de Almeida, TFS, Melo, TC, Norberto, AS & Barros, ML 2026, 'Integrating building information modelling and environmental, social and governance strategies 
for the sustainable management of filtered tailings storage facilities', in AB Fourie, M Horta, M Oliveira & S Wilson (eds), Paste 2026: Proceedings of the 28th International Conference on Paste, Thickened and Filtered Tailings, Australian Centre for Geomechanics, Perth, pp. 1-15, https://doi.org/10.36487/ACG_repo/2655_47
(https://papers.acg.uwa.edu.au/p/2655_47_Almeida/)
Abstract: The mining industry faces growing expectations to manage environmental, social, and governance (ESG) risks with demonstrable controls and traceability, particularly for filtered tailings storage facilities. This paper proposes an integrated framework in which building information modelling (BIM) provides the digital engineering baseline (geometry, quantities, interfaces and constructability constraints) and advanced work packaging (AWP) translates this baseline into executable work packages with QA/QC hold points, which are then used as structured inputs to hazard identification and risk assessment and failure mode and effects analysis aligned with the Global Industry Standard on Tailings Management (GISTM). BIM requirements were defined for dry-stack layout, drainage and water management systems, and compaction logistics, and models were developed on the Autodesk software to simulate tailings placement and construction sequencing. The BIM-derived elements (e.g. drainage networks, slopes, haul roads and sequencing interfaces) supported failure mode definition and consequence mapping, while AWP enabled control implementation through workpackage-level responsibilities, acceptance criteria and inspection gates. For example, drainage segments with low slope and high sedimentation potential were flagged in the model, translated into dedicated installation work package (IWPs) with inspection gates, and linked to water quality monitoring points, reducing the likelihood and consequence of turbidity exceedances. Using this approach, 
74 inherent ESG-related risks were identified, predominantly medium and high. After implementing the BIM/AWPinformed controls, high risks decreased from 33 to 1%, while low-risk scenarios increased from 5 to 45%. Key actions included drainage enhancement, revegetation planning, and environmental monitoring linked to model objects and work packages for auditability. The proposed framework advances digital and sustainable management of filtered tailings facilities by explicitly connecting engineering information, execution governance, and ESG risk reduction within a GISTM-compatible structure.

Keywords: digital engineering, risk assessment, dry stacking, decarbonisation, mine waste governance