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Webinar

Unleashing the power of digital biostratigraphy: Expert, unbiased, scalable

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
On-demand viewing available
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Peter Kiss, Data Geoscientist, CGG Data Hub
Joshua Cullum, Project Leader, CGG Data Hub

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Data Transformation

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Online
Timezone
Europe/Paris

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
On-demand viewing available
-
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Grant Cole, Project Geoscientist, CGG Data Hub
Ed Jarvis, Technical Head, CGG Data Hub

Data Transformation Webinars

Browse all webinars available for on-demand viewing.

Data Transformation

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Explore More On YouTube

Explore more data transformation videos on our YouTube channel.

 

 

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Europe/Paris

Why data QA/QC is critical for subsurface decisions: A case study in reservoir porosity

Can you trust your data? Join our Data Hub group as we explore this question with a case study from the quality assurance perspective. 

See how Viridien harnesses the knowledge of subject-matter experts at every step of the data extraction and transformation process to deliver accurate and dynamic results while preserving data lineage and OSDU principles. 

What to expect? 

  • Behind-the-scenes look at how Viridien handles complex interconnected data from multiple sources
  • Real case studies 
  • Interactive discussion and opportunity to test your QC/QA skills
On-demand viewing available
-
Audio icon for CGG webinars
Porsche Adams, Data Geoscientist, CGG Data Hub
Meghan Davies, Operations Head, CGG Data Hub

Data Transformation Webinars

Browse all webinars available for on-demand viewing.

Data Transformation

Find out more on our data transformation landing page.

Explore More On YouTube

Explore more data transformation videos on our YouTube channel.

Show calendar link
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Event Type
Online
Timezone
Europe/Paris