Why data QA/QC is critical for subsurface decisions: A case study in reservoir porosity
Can you trust your data? Join CGG Data Hub as we explore this question with a case study from the quality assurance perspective.
See how CGG 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 CGG handles complex interconnected data from multiple sources
- Real case studies
- Interactive discussion and opportunity to test your QC/QA skills
Porsche Adams
Data geoscientist, CGG Data Hub
Porsche joined CGG Data Hub in 2021 following an associate's degree in earth sciences, a bachelor's degree in geology from the University of Boulder, Colorado, and a master's degree in petroleum geoscience from Imperial College London. During her studies Porsche also developed a strong interest in coding, building manipulatives for the calculus series. Her role at CGG combines data analytics with the subject-matter expertise of a geologist to streamline the data extraction process. Find out more in Porsche's CGG Story 'Diversity in Data Science'.
Meghan Davies
Operations head, CGG Data Hub
Meghan joined CGG in 2013 as a graduate geoscientist focusing on frontier exploration. Helping to establish Data Hub, she enjoys working alongside subject-matter experts, data scientists and software engineers to solve clients' digital transformation challenges. Today, Meghan is responsible for people and projects and is passionate about creating an inclusive and supportive environment to enable talented people to innovate and succeed. Find out more in Meghan's CGG Story 'Meet a New Kind of Expert: The Data Geoscientist'.
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