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Hello Everyone,

I’ve been working on a project that involves building a large-scale geological model using Leapfrog Geo, and I’m running into some challenges. I’m reaching out to tap into the collective expertise here and hopefully gain some insights or tips.

My model incorporates multiple data sources, including extensive drillhole datasets, geophysical surveys, and some historical geological mapping. As the model grows in complexity, I’ve noticed the following issues:

• Performance Slows Down: Operations like updating the geological surfaces or modifying parameters take significantly longer.
  
• Visualization Lag: Rendering the model in 3D becomes slower, making it harder to navigate and analyze.
  
• Data Management: Keeping all the input data well-organized and linked correctly is becoming cumbersome.

Here are a few specific questions I’m hoping the community can help me with:

• Are there any best practices for managing performance in large models? For example, would splitting the project into smaller segments and combining them later help?
  
• What are the most effective techniques for managing and cleaning large datasets before importing them into Leapfrog?
  
• Are there specific hardware configurations or system settings that can help improve the software's responsiveness for large-scale modeling?

I’ve already tried optimizing my drillhole intervals and reducing the resolution of some geophysical grids, which helped slightly, but I’d love to hear what others have done in similar situations.

If anyone has faced similar challenges or has tips to share, I’d greatly appreciate your insights! I’m happy to provide more details about my workflow or project specifics if that helps.

Thank you in advance for your time and expertise!

kelvinsalesforce