Engineering geological models play a pivotal role in infrastructure development by bridging the gap between geoscience and engineering. These models provide a systematic representation of subsurface conditions, integrating geological, geotechnical, and hydrological data to facilitate informed decision-making in construction, resource management, and hazard mitigation. By incorporating real-time site investigations, remote sensing data, and numerical simulations, these models help predict ground behavior, assess risks, and optimize design solutions.
At the core of these models is the ability to translate complex geological phenomena into practical engineering insights. They serve as essential tools for ensuring safety, cost-effectiveness, and long-term sustainability in infrastructure projects. As technology advances, the integration of artificial intelligence, big data analytics, and 3D visualization is further enhancing their accuracy and predictive capabilities.
Being organized on 30 November 2025, this workshop will explore the latest advancements in engineering geological modeling, highlighting best practices, case studies, and innovations that contribute to sustainable and resilient infrastructure. By fostering interdisciplinary collaboration, it aims to equip participants with the knowledge and skills necessary to leverage geological models effectively in their professional endeavors.
Lead faculty includes Fred Baynes, Mark Eggers and Anthony Bowden, all from Australia.
Time |
Component |
0900 - 0930 |
Registration & Introductions |
0930 - 1030 |
Lecture – Overview of the C25 EGM Guidelines Methodology |
1030 - 1100 |
Morning Tea |
1100 - 1230 |
Workshop Exercise – EGM development for a hydroelectric project |
1230 - 1330 |
Lunch and socialisation |
1330 - 1400 |
Lecture - Application of the C25 Guidelines using EGM software |
1400 - 1600 |
Worked Examples – EGM development for various dams and hydro projects using 2D and 3D EGM software |
1600 - 1630 |
General discussion and debriefing |
1630 - 1700 |
Evening Tea |