27 April 2021
Self-reflection is a powerful tool used by top executives through to sports coaches to identify areas that can be improved and set-in place new ways of working to deliver better results in the future. The same is true for operators of offshore facilities, once the proverbial dust has settled from the extreme winds and weather conditions of hurricane season, it is time to review and plan for next year.
While operators are rightly concerned with the narrow field of data surrounding the days either side of an extreme weather event, taking a longer-term view of the entire season and looking at trends over several years is important to identify trends that can reduce costs.
As part of post hurricane season analysis, it is important to collect and validate measurement data from monitoring systems. Not all platforms transmit data during hurricanes, certain platforms have data transmitting during the hurricanes via satellite, while others use fiber optic networks. Soma Maroju, Head of Data Services at BMT explains.
“What we typically do is look at all the data that has been transmitted to ensure that we have good data sets collected during these extreme events. While we advocate that systems are checked ahead of the season and that the sensors are calibrated periodically, achieving 100% reliable measurements is not possible, or instrumentation may become damaged during the season that can produce invalid data. Thus, it is important that the data we are incorporating into long term and historical data sets are qualified.”
One of the key benefits of remote operating systems is the ability to identify structural integrity of offshore structures. This enables operators to make repairs and ensure safe operation. Damage can either be a sudden, and identified immediately after a hurricane, or it can be longer term fatigue identified by analyzing long term trends in data, Soma explains.
“It's interesting to notice as the storm passes by how structures respond, whether floating in deep water or fixed in shallow. They sway with the wind, waves and current. Data collected before, during and after a hurricane, when adjusted for weather conditions, can reveal damage to the structure. Several years ago, we noticed on a particular platform that a temporary structure fell off during the storm. There was a big change in the vessels list and trim, and there were huge increases in the acceleration of the platform. This was then validated using imagery from the remote monitoring systems cameras. By bringing information together from multiple sources, the team of engineers were able to identify what happened.”
The data collected during the season, both during and in between extreme weather events becomes very useful for long term trends and for evaluating how the structures have performed. Asset managers can assess the performance of the platform against the design guidelines and identify any fatigue.
Soma said, “By building a data platform which solves the problems of collecting, managing, and storing vast amounts of data, processing trillions of data points, while enabling collaboration among various teams, we’re unlocking possibilities for insights. The technology around data transmission has improved. The way we organize the data has made it readily accessible, processing capabilities have expanded. All of this allows us to go and look at massive amounts of historical as well as the current data to derive trends from the data and try to advise our clients on what patterns we are observing from the data”.
These are just a few ways how BMT can help our clients post hurricane analysis around structural integrity to extend the life-span of some structures, risers or topside equipment.
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