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UAV-Based Bathymetry Supports Ongoing TSF Pond Monitoring at Oyu Tolgoi Mine

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Integrated Systems
UAV-Based Bathymetry Supports Ongoing TSF Pond Monitoring at Oyu Tolgoi Mine
April 30, 2026

Since 2025, Best Survey’s team has been conducting UAV-based bathymetric surveys at a water pond within the tailings storage facility at the Oyu Tolgoi mine in Mongolia. The surveys are used for water level monitoring enabling safe, remote data collection across the pond area of approximately 15,000 m².

Quick Facts

Background: Monitoring Requirements in Tailings Storage Facilities

As part of their work at the Oyu Tolgoi Mine, Best Survey’s team regularly conducts monitoring activities within the tailings storage facility.

Water bodies in TSFs require regular surveying to support water level monitoring,understand depth distribution, track changes over time, and support operational decision-making. Consistent bathymetric data is important for managing water levels, assessing capacity, and identifying potential risks such as uneven deposition or sediment accumulation.

In large-scale mining operations like Oyu Tolgoi, these tasks are part of routine site management and require reliable, repeatable survey methods.

View of a water pond inside a tailings storage facility with surrounding embankments and a drone visible over the water
Water pond within the tailings storage facility at Oyu Tolgoi mine

The Challenge: Limitations of Traditional Bathymetric Surveys in TSFs

For monitoring this pond, conventional bathymetric surveys using crewed boats or USVs were not suitable, as there was no safe deployment point for a vessel of any size within the tailings storage facility. This limitation directly affected how surveys could be performed:

  • Personnel exposure to risk: Boat-based surveys require personnel to operate from a vessel, which can increase exposure to site-specific risks.
  • Limited accessibility: Certain areas of the pond may be difficult to reach due to shallow zones, geometry, or operational restrictions within the TSF.
  • Operational complexity: Deploying and managing a boat adds logistical overhead, particularly in controlled industrial environments.
  • Inefficiency for repeat surveys: Regular monitoring requires repeated mobilization, making traditional workflows less flexible over time.

Given these constraints, Best Survey needed an approach that would allow them to continue monitoring activities while reducing direct interaction with the water body.

Solution and Results: UAV-Based Bathymetric Survey Workflow

To address these challenges, Best Survey implemented a UAV-based bathymetric survey workflow for data collection within the TSF.

The DJI M350 RTK drone was equipped with an SPH Engineering bathymetry kit with ECT D052S echo sounder and deployed over the pond, where it collected depth measurements along predefined survey lines. The system is operated remotely, allowing the survey team to remain outside the survey area throughout the mission.

Drone with an echo sounder and field setup in a mining environment
UAV equipped with SPH Engineering's echo sounder payload prepared for bathymetric survey in Oyu Tolgoi Mine

This workflow allowed the team to perform surveys without deploying boats, simplifying field operations and reducing exposure to site-specific risks. Thanks to UgCS flight planning software, data collection was carried out along structured survey lines providing consistent coverage of the monitored area.

Drone flying with an echo sounder over a pond during a bathymetric survey
UAV collecting bathymetric data over the water pond during survey operations in Oyu Tolgoi Mine
UgCS interface showing planned survey grid and real-time sensor data during bathymetric mission
Mission planning and survey execution using UgCS

As a result, the drone-based approach provided:

  • Georeferenced bathymetric maps showing depth variation across the pond
  • Safe data collection without water access
  • A workflow aligned with ongoing monitoring needs
Color-coded bathymetric map with measured depth values generated from UAV survey data
Bathymetric map generated from UAV-based survey data showing depth distribution

Conclusion

The project demonstrates a practical implementation of UAV-based bathymetry for TSF water level monitoring. The workflow supported structured data acquisition and reduced the need for vessel-based operations.

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