Building next-gen energy apps with scalable, high-performance visualization

Published: 07/08/2026

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Discover how GeoToolkit's high-performance 2D/3D visualization libraries are transforming upstream E&P workflows. In this webinar, we'll showcase the latest capabilities — from rendering 200 million reservoir cells in the browser to correlating 10,000+ wells in a single view at 25+ FPS. We'll also explore Python integration with Jupyter and Dash, AI-assisted developer onboarding, and the 2026 roadmap. See live demos and learn how GeoToolkit accelerates insight from subsurface data to confident decision-making.

Topics covered in this session:

  • What GeoToolkit is and its multi-platform availability (HTML5, C#/.NET, Java, C++/Qt) with support for major subsurface data formats (LAS, DLIS, WITSML, SEG-Y, SEG-D).
  • New 2026 capabilities: high-density log visualization, advanced well correlation, 3D schematics, microseismic displays, and large reservoir rendering.
  • Full Python support for modern workflows using Jupyter notebooks and Dash apps.
  • The 2026 roadmap: seismic optimization, UX modernization, scalability improvements, and AI-assisted code generation.
  • How GeoToolkit integrates with the Tela AI platform to bridge AI reasoning and subsurface visualization for faster decision-making.

Speakers:

  • Dmitriy Lukyanenko - GeoToolkit Development Manager
  • Luc Mignon - GeoToolkit Portfolio Manager
  • Akshay Shrirang Bapat - Product Analyst - Data Visualization
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