Subsurface Data Management and Geological Modeling

Introduction to Subsurface Data Management

• Overview of subsurface data types
• Importance of data management in geology and resource exploration
• Data acquisition, storage, and quality control techniques

Data Integration and Interpretation

• Methods for integrating subsurface data (seismic, well logs, and core samples)
• Techniques for analyzing geological and geophysical data
• Tools for data visualization and mapping

Geological Modeling Principles and Tools

• Overview of geological modeling concepts
• Common software tools for geological modeling
• Building static and dynamic models for reservoir characterization

Application and Case Studies

• Real-world applications of subsurface data management
• Case studies on geological modeling in exploration and production
• Challenges and solutions in managing subsurface data

1ST BATCH: Tuesday, January 20, 2026 — Friday, January 23, 2026.

2ND BATCH: Tuesday, May 12, 2026 — Friday, May 15, 2026.

3RD BATCH: Tuesday, September 8, 2026 — Friday, September 11, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.