Pipeline Integrity Management and Data Science Blog

Calculating the Total Cost of Ownership for Integrity Management Software

Companies ready to upgrade software need to consider more than just purchase price. If your pipeline team is looking at new integrity management software, your first question is likely, “how much does it cost?” The answer isn’t easy or simple—it involves several factors. Before selecting one application over the other, examine the total cost of ownership (TCO). You’ll have to uncover all software-related expenses to make an accurate estimate. The total cost includes both the initial purchase price and what you pay for a system over time, such as maintenance fees, reliability support, extra features, security upgrades and more.

How to Statistically Validate Your New ILI Report in Minutes

Overview Pipeline operators must be confident their integrity data is complete, reliable and ready to use. For new inline inspection (ILI) reports, this means manual verification by integrity engineers, along with costly confirmation digs. It may take weeks or even months to check ILI data fully; however, it’s possible to validate reports in minutes. Operators can speed up their process with Cognitive Integrity Management (CIM). With powerful ILI alignment and matching analytics, CIM automatically compares report information to an operator’s existing pool of integrity data.

A Risk Approach to Managing Remaining Anomalies

Overview Inline Inspection tools are one of the technologies used to assess the integrity state of pipelines. Different tools exist, based on physical principles, which can help identify locations where the pipe wall may have flaws that can lead to a critical state. However, due to potential inaccuracies in data collection and reporting tool vendors provide additional information about the tolerances and thresholds of the tool readings. This additional information can be used to determine the potential state of given anomalies and just how close to a critical scenario they may be, typically using a burst model.

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.