We’ve carefully defined an initial, focused scope for PipelineML. This narrow scope will allow us to complete the standard within a reasonable timeframe while retaining flexibility to collaborate with other standards initiatives in areas of potential overlap. As we identify shared priorities among stakeholders, we anticipate expanding the scope for future versions. A future expansion may include defining standards for exchanging interior and exterior wall anomalies.

For PipelineML 1.0 (see diagram below), we’re deliberately not focusing on centerline or right-of-way definition, recognizing potential partnerships to address those elements. Our priority is defining the core pipeline components, bringing us closer to a digital twin model that accurately mirrors real-world pipeline construction. This foundational approach will maximize the data model’s ability to support a wide range of future business use cases.

Let me know if you’d like any additional adjustments for future releases.

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