Pipeline Integrity Management and Data Science Blog

Risk Modeling Combined with Machine Learning Supercharges Integrity Analysis

Many pipeline operators have separate departments for managing integrity data and risk analysis. This detached approach makes it challenging to form a complete picture of pipeline integrity. At OneBridge, we’re dedicated to elevating integrity management, which is why we’ve partnered with C-FER Technologies to embed sophisticated risk models into our data management software. By combining machine learning and risk analysis into a single platform, operators advance towards a truly comprehensive integrity management program.

How to Safeguard Pipeline Integrity Data Against Ransomware

On May 7th, 2021, a ransomware attack halted Colonial Pipeline’s operations and led to gas shortages along the eastern U.S. The operator paid a $5 million ransom to Eastern European hackers to regain control of their system. Despite being able to restore operations several days later, these attacks take operators much longer to return their delivery supply chain to normal. Incidents like this are a wake-up call for operators to re-examine their network security practices, procedures and protections, including taking advantage of advanced cloud-based platforms like Cognitive Integrity Management.

How to Enhance Pipeline Data Visibility and Accessibility Across Teams

There’s no doubt that the past year has been challenging, with serious workplace upheaval thanks to COVID-19. As a result, integrity management now takes a hybrid workplace approach that includes both remote and in-office options. Employees require exceptional pipeline data accessibility and visibility to collaborate effectively across teams. Integrated software like OneBridge’s Cognitive Integrity Management (CIM) supports remote working, collaboration and superior decision-making by uniting pipeline engineering information within an enterprise.

Machine Learning in Oil and Gas in 2021: The Real Reason Pipeline Integrity Needs Machine Learning

At OneBridge, we’re unleashing more of the pipeline industry’s potential by applying machine learning in oil and gas. While this may seem like futuristic empty talk, making today’s technology work for you is not impossible. The change begins in integrity management when teams are free to stretch their talents and aim for big goals instead of disproportionately spending time on regulatory compliance tasks. Will our macros catch all the actionable anomalies?

The Advantages of a Centralized Pipeline Data Management System

Integrity teams rely on a wide array of technologies to overlay and analyze smart tool runs, direct assessments, GIS, and more. It isn’t easy to consolidate all this information, but these days—due to new regulations—there’s a growing need for centralized data management. This is particularly challenging for mature pipeline companies that have years of information gathered from multiple sources. This patchwork of oil and gas pipeline data creates many complications: