RASTER IMAGE TOOLS FULL

These customers had multiple desktop and web-based tools that could load geotagged raster images, however the legacy tools struggled with rapidly loading large (100+ GB) images, resulting in substantial delays in providing SME feedback to the data science team.

Geoscientists from both oil and gas, and mining teams have reached out to OAG Analytics to create a new tool that enabled them to rapidly review large geotagged raster images that are used to inform machine learning models and are generated by our analytics workflows.

RASTER IMAGE TOOLS FULL

Individual files are frequently over 100 GB in size and full interaction is needed from these images via a range of end user devices to effectively improve workflow outcomes. However, due to the size and resolution of these large-scale images, rapidly rending them for collaborative processes is a challenge. These images are a valuable way for data scientists to collaborate with geoscientists and other team members by providing large-scale visualizations to help de-risk prospects and improve exploration efficiency. Large geotagged raster images are frequently used as input data to, and are generated by, hybrid machine learning workflows that quantify subsurface resources like hydrocarbons, copper, gold, and lithium.

OAG Analytics software running on AWS accelerates collaboration between geoscientists and data scientists with seamless interaction of 100+ GB geo-encoded raster images in a web browser or mobile device.

Raster image tools