Remote Field Eddy Current Signal Deconvolution and Towards Inverse Modeling

TL;DR

This paper presents a method for inverse modeling of Remote Field Eddy Current signals to assess pipeline corrosion, using different RFEC sensor designs and validated on simulated and real data.

Contribution

It introduces a novel approach to inverse modeling in RFEC technology, accommodating different sensor configurations and improving corrosion quantification.

Findings

Effective in simulated datasets

Validated on real pipeline data

Applicable to various RFEC sensor designs

Abstract

Being able to quantify the corrosion of ferromagnetic water pipeline is a critical task for avoiding pipe failures. This task is often performed with Non-Destructive Evaluation (NDE) technologies and solving the inverse modeling of the sensor is considered as the holy grail of most NDE studies. In this paper, we propose a method that partly solves the inverse problem for the Remote Field Eddy Current (RFEC) technology. We consider RFEC tools with two different design, the first one is the classic design with a single exciter coil and a single receiver coil, and the second design considers the replacement of the receiver coil by an array of receivers distributed along the circumference. The proposed algorithm is tested on both simulated and real dataset.