Listen to the machine.
Bring rotational load, feed pressure, airflow and penetration rate into one view of drilling conditions.
PREDICTIVE SAFETY. UNDERGROUND.
Anticipate drill string jams.
Enable safer decisions.
We’re developing intelligence that reads changing drilling conditions—so teams can recognize risk before a jam puts people in harm’s way.
DESIGNED FOR
the realities of mining.
01 THE CHALLENGE
When groundwater disrupts air flushing, cuttings can accumulate and trap the drill string. By the time the jam is obvious, the response can put operators in the line of fire.
Water ingress reduces flushing efficiency. Drilling signals begin to shift.
Material builds up around the drill string, interrupting the operation.
Fishing and recovery work can expose crews to hazardous interventions.
The opportunity is before the jam.
Give operators an earlier signal to support a preventive decision.
02 THE IMSA APPROACH
One signal rarely tells the whole story. IMSA studies how multiple signals change together over time to identify conditions that may precede a jam.
Bring rotational load, feed pressure, airflow and penetration rate into one view of drilling conditions.
Use temporal machine learning to recognize persistent changes and combinations of signals associated with rising risk.
Translate complex telemetry into a simple visual alert that supports the operator’s preventive decision.
A predictive support layer alongside the operator and existing anti-jamming systems. Machine control remains with the operation.
03 EXPLORE THE CONCEPT
See how a change in conditions could translate into a clearer picture of risk.
Select a state to explore the interface.
Illustrative simulation. These curves explain the concept; they are not live telemetry or model predictions.
Rotational load and airflow remain steady. This example illustrates a low-risk operating pattern.
DESIGN PRINCIPLES
The intended deployment is lightweight, local and compatible with the way teams already work.
Planned inference on embedded hardware, without relying on a permanent internet connection.
Designed to use available machine signals and complement existing equipment without taking control.
Simple visual states that help operators understand changing conditions and make informed decisions.
04 FROM CONCEPT TO FIELD
Our prototype explores predictive models using synthetic drilling data. The next chapter needs real telemetry, field expertise and the right partners.
Synthetic data generation and initial comparison of temporal prediction models.
Work with partners to evaluate anticipation and false alarms using operational telemetry.
Compare predictions with actual drilling conditions without intervening in machine control.
Refine integration and assess adoption across equipment and mining operations.
LET’S MOVE SAFETY FORWARD
We’re looking for mining teams and technical partners
to bring operational insight and real-world data to IMSA.