Predict and Mitigate Erosion, Efficiently Manage Synthetic Data, Deploy Physics Informed AI/ML models

Identify erosion hotspots and insure you do not miss them during routine inspections. Increase monitoring frequencies based on reliable models and CFD data.

Poor sand management can lead to severe erosion and operational inefficiencies. By predicting erosion impacts and developing effective sand management strategies, it will lead to better management of the overall process.

The lifetime of the pipeline is directly related to an accurate prediction of erosion and managing it. By optimizing the inspection and maintenance schedule, the pipeline systems can provide smooth operations for a long time while optimizing the operations cost.

PDF reports and PowerPoint slides are static and hard to navigate. Extracting and digitizing simulation datasets, curating and storing them with the option to search and extract more information on demand, dramatically extends the life of simulation data and makes it dynamic.

Convert simulation data into reduced order models and publish Apps to enable decision support. These instant models enable quick analysis and decisions.

Merge Synthetic data with historian data and generate ML or PINNs which can then be published through a Web Platform for enterprise access.