Jackie Smith of ROSEN shares how GIS can be integrated with other data to strengthen pipeline integrity programs. Learn how to support an Integrity Management System, analyze key data, navigate structured vs. unstructured data, and use data more effectively to reduce risk and meet PHMSA requirements.

From Maps to Models: A Data-Driven Future

GIS has long been a foundational tool in the pipeline world, allowing operators to visualize assets and geography with accuracy. But Jackie explains how its role is expanding beyond traditional mapping. Today, GIS integrates complex datasets, supports advanced analytics, and feeds machine learning models that predict issues before they happen.

Data science complements this by turning vast amounts of pipeline data—from inspections, sensors, and operations—into actionable insights. This combination allows teams to not only detect problems sooner but also prioritize repairs based on risk and location.

Collaboration Across Disciplines

One of the episode’s key takeaways is that pipeline integrity is no longer just the domain of engineers or GIS professionals. It’s a cross-disciplinary effort. Data scientists, GIS analysts, integrity engineers, and field technicians are coming together to build smarter systems that protect public safety, reduce environmental impact, and extend asset life.

Why This Matters

As regulations grow stricter and stakeholders demand more transparency, companies can’t afford to treat GIS and data science as optional tools—they’re essential. Organizations that embrace this integration are better positioned to maintain compliance, optimize maintenance budgets, and mitigate risk.

🎧 Tune in now to hear Jackie’s insights on how the pipeline industry is harnessing GIS and data science to strengthen integrity efforts.

Listen to Jackie Smith share her insights on the Pipeline Technology Podcast:
👉 Click here to listen to the full episode