Amplitude Preserving Denoising Technology In Application In Kazakhstan Precaspian Basin

In recent years, along with the gradual deep oil and gas exploration, lithologic reservoir has become the focal point of exploration and development, seismic data and waveform amplitude information is more and more used in lithological trap identification and assess the quality of seismic data, especially the fidelity of demand is higher and higher.But people often just to get the position of the subsurface reflection, and ignores the processing of seismic data processing methods and parameters, easy to cause the processing result can’t reflect reservoir characteristics and the lithology change, thus affecting the seismic interpretation and reservoir description. Therefore, it is necessary for processing in seismic data processing technology and parameters for protecting image analysis and processing results, selecting the optimal treatment method and the parameters, to reduce the loss of effective signal.To deal with the noise, the greater the intensity of denoising, the lower the efficiency of denoising, the worse they fidelity. Under the condition of the same intensity of denoising, obtain higher efficiency of denoising method is fidelity good method. Accurately estimate the signal denoising, effective attenuation of strong noise is to reduce the intensity, the key to improve the efficiency of denoising. Post-stack estimates more accurate signal, noise advantages stronger before stack, stack joint before and after denoising to improve the signal-to-noise ratio of seismic data and the purpose of fidelity. Noise of different energy, choose a different noise intensity and make the best of, can achieve the purpose of fidelity.This paper expounds the traditional denoising module and method, and then give a seismic model, through the study of the seismic data denoising of seismic model experiment research, adhere to the "qualitative, semi quantitative, qualitative, protecting image denoising before and after the contrast analysis of the research train of thought", summed up a set of feasible image denoising process, and is applied to research the Kazakhstan Precaspian basin of the actual processing, realize the real seismic data better image denoising, achieved the desired effect, is highly evaluated by the party A.