Whitepapers

Are your environmental programs compounding value or risk? As natural gas becomes a more global marketplace, midstream operators need stronger environmental visibility to protect market access and commercial credibility. Market access increasingly requires connected data, defensible emissions insight and operational control across gathering, processing, transmission and storage assets. The Environmental Strategy Maturity Curve provides a roadmap for connecting environmental performance to operational control and commercial credibility.

There are 279 new oil and gas pipeline projects in development worldwide right now, and 106 are already under construction with crews mobilized and materials flowing. That is roughly 62,634 miles of new transmission pipeline being added to the global network. Download the Q2 snapshot now. 

This eBook examines the latest innovations, technologies and integrity strategies shaping the global pipeline industry. Featuring topics such as subsea pipeline inspection, corrosion risk assessment, weld fatigue testing, stress analysis, cathodic protection and smart pigging, these articles highlight practical engineering solutions for improving maintenance, reliability, safety and operational efficiency. This collection of technical articles brings together insights from industry experts and technology leaders addressing some of the sector’s greatest operational challenges, as well as the evolving technologies that are improving pipeline integrity.

Corrosion under insulation is a longstanding hidden threat that drives costly failures and unplanned downtime in energy operations. But new coating strategies are helping operators kick CUI to the curb. Advanced thermal insulative coatings are allowing operators to replace traditional insulation systems altogether, leaving no insulation in place for corrosion to form underneath. CUI is eliminated by default, and operations can run stronger, longer and more efficiently. Discover how to eliminate CUI in your operations.

A growing portion of our pipeline infrastructure carries compressible fluids — NGLs such as ethane and propane, and liquefied olefins such as ethylene and propylene. These complex products behave in ways that expose the limits of conventional leak detection methods.

Flowstate has demonstrated the ability to use machine learning to enable improved leak detection on hazardous liquid pipelines. They have expanded their innovative approach to compressible fluids. The paper will introduce the approach and present validation results.