Intelligent Ground Investigation: Automation and Data Management with DAARWIN
- SAALG GEOMECHANICS
- Apr 10
- 2 min read
Accurate ground characterization is the foundation of any geotechnical project. However, data management in ground investigations often remains a manual, fragmented, and error-prone process. DAARWIN offers a fully digital transformation of this workflow, centralizing, automating, and structuring geotechnical data to build reliable, dynamic, and reusable ground models across the project lifecycle.
The challenge of geotechnical data
Boreholes, in-situ tests, lab reports, hand-written field notes, scanned PDFs… Ground investigations generate vast amounts of information with different formats, quality levels, and structures. This heterogeneity prevents an integrated understanding of the ground, which can result in incomplete models, poor decisions, and risks during design and construction phases.
Additionally, data interpretation is highly dependent on individual expertise and often lacks traceability, validation, or reuse capabilities. In large-scale projects with multiple contractors, design offices, and construction stages, this lack of standardization becomes a critical source of uncertainty.
DAARWIN’s intelligent data management
DAARWIN automates the processing, classification, and storage of geotechnical data. From importing boreholes in various formats to digitizing historical reports using OCR and AI, the platform builds a structured, traceable, versioned database ready for analysis.
Once integrated, data is grouped into geotechnical units, which can be modeled spatially in cross-sections or 3D ground models. The system supports automatic parameter characterization, layer identification, and assignment of properties based on standards, generating input-ready models for numerical simulation (FEM).
Automation with traceability and control
Automatic identification of subsurface layers and geotechnical units
Parameter calculation from lab and field test data
Generation of cross-sections directly from the database
Traceability from each parameter back to its original test
Integration of public and private data into a unified ground model
Key benefits
Significant reduction in modeling and interpretation time
Improved quality and consistency in geotechnical models
Solid foundation for sensitivity analysis or backanalysis
Reusability of data for future project phases
Enabling collaboration among designers, contractors, and specialists
Digitalizing ground investigations—as enabled by DAARWIN—transforms scattered data into structured, traceable models that enhance decision-making. Automating subsurface knowledge management not only saves time but significantly improves technical quality and adaptability to changing project conditions.
👉 Discover how DAARWIN can transform your geotechnical data management from day one:
