TerraWaves Uptime Demo

Transcript

In this video I will demonstrate a simple uptime calculator using TerraWaves. The calculator estimates monthly uptime using historical weather from a 24 year database.

The histogram displays uptime in days, over a 12 month period.

You can interactively determine the uptime associated with any set of weather limits. In this simple demo, the user can set the Significant Wave Height, 10 metre Wind Speed and Peak Period.

The default settings show weather limits typical for survey work offshore.

Clearly, under these limits, the best conditions are to be obtained from the months of March to September.

The worst conditions are experienced in late Autumn and Winter, with just 18 days of uptime expected in December.

Notice the sharp drop in uptime going from September to October and conversely, the sharp improvement from February to March.

Clearly, we want to plan our operations to take place from March to September.

Can we use the simple uptime calculator to gain deeper insight into the weather?

For example, we if we decrease our weather limit for Significant Wave Height to one metre. The decrease in uptime is significant during the winter months, but with there is little impact for April to September.

Similarly, decreasing the peak period we can tolerate from 8 to 6 seconds causes uptime to decrease drastically, going from September to October. This dramatic shift in uptime is due to the fact that this location is affected by longer period swell waves during that period. The weather improves only gradually over the early part of the year , with the best conditions being from June to September.

We can explore the effect of wind on downtime by resetting the Wave and Period limits

and increasing the wind speed limit to 30 knots, the uptime does not change at all, so we can conclude that increasing our tolerance to wind speed would not be of much help.

So, by using the uptime calculator we have gained some deep insights into the weather at this location:

  1. Firstly, we know that the very best working conditions are to be obtained from June to September, with the weather deteriorating sharply after September.
  2. Secondly, acceptable working conditions are to be obtained in Spring, but during this period, longer period swell waves can affect our operations.
  3. Lastly, we know that swell peak period has the greatest influence on uptime, followed by wave height, then wind speed.
These insights have a direct impact on operational planning.

In conclusion, with this simple demonstration, we hope to have shown you that interacting with historical weather data can provide valuable insights to the offshore industry.

We would really like to know what you think.

Write to us at info@terra-weather.com or visit our website.


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