Terminology

AOI (Area of Interest)

A designated area around the pipeline, used to visualize and analyze specific regions relevant to monitoring or inspection activities.

Asset

The customer's infrastructure data, representing physical components such as pipelines, facilities, or other critical resources.

Asset Coverage

The proportion of the asset area that has been successfully monitored by satellite imagery within a delivery.

Asset Section

A defined portion of the customer's infrastructure data, often segmented for analysis or operational purposes.

Average Lead Time

The average duration from when a satellite image is captured to when the resulting insight is delivered to the customer. For a given delivery, we deliver insights multiple times—every time we receive a satellite image covering a piece of the customer asset.

Batch

A subset of a delivery, used when satellite imagery or other data required for the delivery is not available simultaneously. Batches allow for staggered delivery of the requested information.

Campaign

A campaign typically encompasses multiple deliveries (e.g., 26 deliveries) conducted over a specified period (e.g., one year) for a specific asset section. It focuses on a defined area of interest (e.g., 30 meters on each side of a pipeline) and applies a particular risk model (e.g., distance-based) to assess and prioritize findings.

Cases

A collection of related insights grouped based on specific criteria, such as proximity (distance) or similarity in observation types, to streamline analysis and decision-making.

Delivery

A collection of insights, new cases, and updated cases provided on a scheduled delivery date or within a short timeframe around this date. Deliveries may vary in scope depending on the size of the asset being covered.

Insight

An observation or finding made at a specific point in time and location, derived from monitoring or analysis activities.

Risk Model

A framework used to assign criticality levels to insights. These levels are determined based on various factors, such as the type of observation or its proximity to the asset's centerline.