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RMSP

The engine for geology modeling, resource modeling and mine planning
Resource Modeling Solutions Platform (RMSP): leading deterministic and probabilistic methods in one automated, fully auditable Python package, ready to run locally, in your cloud or in AMP
S-N cross-section at 150 m E through the assembled geological model, with drill holes flagged by rock type
Geology Modeling
Powerful and probabilistic geological modeling to permit risk-optimal decisions. Automate things that should be, enabling the geologist to provide critical and interactive insights.
  • Built for Complex Geology
    Veins, contacts, offsets and structural trends, assembled into watertight models
  • Fast Enough to Iterate
    A million data points fit in under a minute, so models keep pace with new drilling
  • Uncertainty, Not One Answer
    Simulation extends deterministic models to characterize their uncertainty
  • Checked as You Go
    Built-in k-fold validation rapidly assesses model accuracy
Two simulated gold realizations within the vein, showing equally likely grade distributions
Resource Modeling
Move from data to defensible, reproducible estimates and simulations, with checking completed along the way.
  • Know Your Data
    Exploratory data analysis, capping and contact analysis that guide each modeling choice
  • Estimates For Your Deposit
    Kriging that adapts for your deposit, including local anisotropy, local capping, and local search optimization
  • Uncertainty at Any Scale
    Simulation for drill hole spacing, value of information and classification
  • Reports that Stay Current
    Checks, tables and figures update with every model
Optimized pit cut into topography with the grade model and drill holes
Mine Planning
Carry models and their uncertainty into mine design, for plans that hold up today and adapt as new information arrives.
  • Pits from Your Models
    Ultimate and nested pits optimized directly on RMSP block models
  • Designs that Account for Risk
    Optimize across realizations to balance value and risk
  • Ready for Design
    Pit shells, remaining-rock solids and minimum mining width optimization
Optimized drill holes for three budgets, shaded by budget, over blocks colored by their classification before and after the new drilling
Drill Hole Optimization
Build on existing drilling to design infill programs that convert the most resource for the budget.
  • More Resource per Dollar
    Test several budgets at once and see resource conversion against spend
  • Plans You Can Drill
    Rigs, access, costs with depth and geology are built in, for surface and underground
  • Clear Priorities
    Holes ranked by importance, and manual plans benchmarked against the optimum
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.
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.
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
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
contact@resmodsol.com
Offices located in:
Canada:
  • Edmonton, Alberta
  • Calgary, Alberta
  • Toronto, Ontario
United States of America:
  • Denver, Colorado
Australia:
  • Brisbane, Queensland
South Africa:
  • Johannesburg
Chile:
  • Santiago
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Resource ModelingSolutions
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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