Subsurface modeling and analysis

Recognizing teams who apply technology in extraordinary ways to solve complex subsurface challenges.

YEAR IN INFRASTRUCTURE

2026 Subsurface modeling and analysis finalists

Intertechne Consultores S.A.

Tailings Dam: Innovative use of geological and geotechnical models and assessment

Subsurface modeling and analysis

Mott MacDonald

Praha-Smíchov–Beroun rail line: Building a connected subsurface model

Subsurface modeling and analysis

Award category criteria

Show how your use of the technology delivered improved outcomes for the organizations involved and the communities served.

What we're looking for

Demonstrate how your use of technology delivered measurable results in understanding underground engineering or subsurface challenges through modeling and analysis.

Tools and technology

Submissions should demonstrate use of Seequent applications, independently or combined with other software, across the project lifecycle. Eligible software includes Seequent Central, OpenGround, MX Deposit, Imago, Leapfrog Works, Leapfrog Geo, Leapfrog Energy, Oasis montaj, Aarhus GeoSoftware, PLAXIS, Volsung, and GeoStudio

Innovation and differentiation

Show what made your approach stand out. Consider: insightful use of project data, strong interpretation that led to clear decisions, inventive problem-solving, and effective use of Seequent or Bentley applications to advance the project.

Outcomes and efficiency

Detail how your project improved performance: digital workflows that connected earlier-stage data to the broader project, stronger communication and collaboration across stakeholders, clearer reporting and visualization, and reduced siloes.

Return on investment

Provide quantified results: cost savings, time savings, resource optimization, and risk management.

Sustainability and resilience

Showcase impact on climate adaptation, disaster preparedness, energy savings, carbon reduction, improved resilience, quality of life, and mitigated risk.

Submission requirements

Include high-quality visuals: images, screenshots, models, simulations, animations, charts, and diagrams. Provide quantitative data where applicable. Show how digital twins and AI advanced project delivery or asset performance.

Questions? Contact [email protected].