Marine Controlled-Source Electromagnetic Data Denoising Method Using Symplectic Geometry Mode Decomposition

The marine controlled-source electromagnetic (CSEM) method is an efficient tool for hydrocarbon exploration. The amplitudes of signals decay rapidly with the increasing offset, so signals are easily contaminated by various kinds of noise. A denoising method is critical to improve the data quality, but the diversity of noise makes denoising difficult. Specific frequency signals are transmitted for exploration requirements, and thus traditional filtering methods are not suitable. Symplectic geometry mode decomposition (SGMD), a new method to decompose signals, has an outstanding decomposition performance and noise robustness. Furthermore, it can reduce multiple types of noise by reconstructing the single components. In this study, we introduced SGMD to reduce the noise of marine CSEM data and improved the data quality significantly. The experiments show that SGMD is better than variational mode decomposition and the sym4 wavelet method.

Automated summary

The marine controlled-source electromagnetic (CSEM) method is an efficient tool for hydrocarbon exploration. However, the signal quality is easily affected by various types of noise due to the rapid decay of signal amplitudes with increasing offset. In this study, we introduced a new method called symplectic geometry mode decomposition (SGMD) to improve the data quality of marine CSEM by reducing noise. The experiments showed that SGMD outperformed other methods like variational mode decomposition and the sym4 wavelet method.