Leveraging the 3D TSF modeling capabilities of Muk3D alongside Goldsim's monte-carlo simulation features provides a more comprehensive approach to TSF planning and risk assessment. In this webinar hosted by the Goldsim Technology Group 28-30 May 2024, I show how monte-carlo simulation in tailings design and operation planning can enhance resilience through adaptive management and being capable of anticipating and mitigating risks dynamically.
Thank you to everyone who attended the GoldSim webinar on tailings management with Muk3D and GoldSim (28-30 May 2024). Check out the replay if you missed it.
As promised, also find below:
the tutorial model that was developed during the webinar
some applications user stories for Monte Carlo simulation of TSF geometries
Tutorial Model
The Muk3D project file containing the model developed during the tutorial can be downloaded here 👇.
Requirements
In order to run it, you'll need the following software installed:
Goldsim or the Goldsim Player (free)
Muk3D Tailings+ together with the Muk3D Simulation add-on. Contact info@simplxit.com for Europe/Africa or your local Muk3D reseller to arrange a live demo and get set up with an evaluation version.
System Modelled
The model runs monte-carlo simulation of a quarterly tailings deposition plan. Every quarter, it uses Goldsim to sample the quarterly pond and deposited volumes. It then uses Muk3D to assess if the freeboard is sufficient. If not, it raises the dam first using an upstream construction template. Otherwise, it goes ahead and run the quarterly deposition.

How to run the model
To run the model:
Unzip the downloaded file and open the Muk3d.project file in Muk3D
Open the Goldsim model (stochastic deposition.gsm)
Make sure that the folder 3 - Runs is set as the working directory
Start the Goldsim server Simulation >> Start Goldsim Server
Run the Goldsim model
An improved version of the script ("stochastic_deposition Tutorial Improved.py") is included under the Script Backup folder.
To use it, make sure to copy the selected Script Backup folder's file as the stochastic_deposition.py file in the 2 - Model folder.
The improved script implements:
improved start-up command conditions to decrease the runtime for the deposition goal seeking
a debugging method used when the model is not able to converge (use for complex topography, deposition settings). In that case the method implement and vary initial command conditions to find a solution to the convergence issue.
User Application Cases Stories

The integration of Muk3D with Goldsim presents a range of potential applications that can significantly enhance operational planning and management as shown in the accompanying PDF document.
Kommentarer