Enhancing the useful signal while preserving edge properties of the seismic profiles by attenuating random noise can help reduce interpretation difficulties and misleading risks for oil and gas detection.Įxample of noise reduction using Audacity with 0 dB, 5 dB, 12 dB, and 30 dB reduction, 150 Hz frequency smoothing, and 0.15 seconds attack/decay time. The useful signal that is smeared in the ambient random noise is often neglected and thus may cause fake discontinuity of seismic events and artifacts in the final migrated image. In seismic exploration īoosting signals in seismic data is especially crucial for seismic imaging, inversion, and interpretation, thereby greatly improving the success rate in oil & gas exploration. The local signal-and-noise orthogonalization algorithm can be used to avoid changes to the signals. Noise reduction algorithms tend to alter signals to a greater or lesser degree.