Presented by: Rick Roberts, Director and Principal Consultant, Petro IT (PODS Board of Directors); Shailendra Verma, AVP-GIS, Petro IT
Resource type: Presentation
About this presentation
Accurate and high-quality pipeline data and records are foundational to the safe, efficient, and compliant operation of pipeline infrastructure. As pipeline networks age and expand, data inaccuracies arising from legacy systems, fragmented workflows, manual data capture, and inconsistent standards increasingly undermine operational reliability and decision-making. This presentation examines the key challenges affecting pipeline data quality across the asset lifecycle — from design and construction to operations and maintenance — and outlines best practices for achieving and sustaining high accuracy. It highlights the role of the PODS data model, digital workflows, governance frameworks, and modern technologies such as automation, validation rules, and integrated platforms in reducing errors and improving traceability. By establishing a single source of truth and embedding quality controls throughout the data lifecycle, operators can enhance compliance, reduce risk, improve asset integrity, and unlock greater value from their pipeline data.
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Presented at the PODS Global Summit 2026, Doha, Qatar, February 12, 2026.