A geologic simulation engine for a new era of resource development
From initial data collection, to drilling, to production.
Capabilities
General
03
Probabilistic 3D subsurface modeling
Generate thousands of geologic or reservoir models with varied structure, lithology, and rock properties, conditioned to all available data and to your geologists’ interpretations.
Uncertainty quantification
Measure confidence in geologic or reservoir properties at every point in the model ensemble. Value-of-information analysis shows which new data would most change a decision.
Development optimization
Recommend the next best action at every stage, such as drill targets, geophysical surveys, well placements, or field development plans, to meet project objectives across the model ensemble.
Mineral systems
04
Target and drill optimization
Rank prospects and drillholes against project objectives and thresholds for size, grade, and value. Models update with new drill results within days, so targeting can adjust as the program progresses.
Resource estimation
Estimate grade and tonnage ranges with M/I/I classification based on quantified confidence, through auditable workflows designed for Qualified Person review under NI 43-101, JORC, and S-K 1300. Generate grade-tonnage curves, resource distributions, and geochemical analyses for any domain, such as a structure, target corridor, pit shell, or stope.
Mine planning and economics
Test mine designs and project economics against a full range of possible orebodies to protect capital before commitment.
Asset diligence
Give investors, lenders, and acquirers a probabilistic assessment of a project’s resource and economics when evaluating a technical report.
Reservoir systems
03
Fast flow simulation
Run reservoir simulations on the full model ensemble 100,000x faster than conventional simulators so forecasts cover the range of reservoir outcomes.
History matching
Generate thousands of structurally and petrophysically varied models that each match production, well, and pressure history to improve confidence in volumes and storage capacity.
Field design optimization
Optimize field development plans, well placement and controls, infill wells, injection, and monitoring design against probabilistic NPV across the model ensemble.
Highlights
1
Terra’s AI geological modeling and drill planning defined more mineral tons, with less drilling than conventional methods.
REE
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Late stage
2
Terra’s AI modeling ingested decades of drilling and geophysics data to identify ~5 Mt of high-grade ore to extend the existing resource. Targets were confirmed by drilling and are now in production.
Copper
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Mine extension
3
Probabilistic geological modeling for early resource estimation and drill target generation that was validated in a blind back-test against a world-class exploration campaign.
Copper
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Late stage
4
Designed a well pattern for injecting CO₂ into a deep reservoir for long-term storage that improved over the conventional pattern by simultaneously reducing risk and improving revenue.
CCS
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Deepwater
