Integrating Geospatial Intelligence for Proactive Geohazard Management
Understanding the interaction between pipelines and their surrounding environment is essential for effective integrity management. Slope instability,...
3 min read
Sheri Baucom : Updated on April 2, 2026

Understanding the interaction between pipelines and their surrounding environment is essential for effective integrity management. Slope instability, seismic activity, flooding, and soil movement can all impose external stresses that compromise pipeline performance and safety. Historically, these environmental datasets have existed in isolation from integrity systems, limiting an operator’s ability to assess how external conditions influence pipeline integrity.
Historically, environmental datasets and integrity systems have evolved independently. Operators may have access to high-quality geotechnical or environmental data, but these datasets are often reviewed in separate tools and workflows. As a result, identifying where environmental hazards intersect with pipeline conditions is a manual, time-consuming process.
A key driver for this work was collaboration with operators managing pipelines in diverse, high-risk environments.
SMUD operates gas pipelines in regions exposed to seismic activity, slope instability, and wildfire risk. Their team needed a more efficient way to correlate environmental hazards with integrity data and understand where those threats intersected with pipeline assets. Their focus was on consolidating data sources, improving visibility, and enabling faster identification of areas of concern. This led to early work on integrating external datasets, such as seismic, slope, and fire data, with pipeline alignment and evaluating those conditions against asset location.
A South American pipeline operator and current Irth client faced a related challenge from a workflow perspective. Their team was spending significant effort manually reviewing geohazard information across multiple systems and translating that into actionable insights. The need was less about access to data and more about structuring how that data could be evaluated consistently. Initial work focused on defining user workflows for identifying geohazard-prone locations, tracking observations, and improving site prioritization for further investigation.
These use cases reinforced the same core problem: the data existed for assessing geohazards, but it was not connected in a way that supported efficient decision-making.
The initial phase of the Geohazard Management module focuses on integrating and visualizing data.
Key capabilities include:
Figure 1 (Left:) ROW inspection data integration. Figure 2 (Right): Visualizing bending strain data


While data integration and visualization are important first steps, the value comes from enabling engineers to answer more meaningful questions:
Today, many of these assessments rely on manual interpretation across multiple systems. Aligning datasets within a single environment reduces that effort and improves traceability in how decisions are made.
Geohazards rarely act in isolation. Pipeline performance is often influenced by a combination of factors, such as ground movement, soil conditions, and operational stresses.
Phase I establishes the foundation for a more structured evaluation of interacting threats, in which integrity data, environmental conditions, and spatial relationships can be assessed together. A key area of focus will be identifying anomalies (corrosion, dents, cracks, etc.) in geohazard-prone areas, helping engineers better understand where environmental conditions are actively affecting the pipeline.
Figure 3: Visualizing geohazard-prone areas as polygons along the pipeline.

With data now aligned across integrity and environmental sources, the focus shifts from visualization to more structured analysis. Future work will improve the detection of pipeline–geohazard crossings, standardize the evaluation of geohazard exposure, and support more consistent prioritization of locations for further assessment. More advanced analytical methods will be introduced where appropriate. The overall objective is to give engineers a better context for decision-making while reducing the manual effort required in the assessment process.
Effective geohazard management depends on how well data fits into existing workflows across engineering, field operations, and compliance. This work focuses on creating a more connected environment in which field observations, environmental datasets, and integrity results can be reviewed together in the same spatial context. Grounding development in real operator workflows helps ensure these capabilities are practical and usable in day-to-day decision-making.
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