Webinar – New Features in GeoToolkit.JS 2022
Learn about the newest features and improvements in the latest version of GeoToolkit.JS:
Watch now to learn about:
- Improvements in large-volume 3D reservoir display
- Support for overlay data for advanced visualization (including new density contour)
- Cutoff, annotation, zone support, and more for well log
- New GeoTIFF support to help you visualize your data on a map
- How to share your data with advanced reporting tool
- And more …
Empowering the Subsurface Team to Monitor Wells While Drilling
Hart Energy Webinar: Empowering the Subsurface Team to Monitor Wells While Drilling
Faced with a lack of flexibility, limited ability to handle different data types, and a high price tag, many companies struggle to find the right tools to optimize their drilling operations.
With IVAAPTM, subsurface teams can aggregate, search, and visualize subsurface data in one web-based, cloud-native viewer, empowering them to make decisions fast and potentially saving millions of dollars and countless man-hours.
In this webinar, you will learn:
- How to leverage real-time visualization for faster, data-driven decisions
- How to quickly build and customize drilling and G&G dashboards on the fly in a single viewer
- How to aggregate, search, and visualize data from multiple sources (PPDM, Mongo, WITSML) in the cloud, on-premise, or hybrid
- And more…
GeoToolkit JS 2022.0 Features Map
New version JS 2022.0
Whether looking for the easiest data visualization tools or simplifying customizations of widgets using well-documented APIs, you can save more than 120 hours per widget using GeoToolkit™.
GeoToolkit™ is a comprehensive set of high-performance 2D/3D tools and libraries that display seismic,log, multilateral schematics, contour, real-time data, ArcGIS maps in the cloud.
Machine Learning on IVAAP Subsurface Data Visualization Platform
In this example, we reconstruct well log curves using machine learning in INT’s IVAAP data visualization platform. First, we identify benchmark wells, then we identify problematic wells with missing data. Next, we create a model using our benchmark wells, validate that model, and then propagate the model to the problematic wells.
To learn more about how to use ML on IVAAP, visit int.com/ivaap/.