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

Sep 20 - Sep 20, 2023

On-demand viewing available , Online

Category: Webinar

Data Hub Deep Dives (On-Demand)

Join CGG Data Hub 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

Peter Kiss, data geoscientist, CGG Data Hub

Peter is a multilingual professional who focuses on biostratigraphic data analysis and workflow digitalization, having realized the potential of combining computer science with micropaleontology during his PhD degree in marine geosciences and micropaleontology. In his day-to-day role Peter is responsible for digitalizing manual methodological approaches in geoscientific interpretations and revolutionizing data strategies for legacy datasets.

Joshua Cullum, project leader, CGG Data Hub

Josh joined CGG in 2018, following a masters in applied and petroleum micropalaeontology from the University of Birmingham. Josh has used his interests in stratigraphy to help build dynamic workflows and data models to digitalize and store legacy stratigraphic data. Today, Josh is responsible for the completion of integrated multi-disciplinary data projects, however, is always looking forward to diving into any stratigraphic data that is available.