This invention describes a system and method for detecting corrosion in natural gas pipelines using an optical platform or a wireless platform. This technology is available for licensing and/or further collaborative research from the U.S. Department of Energy’s National Energy Technology Laboratory.
The U.S. Energy Information Administration states that natural gas accounts for nearly 30 percent of energy consumption in the United States. More than 300,000 miles of natural gas transmission and gathering lines deliver this valuable energy source to consumers. Like any energy infrastructure, this network of pipelines requires significant maintenance costs. In the case of natural gas pipelines, corrosion accounts for around 25 percent of incidents over the last 30 years, 61 percent of which was caused by internal corrosion.
The corrosion-related annual cost for such incidents amounts to $6 to $10 billion in the United States each year. Therefore, a need exists to monitor corrosion inside of the gas pipelines to implement corrosion mitigation and control before any failure.
NETL researchers have developed a system to combat corrosion in natural gas pipelines thorough early detection using either optical or wireless sensing technology. A fiber-optic sensor network is capable of monitoring internal corrosion in the pipelines by realizing precise localized multi-parameter measurements of condensed water properties. Wireless sensors can also be used in this invention and provide low-cost, distributed point measurements. The wireless sensors can be placed at an arbitrary number of locations to best acquire information about the system being monitored.
This novel sensor approach exhibits unparalleled advantages over existing corrosion and corrosion on-set detection approaches in high sensitivity, mutli-parameter measurement, and remote and distributed sensing.
U.S. Patent Pending (non-provisional patent application)
Title: Distributed Fiber-Optic Sensor Network for Sensing the Corrosion Onset and Quantification
Inventor: Paul Ohodnicki, Jagannath Devkota, Ping Lu, Ruishu Wright
NETL Reference No. 17N-21
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