Resources

Beyond Excel: Revolutionizing Data Integration with CIM

Why Satellite Data Alone Isn’t Enough to Safeguard Your Pipelines

America has2.6 million miles of natural gas and hazardous liquid transportation pipelines, the largest network of pipelines in the world.

CIS Analysis within CIM’s External Corrosion Module

Meet CIM’s Machine Learning Classification Model

Machine learning, artificial intelligence (AI) and data science are interrelated sciences whose terms are often used interchangeably, sometimes...

Introducing Vendor Portals for Asset Integrity

The first step in a user’s journey with CIM is onboarding data into the software application, allowing it to be integrated and analyzed. Before that...

Pipeline Risk Management – Handling Uncertainty

Getting the Right Information in the Right Hands: How Geospatial Intelligence Improves Pipeline Safety

When it comes to pipeline safety, understanding threats and taking appropriate action when danger hits from various angles requires the right data...

Using Data Science to Determine Active Internal Corrosion

Validating ILI Performance with API 1163 and PRCI Research in CIM

Those tasked with a job function related to in-line inspection - from working for an in-line inspection (ILI) service provider to analyzing the ILI...

Correcting IMU Data for Pipeline Movement Analysis

Managing the threat of pipeline movement, whether it be from geohazards or weather event, becomes an issue of data integration and alignment. A vital...