Metis

Solve Any Offshore Logistics Problem

Metis revolutionizes offshore wind installation logistics by combining advanced simulations with our vast offshore experience.

Cut costs, streamline operations, and eliminate risks before they happen.

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Enable your project

In the complex world of offshore wind installation, strategic planning and precise execution are the keys to success. We have used Metis to perform constructability analyses for clients and these planning simulations have enabled and enhanced the development of risk-averse and cost-effective offshore wind farm installation strategies that can be used for bids and planning.

Improve and optimise

Unexpected delays during the installation of offshore wind farms can result in financial and operational issues. By improving and optimising offshore wind installation strategies, Metis can determine whether relationships between simultaneously occurring operations will hinder and delay or be smooth sailing.

De-risk installation

We think about weather, visibility, available yards and their capacity, number of required transportation assets, start of intermediate transport, monohull vs. SSCV installation vessels, feeder or shuttle solutions, Jones Act compliant vessel availability, and associated costs, amongst more depending on the project specifications.

Metis Facts & Figures

90%

Offshore experienced engineers

71

Projects succesfully executed

15

Different end-clients

4.8/5

External client rating

Metis in a nutshell

Why use Metis?

Gain insight into the project execution durations, costs, and risk to prepare a reliable offshore wind bid or installation strategy.
Optimise your offshore wind project execution strategy, for risk, cost and duration.
Understand how unexpected events could impact your offshore wind construction strategy to mitigate at an early stage.
Fully customisable to what your projects needs.

Key features

Simulate multiple assets with parallel and interdependent activities, to determine any risks or showstoppers.
Assess the effect of simple or dynamic weather limits on the offshore workability, to assess whether weather limitations will effect project duration.
Simulate many options to find the best T&I approach.
Find bottlenecks and solutions through sensitivity analysis.
Quantify costs and emissions throughout the project to develop a robust offshore wind installation strategy.

Metis services

Metis reports

Traditional consultancy

Complete logistical analysis performed by HES
Based on extensive experience
Strict quality control
Complete report

Metis Dashboards

Dynamic solutions

Pre-programmed logic
Easy-to-use
Run simulations
Fully customizable

Metis API

Calculate your own solutions

Full flexibility
Entry level python programming
Custom post processing
HES programming support

Find out what impacts your project

The interactive plot on the right is an example of the output we produce to find out how decisions can impact your offshore wind project.

This example shows that starting in the right season has a significant impact on the expected weather down time.

But not only the expected weather downtime is important. Aspects such as daylight restrictions, whale encounters, and breakdowns can be just as important. Metis has been purposely designed to include such aspects.

Tailored to your needs

One key feature of Metis is the framework's customisability. Each client has diverse needs, and each project has differing variables that could affect its success.

We help clients gain insights into the project execution durations, costs, and associated risks. By analysing these insights, HES optimizes the project execution strategy for cost, risk, and duration which reduces CAPEX and OPEX for clients, while ensuring regulators are satisfied with robust and well-planned projects that can be delivered in a timely manner.

The Metis report service offers consultancy that demonstrates what scenario will minimise costs, as well as which scenario will result in the most robust and low-risk plan to ensure timely completion of the project.

See an example