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A Methodology, Database, And Maps For Seasonally-Adjusted Soil Resistivity

The electrical conductivity of the electrolyte is one of the key parameters in the electromechanics of corrosion. Highly conductive electrolytes will permit more current and increase corrosion rates. Conversely, resistive electrolytes will enable less current to flow until the necessary conditions for corrosion are no longer satisfied or slowed.

Product Number: 51322-18216-SG
Author: Thomas Hayden, Alfonso Rojas Garcia, Steve Peaslee, Joseph Mazzella, Paul Murray, Robert R. Dobos
Publication Date: 2022
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When assessing corrosion growth rates, the properties of the electrolyte are one of the most critical parameters. For underground pipelines, this electrolyte is the soil. Soil has a variety of corrosion properties such as porosity, composition, and water retention. One of the most critical properties is the soil's resistivity, the electrolyte's ability to conduct electric current. The soil's resistivity is not constant; it is highly seasonal and varies based on weather patterns, local conditions, and contamination.

This work presents a database for collecting soil resistivity measurements and a methodology to assemble high-resolution seasonal maps. In working closely with government agencies that use this data for agriculture, this work demonstrates a process to re-use agricultural conductivity datasets for estimating soil resistivity. This process is validated against field resistivity measurements collected by a North American pipeline operator.

When assessing corrosion growth rates, the properties of the electrolyte are one of the most critical parameters. For underground pipelines, this electrolyte is the soil. Soil has a variety of corrosion properties such as porosity, composition, and water retention. One of the most critical properties is the soil's resistivity, the electrolyte's ability to conduct electric current. The soil's resistivity is not constant; it is highly seasonal and varies based on weather patterns, local conditions, and contamination.

This work presents a database for collecting soil resistivity measurements and a methodology to assemble high-resolution seasonal maps. In working closely with government agencies that use this data for agriculture, this work demonstrates a process to re-use agricultural conductivity datasets for estimating soil resistivity. This process is validated against field resistivity measurements collected by a North American pipeline operator.

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