GDM3 - Data management methods
GDM3 - Data management methods
Content
Presentation
Data Room - Nicolas Pélissier
Data Management Fundamentals - Chris BRADLEY
Data Governance - Pascal COLOMBANI
PETREL DATA MANAGEMENT - François AVRIL
PETREL DATA ENRICHMENT WORKSHOP - F. Avril
Data Quality Management - Stephane MARTY
Interoperability & Data Standard - Jean-François RAINAUD
Interoperability & Data Standard - POSTERS - Jean-François RAINAUD
Data Architecture - Anthony SCETBON
Exploration & PDM, Tore HOFF (Equinor)
Data Visualization & PowerBI - Benjamin DESIAGE (Equinor)
Digital in Offshore Project Life Cycle - Thomas PARENTEAU (TechnipFMC)
Cloud and Digital Transformation - Stéphane MARTY (SLB)
Predictive Maintenance & Digital Twins - T. BARON 2023
Machine Learning
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- Describe and implement the main functions of Data Management,
- Apply best practices managing Corporate/Project Data taking into account their position into the lifecycle,
- Develop a governed approach to make data fit for purpose based on data consumers’ requirements,
- Build a new data model (conceptual, logical or physical data model) and review an existing data model,
- Understand and adopt data models,
- Describe reference and master data management (including importance and impact) in an organization and business entities,
- Define and maintain architecture specifications,
- Develop a Data Security strategy and policy, consistent with regulations,
- Define the data governance framework (data scope, management principles and standards),
- Prepare raw data, cleanse, enrich, validate and publish them in a format suitable for data analysis,
- Choose, apply a typical algorithms of machine learning, exploit results and measure the effectiveness of an algorithm.
List of speakers
Mathilde ADELINET
Maria AGUILERA
Alain AURIAULT
Carla CASTILLO
Antoine COUTURIER
Jean-Pierre DEFLANDRE
Eric DEVILLE
Frédérique FOURNIER
Karine LABAT
Jerome LAVAL
Olivier LERAT
Christian PAUCHON
Arnaud TORRES