JKMRC Friday Seminar 2025: Connecting the Mine with the Mill using the JKMRC Stockpile Model

JKMRC Friday Seminar 2025: Connecting the Mine with the Mill using the JKMRC Stockpile Model

🎙 Dr Marko Hilden 👥 6K 📅 November 24, 2025 ⏱ 64 min 👁 317 📄 original study 🧭 2026-08-16
Available in: English (current) Français

Keywords

stockpilecellular automatasegregationsoft sensormaterial tracking

Summary

Dr Marko Hilden presents the JKMRC stockpile model, a dynamic simulation tool based on continuous cellular automata (CCA) for modeling material flow and size segregation in bulk stockpiles, silos, and bins. The model uses a 3D grid of cells storing properties like state, fill, size, grade, and time, with rules for feed addition, void propagation, and surface flow. It simulates segregation by splitting material into coarse and fine fractions during surface flow. The model has been calibrated and validated at two industrial sites: Los Bronces (Chile) with a large conical stockpile and Batu Hijau (Indonesia) with an elongated stockpile fed by a tripper conveyor. At both sites, the model accurately predicted stockpile height and product size distribution, and revealed segregation patterns affecting SAG mill performance. The model is fast enough for real-time use, enabling soft sensors for process control, stockpile design, and geometallurgical material tracking. Recent work extends the model to track individual material IDs through the stockpile, integrating with GPS data from trucks and loaders for mine-to-mill reconciliation and optimization.

171 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides significant value by demonstrating a practical, fast, and validated tool for stockpile modeling, addressing a gap in current methods. The argumentation is solid, grounded in first principles and supported by case studies with real plant data. The speaker clearly explains the model’s mechanics and its applications, making a compelling case for its utility in process optimization and geometallurgy. The use of CCA over DEM is justified by computational efficiency, and the segregation model is a novel contribution. The validation against plant data at two sites strengthens the credibility of the approach.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, with a clear methodology and validation against industrial data. The speaker references prior work by Castro and Servin, and mentions a SAG conference paper, but does not provide specific citations in the talk. The title accurately reflects the content, focusing on the stockpile model as a bridge between mine and mill. The presentation is part of a seminar series, indicating a peer-reviewed context, but the talk itself is not a formal publication. No comments were provided for analysis.

192 words

Title / Content Match

The title accurately reflects the content, focusing on the JKMRC stockpile model as a tool to connect mine and mill operations.

Quality & Reliability

8/10

Presentation of a validated dynamic stockpile model based on continuous cellular automata, with case studies at two industrial sites (Los Bronces and Batu Hijau) and comparison to plant data. The methodology is well-documented and the results are plausible, though not peer-reviewed in this format.

Key Moments

Cited Sources

Concurring Sources

  • SMI Webinars — Related to the seminar series and additional resources

Contribution & Novelties

The presentation introduces a novel continuous cellular automata model for stockpile dynamics, incorporating size segregation and real-time simulation capability. This addresses limitations of existing models (e.g., DEM’s computational cost) and provides a practical tool for process optimization and geometallurgy. The model’s ability to track material IDs extends its utility to reconciliation and mine-to-mill integration.

Pour aller plus loin :

83 words

Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a slightly lower technical depth, indicating a well-balanced presentation suitable for a professional audience. The overall high scores reflect the practical value and rigorous validation presented.

Reliability 8/10