Field in-situ corrosion monitoring is of great significance for the safe and efficient operation of plants, oil and gas pipelines. Electrical resistance probes (ER) and weight-loss coupons in pipelines and tanks have been used for internal corrosion management in the last few decades. Even though the ER technique shows only general corrosion, the ER probe is widely used to determine corrosion inhibitor performance. The weight-loss coupon can detect localized corrosion, but continuous in-situ monitoring is impossible. Therefore, real-time pit detection monitoring is essential since most failures are due to pitting corrosion.

I-ER corrosion monitoring system based on artificial intelligence (AI) and real-time pit-detection monitoring system were introduced. This paper describes comparison results between weight-loss coupons and multi-functional probe (pit detection technique + electrical resistance technique) are described. The multifunctional probe can provide not only pit detection but also general corrosion rate.

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