RMSP

The Engine for Geology Modeling, Resource Modeling and Mine Planning

Resource Modeling Solutions Platform (RMSP) puts leading deterministic and probabilistic methods in one automated, fully auditable Python package, ready to run locally, in your cloud or in AMP.

Geology Modeling

Probabilistic geology modeling for risk-optimal decisions. Automate the repetitive work so geologists can focus on interpretation and insight.

  • Veins, contacts, offsets and structural trends, assembled into watertight models.

  • Models fit fast enough to keep pace with new drilling.

  • Simulation extends deterministic models to characterize their uncertainty.

  • Built-in k-fold validation rapidly assesses model accuracy.

Resource Modeling

Move from data to defensible, reproducible estimates and simulations, with checking completed along the way.

  • Exploratory data analysis, capping and contact analysis that guide each modeling choice.

  • Kriging that adapts for your deposit, including local anisotropy, local capping and local search optimization.

  • Simulation for drill hole spacing, value of information and classification.

  • Checks, tables and figures update with every model.

Two simulated gold realizations within the vein, showing equally likely grade distributions

Mine Planning

Carry models and their uncertainty into mine design, for plans that hold up today and adapt as new information arrives.

  • Ultimate and nested pits optimized directly on RMSP block models.

  • Optimize across realizations to balance value and risk.

  • Pit shells, remaining-rock solids and minimum mining width optimization.

Optimized pit cut into topography with the grade model and drill holes

Drill Hole Optimization

Build on existing drilling to design infill programs that convert the most resource for the budget.

  • Test several budgets at once and see resource conversion against spend.

  • Rigs, access, costs with depth and geology are built in, for surface and underground.

  • Holes ranked by importance, and manual plans benchmarked against the optimum.

Optimized drill holes for three budgets, shaded by budget, over blocks colored by their classification before and after the new drilling

Designs That Account for Risk

Overcome a known limitation of single-model pit designs. Optimize across simulated realizations, see the trade-off between expected value and risk, and choose the design that suits your risk position.

Efficient frontier of pit expected value against risk
Ore probability shells at 0.02, 0.5 and 0.98 inside a block model shaded by the probability of being in the pit, with a key
Conservative, medium, risky and deterministic pit outlines over ore probability
Efficient frontier of pit expected value against risk
Ore probability shells at 0.02, 0.5 and 0.98 inside a block model shaded by the probability of being in the pit, with a key
Conservative, medium, risky and deterministic pit outlines over ore probability

Leading Deterministic and Probabilistic Methods

Use the right method at each step, and connect probabilistic results to the deterministic interpretation.

Cross section through a deterministic geological model

Deterministic

Fast, repeatable implicit geological models and calibrated estimates that honor the data and the interpretation. Novel techniques lead to improved characterization of your deposit, from local grade orientation extraction to local search optimization.

Many simulated realizations of geological surfaces

Probabilistic

Simulated realizations of geology and grade that reproduce natural variability and quantify uncertainty at any scale, for drill hole spacing studies, Mineral Resource classification and mine plans that balance value and risk.

How We Differ From Our Competitors

Comprehensive Toolkit

Hundreds of modeling algorithms, from implicit geology to simulation and optimization, all within the Python ecosystem.

Built for Large Models

Designed from the ground up to handle the largest deposits and be optimized across modern parallel processing.

Local Deployment and Cloud

Build a workflow locally, then run it in AMP or your cloud to update models and run hundreds of realizations.

Expert Support

Our resource modeling experts, who blend academic and industry experience, help you customize and verify your workflows.

Is RMSP Right for Your Next Project?
Our team of resource modeling experts provides one-on-one support, training programs and continued software development so you can integrate RMSP into your operation seamlessly.
Thinking of Getting RMSP Training?
Our training courses run RMSP in AMP, so you work through hands-on exercises in the same environment you can later use with your own data.

Contact Us

contact@resmodsol.com
Teams located in:
Canada
  • Edmonton, Alberta
  • Calgary, Alberta
  • Toronto, Ontario
United States of America
  • Denver, Colorado
Australia
  • Brisbane, Queensland
South Africa
  • Johannesburg
Chile
  • Santiago
GeologicAI
Resource Modeling Solutions

Resource Modeling Solutions, a division of GeologicAI, is focused on helping modern mining and environmental companies manage uncertainty and understand geological variability to make the best decisions possible.

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