AMPP 2024 served as the stage for BEASY Ltd. to introduce its latest advancements in digital twin, a powerful solution designed to enhance asset management, optimize designs, and extend the lifespan of electrolyte submerged structures. During an exclusive interview with Esteban Amirante, International Business Development Manager, the company detailed how this next-generation technology is revolutionizing the industry.
A smarter digital twin for asset management
BEASY Ltd. presented a significant evolution of its digital twin with AI, integrating machine learning and predictive analytics. This is a system that the company has been developing for more than 10 years and is specialized in cathodic protection systems. This technology enables companies to reduce costs, improve structural integrity, and streamline maintenance efforts by simulating real-world conditions and predicting potential failures before they occur.
We came with an updated and more powerful digital twin, to which we have added artificial intelligence, machine learning, and obviously it is the great solution to manage assets, optimize designs and obviously to extend the useful life of this type of assets, maintaining integrity, reducing costs and increasing the effectiveness of resource management.
Esteban Amirante.
Optimized for electrolyte submerged structures
The company’s digital twin is specifically designed for electrolyte submerged structures, including offshore platforms, buried pipelines, and subsea installations. By leveraging advanced corrosion modeling and cathodic protection systems, the software offers unparalleled accuracy in predicting asset degradation.
Basically, they are structures that are submerged or buried in an electrolyte, whether it be seawater, soil, sand, rock, all those types of structures that are submerged in that type of electrolyte, we can manage them with the digital twin.
Esteban Amirante.
Proven success: The North Sea case study
BEASY Ltd. highlighted a remarkable case study in the North Sea, where its digital twin with AI delivered substantial cost savings for an offshore wind farm. The project involved the inspection of 400 monopiles supporting wind turbines, each requiring a traditional survey cost of $50,000 per unit, totaling $8 million.
The company strategically selected the 25 most representative monopiles, analyzed their corrosion patterns, and extrapolated results for the remaining 375 structures. This optimized approach reduced inspection costs to just $1.25 million, saving nearly $6 million in operational expenses.
Paving the future for offshore infrastructure
As the oil & gas and renewable energy sectors continue expanding, BEASY Ltd. is committed to pushing the boundaries of digital twin with AI. By enhancing cathodic protection systems and corrosion modeling, the company is helping industries achieve cost-efficient, sustainable, and high-performance asset management solutions.
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Source and photo: Inspenet.