CORROPIPE

CORROPIPE aggregates pipeline corrosion prediction data generated by AI models and historical data.

Introduction

CORROPIPE is a web-based platform that provides differentiated functionalities ranging from data pre-processing, data management, and visualization, to statistics, corrosion forecasting, and assessment on piggable and non-piggable pipelines.

Aggregated pipeline corrosion prediction data is generated by AI models and historical data reported from previous inspections.

Actionable information is visualized on dynamic smart dashboards, making inspection data accessible and user-friendly.

Features

CORROPIPE has five implementation steps:

1. Pre-processing historical data from existing systems and for each pipeline. Data exploitation or visualization is not possible before a thorough cleaning, inspections’ alignment, and features matching. 2. Ability to check data integrity and suggest approach to fix errors. 3. Predicting corrosion evolution as a function of exposure time for the considered pipelines. 4. Interactive data visualization. 5. User export of data in standard format (CSV, excel, PDF).

Efficient assessment

Helps understanding key drivers behind corrosion mechanisms, pipeline reliability assessments, and recommended repairs.

Data visualization

Display of pipeline’s position, meta-data, historical data, corrosion location, level of severity, and hotspots.

Data management

Pipelines’ metadata and inspection historical data undergo a thorough cleaning, forecasting and interpolation.

Benefits

01AccessibilityApplication’s inspection data is easily accessible and user-friendly.
02IntegrationThe ability to integrate new inspection data for all pipelines.
03OPEX reductionReduces OPEX by lowering the frequency and cost of verification excavations.
04Realistic predictionsPrediction of corrosion growth behavior and other factors enabled, producing realistic results.