Unlocking the value of your subsurface image data through machine learning and image analysis

Images are one of the richest subsurface data sources for data curation projects ranging from thin section photomicrographs (small-scale) through to borehole image logs (large-scale). 

However, increasing the value of this data source requires considerable time, technology, domain expertise and innovative solutions. In this webinar our Data Hub group will unpack three approaches to successful image extraction: 

1. Microfacies and porosity prediction from thin section photomicrographs
2. Lithology/hydrocarbon prediction from core photography
3. Stress regime prediction through borehole image log analysis 

What to expect: 

• Examples of image enrichment through machine learning and image log analysis
• Fully integrated with other subsurface data via dashboard visualisations
• Application to pre-salt Brazil