Magnetic Flux Leakage (MFL) technology has been widely used for pipeline inspection due to its reliability in detecting metal loss. However, unidirectional axial (MFL-A) and circumferential (MFL-C) tools have inherent limitations in detecting and sizing complex corrosion anomalies. These limitations often result in conservative reporting, increased digging costs, and reduced confidence in inspection results.

A new approach, MFL Data Fusion, addresses these challenges by combining MFL-A and MFL-C datasets into a unified 3D depth profile. This system leverages the complementary strengths of axial and circumferential magnetic fields to improve anomaly characterization, reduce conservatism in reporting, and optimize integrity management programs. By increasing certainty and reducing unnecessary digs, the system offers significant cost-saving opportunities for pipeline operators.