- Main website: https://infrascan.ai/
- Client portal: https://infrascan.ai/clients-portal
- Example monitoring dashboard: https://client3.infrascan.ai/
Introduction
infrascan.ai operates at the intersection of several engineering disciplines – structural monitoring, geomechanics, geodesy, and data analysis. As a result, I inevitably have to work across multiple industries and focus on root causes of infrastructure failures, not just their visible symptoms.
By education, I am a petroleum engineer, which is why it is important for me to speak directly about challenges specific to the oil and gas industry, without generalizations or abstract examples.
While working on this case, I reviewed archived materials, technical reports, and publicly available engineering documentation related to the SOTE pipeline failure in Ecuador. The goal was not to assign blame, but to understand what signals existed before the incident – and why they were not used.
Based on this analysis, I reached an engineering conclusion: if continuous monitoring of ground displacement and its dynamics had been in place along the pipeline corridor, the outcome would likely have been different.
This is not about preventing landslides. It is about early identification of a geomechanical system transitioning into an unstable state and having time for an engineering decision.
The Real Incident: Ecuador, the SOTE Pipeline
In March 2025, the SOTE pipeline (Sistema de Oleoducto Transecuatoriano) – Ecuador’s primary crude oil export pipeline crossing mountainous terrain – was damaged due to landslide activation.
The incident resulted in:
- an oil spill,
- contamination of rivers and surrounding areas,
- a temporary halt in crude exports,
- a force majeure declaration by the pipeline operator, Petroecuador.
The key engineering facts are critical:
- the pipeline was not operating in an аварий mode,
- no critical material defects were identified,
- the failure was caused by ground movement along the pipeline alignment.
What Went Wrong – from an Engineering Perspective
This was not a pipe defect and not an operational error. It was a geomechanical failure.
Mountainous regions of Ecuador are characterized by:
- complex geology,
- high moisture content,
- intense precipitation,
- active slope processes.
Under such conditions, a pipeline becomes part of a geomechanical system, where ground movement directly transfers loads to the pipe.
Even a structurally sound pipeline subjected to ground displacement experiences:
- axial forces,
- bending,
- stress concentration at welds and transition zones.
The Video as a Process Illustration – Not a Failure Moment
The video accompanying this article does not show the rupture itself. It illustrates the process that precedes such failures.
The visualization presents GNSS-based measurements of spatial displacement at a monitored point:
- dX (mm) – longitudinal displacement,
- dY (mm) – transverse displacement,
- dZ (mm) – vertical displacement.
The red trajectory represents cumulative displacement over time, while the blue point indicates the current position.
This is not a simulation or a hypothesis – it is measured ground movement over time.
The Key Geomechanical Insight
The absolute magnitude of displacement is not the most important factor. What matters is how the displacement evolves.
From the trajectory, it is clear that:
- the movement is directional,
- displacement occurs simultaneously along multiple axes,
- the process develops progressively rather than abruptly.
This is a typical signature of a slow-moving landslide transitioning toward instability.
Why Traditional Monitoring Did Not Work
Conventional pipeline monitoring focuses on:
- pressure,
- flow,
- corrosion,
- periodic inspections.
These tools are effective when the problem originates inside the pipe.
In the SOTE case:
- operating pressure remained normal,
- no material defects were present,
- corrosion was not the triggering factor.
The source of risk was outside the pipe – in the ground itself.
How a Geomechanical Process Leads to Rupture
The sequence is almost always the same:
- Slow ground movement begins
- Displacement velocity gradually increases
- Axial and bending stresses accumulate in the pipe
- Local overstressing occurs (often at welds)
- Rupture takes place
The failure is the final point on the curve, not the beginning of the process.
Where This Process Should Have Been Measured
From an engineering standpoint, the critical issue along the SOTE corridor was not a single location, but the distribution of ground movement across the slope.
GNSS sensors should be placed on the ground, not on the pipe, to capture the deformation field:
- Stable reference point Located outside the landslide zone on stable ground. This provides a baseline and removes false motion.
- Upper slope (landslide head) Where acceleration typically initiates.
- Mid-slope zone To track how deformation propagates downslope.
- Lower slope (toe) Often the area of maximum interaction with the pipeline.
- One or two lateral points To define the width and boundaries of movement.
This configuration measures displacement gradients, and it is these gradients – not displacement alone – that generate dangerous stresses in pipelines.
What GNSS Monitoring Provides in Such Conditions
GNSS monitoring enables measurements that visual inspections cannot provide:
- absolute spatial displacement,
- time-dependent behavior,
- velocity and acceleration of movement,
- correlated behavior across multiple points.
This is geomechanics over time – the key to early instability detection.
Where infrascan.ai Fits – Practically
InfraScan does not prevent landslides and does not replace inspections. It enables engineers to:
- detect the onset of unstable movement,
- track acceleration trends,
- identify transitions into dangerous states.
This provides data and time to make engineering decisions before failure, not after.
Conclusion
The SOTE pipeline incident in Ecuador demonstrates a fundamental reality:
Pipelines rarely fail suddenly. Warning signs exist – but they are often outside the pipe.
Ground movement is measurable. Geomechanical instability has a recognizable signature. And that signature appears long before rupture.


