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Kpler LNG Bunkering Methodology

Kpler LNG Bunkering Methodology

Delivering Transparent, Enriched, and Actionable Bunkering Insights

Charles Bozik avatar
Written by Charles Bozik
Updated over a week ago

Overview

Kpler's LNG Bunkering methodology is designed to provide accurate, real-time insights into global LNG bunkering activity. By leveraging proprietary data pipelines on ship-to-ship events, structured processes, and layered enrichment logic, our reports empower market participants with the clearest picture of LNG bunkering supply chains—past, present, and future.


Step-by-Step Methodology

1. LNG-specific Data Collection (LNG BV port calls)

  • What Happens: We initiate data pulls from Kpler’s LNG Port Calls APIs. These APIs feed into our staging environments, capturing global LNG BV activity and port calls.

  • Why It Matters: Ensures real-time visibility into vessel movements and port activity, with no duplication.

2. Non-LNG specific Data Collection (Event Extraction & Enrichment)

  • What Happens: Raw bunkering and proximity events are extracted from Marine Traffic. Descriptions are parsed, cleaned, and enriched with vessel metadata (e.g., capacity, type, owner, charterer).

  • Why It Matters: Acquisition of data for non-LNG receiving vessels is key to assess LNG bunkering on the demand side. Then, structured and clean metadata is the foundation for accurate bunkering event analysis.

3. Validation & Filtering

  • What Happens: Events are paired, missing values defaulted, and invalid records excluded. Each operation is cross-referenced with AIS tracks and terminal data.

  • Why It Matters: This guarantees data integrity and relevance by removing false positives and ensuring coverage.

4. Historical Backfill & Merging

  • What Happens: Historical bunkering events are harmonized with current observations, ensuring no overlap or duplication. Role reversals (e.g., loading/discharge) are accounted for.

  • Why It Matters: Offers a complete, backward-compatible dataset with unmatched granularity.

5. Data Quality Assurance

  • What Happens: Flag missing vessels/zones, validate operations types, and ensure logical estimates for bunkering volumes.

  • Why It Matters: Identifies anomalies and supports continuous data refinement.

6. Report Generation

  • What Happens: Cleaned and enriched data is structured for reporting. Key metrics include volume trends, top zones, supplier activity, main players, and fleet utilization.

  • Why It Matters: Provides stakeholders with raw datasets, intuitive dashboards and downloadable PDFs ready for executive briefings.

7. Continuous Update & Maintenance

  • What Happens: New vessels, installations, and events are added continuously. Orderbooks and dynamic fields are maintained monthly.

  • Why It Matters: Keeps insights fresh and aligned with real-world developments.


Key Metrics Delivered

  • Top Bunkering Zones by volume and activity

  • All Bunkering Events by vessel type and location over time

  • Fleet Utilization per month

  • Vessel Orderbook Trends by build year

  • Supplier and Ownership Rankings across vessel types types


Why this methodology for Kpler's LNG Bunkering?

  • Depth: Combines real-time and historical data with vessel-level granularity.

  • Complexity: pairs non-LNG and LNG-related datasets to create a unique dataset.

  • Completeness: global coverage for an exhaustive view of the LNG bunkering market.

  • Accuracy: Multi-step validation ensures clean, trustworthy insights.

  • Flexibility: Built to scale across new vessels, ports, and use cases.

  • Actionable Outputs: Currently delivered in report, ready for strategic or operational decision-making.

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