May 21, 2024

7Seas: Your MetOcean data analytics solution for offshore operations

Example of a graph that presents the variation/spread in the monthly average of wind speed.

Summary

In offshore operations, precision and accuracy are paramount.

Planning and executing marine operations, particularly in the realm of offshore windfarms, demand meticulous attention to meteorological and oceanographic (metocean) conditions. This is where our latest innovation, 7Seas, comes into play.
7Seas is a comprehensive metocean data analytics platform meticulously crafted to cater specifically to the needs of planning marine operations, particularly those associated with offshore windfarm installation, operation, and maintenance. Whether you're a seasoned industry player or a newcomer navigating the waves, our 7Seas web service offers a suite of tools designed to empower your decision-making process.

Let's dive into its key features:
Tailored Metocean insights: 7Seas provides a tailored experience, offering a wide range of metocean data insights aligned with your project's requirements. From wind and wave rose plots to surface current tables, we've got you covered with the information you need to make informed decisions.

Rose plots examples for the direction of 10m wind speed and for the direction of significant wave height. The frequencies are for the fourth quarter (October, November, and December). The data is valid for a position in the central part of the North Sea.

Example of a table for the frequencies of 10m wind speed and direction for the fourth quarter - shown in percent. The data is valid for a position in the central part of the North Sea.

Comprehensive data sets: With access to monthly means, percentiles, and weather window calculations for various meteorological and oceanographic parameters such as wind speed, significant wave height, swell height, surface current, temperature, precipitation, and humidity, 7Seas equips you with the comprehensive data sets necessary for thorough planning.

Example of a graph that presents the variation/spread in the monthly average of significant wave height. The yellow line marks the median monthly mean wind speed, whereas the top and bottom of the green box presents the 80th percentile and 20th percentile, respectively. The top and bottom bars present the maximum and minimum monthly mean wave height in the data set. The data is valid for a position in the central part of the North Sea.

Weather window calculation example. The weather window probability is calculated as the likelihood of encountering a weather window with the required window length, starting at any hour within the month in question. The weather criteria for this example are: 10m wind speed = 12.00 m/s ; Significant wave height = 1.50 m ; Window length = 6h . However, you can easily change the parameters, thresholds, and window length.
The P50 value is the medium probability of a weather window. The probability of a weather window varies year-to-year in the data set and the P80-value represents a year with worse weather conditions than the median value, where 80% of years will have a higher likelihood for weather windows for the specific month. The data in this example is valid for a position in the central part of the North Sea.

Joint probability table example. The calculated values are the joint probabilities for significant wave height and peak wave period for one of eight bins of mean wave direction. This data is for 180-225 degrees – e.g. from south to southwest. The frequencies are normalized, which means that the frequency is the number events within a specific bin for both significant wave height, peak wave period and mean wave direction – compared to all events for all mean wave directions. The calculated frequencies are small values due to the large number of bins. Therefore, the values are presented as per mille [‰], i.e. 1/10 percent. Note that the highest value bins for peak wave period and significant wave height have been chosen from the maximum values found in the data set for all direction, not for each directional bin. The data is valid for a position in the central part of the North Sea.

Validation, quality assurance and ramp up/ramp down analysis
We understand the importance of data validation and quality assurance. That's why 7Seas allows customers to incorporate their measurement data, facilitating a validation process to ensure the accuracy and reliability of the hindcast data and analytics.
The 7Seas platform also conducts a thorough ramp up/ramp down analysis (the timing of increasing/decreasing winds and rising/falling wave height), validating calculated weather windows and providing insights into how well the hindcast model will perform during project execution. This feature requires local measurement data from the customer.
While the standard setup utilizes global ERA5 hindcast data and HYCOM surface current reanalysis data, 7Seas offers flexibility. Customers can opt for higher resolution regional or local model setups tailored to their specific needs.

Why choose the 7Seas web service?
Choosing 7Seas isn't just about accessing metocean data; it's about gaining a competitive edge in the dynamic world of offshore operations. With our tailored insights, comprehensive data sets, and commitment to validation and quality assurance, 7Seas empowers you to make informed decisions, mitigate risks, and optimize project outcomes.
Whether you're planning the installation of a sea cable or optimizing maintenance operations, this platform is your trusted companion every step of the way.
Stay ahead of the curve with 7Seas – your reliable and easy to use data analytics solution for offshore success. Get in touch with us at sales@ventomaritime.dk to learn more about how our web service can transform your marine operations. You can even have a free 14-day trial to check it out.

Links