As regulatory expectations continue to evolve, operators are under growing pressure to ensure that critical pipeline records are Traceable, Verifiable, and Complete. The first major Gas Mega Rule TVC milestone is approaching, and new regulatory alternatives, including class location-related requirements, continue to reinforce the need for reliable, accessible, and complete pipeline data.

In this PODScast, Magnolia River will explore how operators can use PODS, Power BI, and field data to identify TVC gaps, prioritize remediation, and build a path toward compliance. Attendees will learn how a simple reporting layer can provide visibility into what data is complete, what remains unresolved, and where field-based follow-up may be needed. Magnolia River will also share how a recent client request led to the development of practical processes for gap remediation, field document collection, and data update workflows.

This session will help operators think beyond gap identification and begin planning how to close those gaps using the people, processes, data models, and field resources they may already have in place.

• TVC is no longer a one-time records exercise. Regulatory expectations increasingly depend on data quality, traceability, accessibility, and geospatial context.

• Operators need visibility before they can remediate. Power BI can provide a practical, accessible view into PODS data to show where TVC gaps exist and how much work remains.

• Gap closure requires more than a dashboard. Operators often need follow-on support to locate missing records, scan documents, validate data, update PODS, revise procedures, and connect field findings back to the enterprise data environment.

• Field data capture is becoming more important. Opportunistic field work, digs, construction activity, and field verification can all become opportunities to close TVC gaps when the right workflow is in place.

• Magnolia River can support the full remediation lifecycle. The company can help operators identify gaps, develop remediation plans, support field data capture, and assist with data updates and documentation workflows.