just describe what you want.

Good examples:

  • “Show active gas wells in Township 51”

  • “Top 20 wells by IP12 oil”

  • “Export inactive pipelines to CSV”

  • “Find wells operated by Canadian Natural Resources Limited”

Helpful tips:

  • If you care about timeframe, specify recent, cumulative, IP3, or IP12.

  • If you want a file, say “export.”

  • If you want it on the map, say “show” or “visualize.”


AI Credits & Usage

StackDX uses an AI credit system.

Weekly Free Credits

  • You currently receive $25 CAD in free AI credits per week during our promotional period. Credit amounts may change in the future.

  • Free credits reset weekly

  • Unused credits do not roll over

  • You can purchase additional credits

  • Free credits are always used first

Typical Cost

Most questions cost:

  • $0.10–$0.20 CAD for simple requests

  • $0.50–$1.00 CAD for larger analyses

Longer conversations may cost slightly more.

You can ask:

“How many AI credits do I have left?”

at any time.


When the AI Asks for Clarification

Sometimes your request may be ambiguous, such as:

  • Not specifying the assets you are looking for

  • Asking for production without a timeframe

  • Using an incomplete/ambiguous company name

In those cases, the AI will ask a quick clarifying question before proceeding.


If Something Doesn’t Look Right

The AI automatically checks for errors and retries queries when needed.

If results seem unexpected, you can:

  • Ask it to explain its query and reasoning

  • Prompt it to refine the filters

  • Request a preview of raw data before visualizing

  • Ask for steps to achieve the same goal through the app interface

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