Topics

The topics for the Second EAGE Workshop on Machine Learning are listed below. We especially welcome case studies highlighting successes and failures.

1.Latest Developments, New Methods and Technologies

• Machine Learning Techniques and Basic Principles
• Qualitative and Quantitative QC Methodologies
  
• Hybrid/Cognitive AI and Expert Knowledge
• Model Guarantee

2.Value Creation and Performance Indicators

• Strategic Anchoring of ML capabilities
• Knowledge Graphs
• Model Interpretability

3.Business Processes and Objectives

• Consumption Models: Home-Grown, 3rd Party, Consultancy, etc
• Data Governance: How ML challenges the Data Management Landscape in Operators?

4.Practical Solutions and Best Practices

• Bringing ML into Production
• Data and Engineering challenges of ML in the Geoscience Domain
• Benchmark Datasets and Case Studies
• Data Sharing Models