ADNOC Logistics & Services

ADNOC Logistics & Services manages offshore support vessel operations across multiple Abu Dhabi oilfields simultaneously, including major developments such as Hail and Ghasha islands and the Al Omairah project in the Lower Zakum area. With ADNOC targeting 5 million barrels per day production capacity by 2027, the logistical burden on the fleet was intensifying rapidly. Vessel deployment, route planning, and cargo consolidation were managed separately for each oilfield, creating siloed scheduling, redundant voyages, and underutilised deck capacity. In a market where DP2 vessel day rates had doubled to US$5,000–$6,000 per day over two years, each unnecessary vessel deployment carried direct and compounding cost — and the fragmented, field-by-field approach made fleet-wide optimisation structurally impossible.

ADNOC L&S developed an in-house AI platform for integrated logistics management spanning all Abu Dhabi oilfields as a single unified network, rather than optimising each field in isolation. The system applies machine learning and predictive analytics to vessel deployment scheduling, multi-stop route planning, and cargo consolidation — dynamically treating the full fleet as one coordinated resource pool. A critical infrastructure enabler was the installation of VSAT and Starlink satellite connectivity across all owned vessels, providing the real-time data pipeline required to feed AI models with live vessel positions, machinery performance telemetry, and fuel consumption readings. This connectivity layer allows the platform to continuously reoptimise dispatch decisions as operational conditions evolve. The solution was built internally without a named third-party vendor, reflecting ADNOC L&S's deliberate strategy of investing in proprietary data infrastructure to maintain long-term control over operational outcomes.

The AI logistics platform delivered 15%–20% fleet efficiency improvements, enabling ADNOC L&S to move more cargo across its oilfield network using fewer vessel deployments. In a market where DP2 day rates had already risen to US$5,000–$6,000 — double the level from two years prior — each reduction in redundant vessel usage translates directly into material cost avoidance. Beyond scheduling, the VSAT/Starlink data layer now provides continuous machinery performance monitoring and fuel tracking across the owned fleet, adding operational visibility that compounds the scheduling gains over time.

• 15–20% fleet efficiency improvement, fleet-wide
• US$5,000–$6,000/day DP2 vessel day rates — the cost context that makes each efficiency point significant
• 5M barrels/day ADNOC production target by 2027, which the optimised logistics chain is designed to support

• Optimise logistics across the entire oilfield portfolio simultaneously — field-by-field approaches miss the compounding gains available from network-level cargo consolidation and shared vessel deployment.
• Real-time satellite connectivity (VSAT or Starlink) on every vessel is a non-negotiable prerequisite before deploying AI-driven fleet optimisation at scale; without live telemetry, models are flying blind.
• Pool-based operating models paired with multi-year contracts (ADNOC L&S targets five-year terms) stabilise supply chains and create the investment certainty vessel owners need to maintain fleet quality.
• Building AI logistics capability in-house, backed by proprietary data infrastructure, creates integration depth and long-term control that third-party platforms typically cannot match at enterprise scale.