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Offshore walk-to-work (W2W) operations in the North Sea are increasingly challenged by rising operational costs, ambitious emission-reduction targets, and a growing shortage of skilled maintenance personnel. While W2W vessels have become an established solution for offshore access, traditional operating concepts – based on frequent port returns for crew rotation and resupply – result in significant idle time, reduced offshore productivity, and avoidable emissions. Servicing W

Predicting vessel motion accurately is critical for offshore operations, especially during crew transfers and heavy lifting tasks. Unexpected vessel movements can jeopardise safety, delay schedules, and increase operational costs. Recent advances show that using vessel hull dimensions combined with design parameters to calculate displacement Response Amplitude Operators (RAO) and wave spectra offers promising results. This approach helps offshore professionals anticipate vess

Servicing walk-to-work vessels efficiently remains a critical challenge in offshore operations. These vessels require timely and reliable support to maintain high hands-on-tool time while controlling costs. One approach gaining traction is pooling supply vessels to service walk-to-work vessels. This strategy not only improves operational efficiency but also delivers significant cost savings. This post explores how sharing resources and combining vessel types through pooling s

Weather and sea conditions are critical factors in offshore supply operations, especially when managing platform supply vessels (PSVs). Operational teams often face challenges due to misinterpretation or incorrect judgment of forecast data. These errors can lead to inefficient planning, costly delays, and increased safety risks. Given that vessel logistics can account for up to 30% of total operational expenditure (OPEX) in offshore projects, particularly in demanding environ

Case Studies on Regression Modelling of Hull Resistance and the Use of a Third-Party Drop-In Enzyme Additive in Fuel 1. Hull Resistance Regression Modelling Hull resistance regression modelling is essential in naval architecture and marine engineering for predicting the hydrodynamic resistance of ships. The following case studies illustrate the application of regression models in hull resistance analysis: Case Study A: Predictive Modelling of Hull Resistance Objective: To dev

Offshore platform supply vessels face unpredictable weather that can disrupt schedules and threaten crew safety. Traditionally, vessel planning relied on weather forecasts and operational requests, focusing mainly on significant wave height and wind speed. But these factors alone do not capture the full picture of vessel motion and workability alongside platforms. During 2022 and 2023, a project explored whether machine learning could use vessel operational data to predict wo