Webinar

Data Hub Deep Dives (On-Demand)

Join our Data Hub group for a comprehensive walkthrough of our digitalized AutoStrat workflow. In this deep dive, we’ll focus on the extraction, cleaning, interpretation and curation of biostratigraphic legacy well data using advanced data engineering and science approaches. The result: transformed and unlocked decision-ready datasets. 

What to expect: 

• Explore data engineering techniques used to extract species name, depth information and specimen counts from biostratigraphic charts
• Discover how we ensure data quality through OSDU-compatible data capture, machine learning algorithms for outlier detection, and long-term storage of enriched, curated data in graph databases

Attendees will benefit from: 

• Realizing the advantages of automation for interpreting large volumes of biostratigraphic data quickly
• Unbiasing data to improve data-driven decision-making
• Converting time traditionally spent wrangling data into available time for advanced interpretation and analytics

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