TY - JOUR ID - 57998 TI - Using a novel method for random noise reduction of seismic records JO - Iranian Journal of Oil and Gas Science and Technology JA - IJOGST LA - en SN - 2345-2412 AU - Bagheri, Majid AU - Riahi, Mohammad Ali AD - Assistant Professor, Institute of Geophysics, University of Tehran, Tehran, Iran AD - Professor, Institute of Geophysics, University of Tehran, Tehran, Iran Y1 - 2018 PY - 2018 VL - 7 IS - 3 SP - 65 EP - 72 KW - Median filter KW - Deconvolution KW - Signal-to-noise Ratio (S/N) KW - Seismic data KW - Random noise DO - 10.22050/ijogst.2018.75178.1381 N2 - Random or incoherent noise is an important type of seismic noise, which can seriously affect the quality of the data. Therefore, decreasing the level of this category of noises is necessary for increasing the signal-to-noise ratio (SNR) of seismic records. Random noises and other events overlap each other in time domain, which makes it difficult to attenuate them from seismic records. In this research, a new technique is produced, by joining FX deconvolution (FXD) and a special kind of median filter in order to suppress random noise from seismic records. The technique is operated in some stages; firstly, FXD is tried to eliminate the Gaussian noise, and the median filter is fixed to diminish the spike-like noise. The synthetic dataset and field data examples (from an oil field in the southwest of Iran) have been employed to demonstrate that random noise reduction can be attained, while the signal content will not be destroyed considerably. The final results indicate the authority of the proposed strategy in suppressing random noises, whereas signal information is almost protected during the filtering. UR - https://ijogst.put.ac.ir/article_57998.html L1 - https://ijogst.put.ac.ir/article_57998_77666c5ae0e7e7e47641c5f3b4f37955.pdf ER -