Data processing method of underwater wellhead magnetic detection
Magnetic detection is commonly used for underwater wellheads,but processing magnetic detection data faces chal-lenges due to data complexity and noise interference.To eliminate the influence of piggybacking platforms,measuring instru-ments,and the geomagnetic field on wellhead magnetic detection data and to obtain pure magnetic signals,this study conducted finite element simulations of wellhead magnetic detection using Maxwell software to replicate real-world conditions.To process the simulation data,the study applied fluxgate compensation,cross-correlation wavelet denoising,and gradient-based geomag-netic field compensation algorithms.Experimental results indicate that the proposed combination of methods effectively filters out interference from measuring instruments and the geomagnetic field,enhancing the accuracy and reliability of the final mag-netic signal data.
underwater wellheadfinite element simulationmagnetic detectionmagnetic signal processing