BEASY Corrosion and Fracture Software 40 Years

THE WORLD'S MOST ADVANCED DIGITAL TWIN

Monitor the health of offshore structures and make decision regarding asset health and protection with confidence.

BEASY CP Digital Twin combines robust and proven CP simulation with a user-friendly set of features to offer a comprehensive CP Digital Twin.

Using the information from physics based predictive analytics engineers can identify actions that can affect positive operational changes. Engineers can use Digital Twin based predictive analytics to foresee if a change will help them reduce risks, improve operations, and reduce costs.

At its heart, predictive analytics answers the question, “What is most likely to happen based on my current data, and what can I do to change that outcome?”

UNLOCK THE POWER OF BEASY CP DIGITAL TWIN

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BENEFTIS OF IMPLEMENTING A DIGITAL TWIN

Digital Twin SHM Structural Health Monitoring

Structural health monitoring through integration of inspection data and physics-based 3D simulations

Digital Twin Assess current health and plan for future risk

Assess current health of the structure to predict and plan for future risks

Optimise inspection strategies based on Digital Twin predictions of future health

Determine the ideal design before an asset goes into operation

Digital Twin Trends and Asset Life Predictions

Review trends and asset life predictions

Predict the protection provided to an asset

Assess interference from nearby protection systems

Digital Twin Evaluate Design Options Performance

Evaluate the performance of design options

Next Generation Predictive Analysis

Improving the efficiency of planning, maintenance, and communication are the aims of any corrosion control system. With BEASY CP Digital Twin, engineers are able to integrate corrosion data with a simulation model, allowing them to easily and systematically monitor the difference between the model predictions and system data, identify anomalies, and provide early identification of problems which will soon require attention.

Engineers can use these predictive analytics to foresee if a change will help them reduce risks, improve operations, and/or reduce costs. At its heart, predictive analytics answers the question, “What is most likely to happen based on my current data, and what can I do to change that outcome? ”Integrity engineers can react to anomalies based on the insights obtained from the digital twin, and make sure the structure remains polarised.