Pipeline Integrity Management and Data Science Blog

Data Ingestion and Normalization – Machine Learning Accelerates the Process

If you have ever looked through 20 years of inline inspection tally sheets, you will understand why it takes a machine learning technique (e.g. random forest, Bayesian methods) to ingest and normalize them into a database effectively. It would be a monumental task if attempted manually by a human ...

Transforming pipeline integrity management through data science

 

It seems that every time an article or presentation is published highlighting some fancy new improvement to oil & gas pipeline integrity management related to inline inspection (ILI) and external data analysis, it comes attached with professional services to operationalize it. This is not so surprising, since historically the industry has been conditioned to...

OneBridge Solutions Puts Innovation in the Pipeline

Do you live within 200 yards of an oil or gas pipe? More than 60% of Americans do, but no one – not public agencies, not commercial customers, and not even the energy companies that own the pipes – could tell you exactly where defects in those pipes are. As that infrastructure ages far beyond ...

OneBridge on the Money Answers Show with Jordan Goodman

Episode Description

Dwayne Kushniruk,Tim Edward, and Brandon Taylor, from OneBridge Solutions, a subsidiary of OneSoft Solutions, talk with host Jordan Goodman about OneBridge Solutions game changing approach to helping predict and eliminate potential oil and gas pipeline problems. Through the power of big data and machine learning, OneSoft’s new SaaS approach to anticipating and preventing...