Seismic data resolution improvement based on mixed phase deconvolution with morphological filtering
Zhang Xiaolei1, Wang Runqiu2, Deng Xiaojuan1, Liu Fang3, Xiong Zhuang4
1. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China;
2. China University of Petroleum (Beijing), Beijing 102249, China;
3. Research Center, CNOOC, Beijing 100028, China;
4. Exploration and Development Research Institute, Huabei Oilfield Company, PetroChina, Renqiu, Hebei 062552, China.
Abstract：To solve the problems such as seismic low resolution and weak signals in middle-deep stratigraphic reservoirs, the article proposes a joint-application approach, a mixed phase deconvolution in connection with morphological filtering to improve data resolution and S/N. The article firstly discusses algorithm principle of the mixed phase deconvolution in connection with morphological filtering. Then multi-scale morphological filtering decomposes seismic data, S/N of various scales is analyzed to determine reconstruction coefficients, and multi-scale seismic data is reconstructed, and so seismic data noise is suppressed. Finally, the mixed phase deconvolution is used to process reconstructed seismic data. Some model data tests verified the feasibility of the proposed approach. Applications in the western front belt of Jilin Oilfield show that the proposed approach can not only improve data resolution in the shallow and deep layers, but also data S/N in deep parts, which may be beneficial to interbed prediction.
Wang Jianfeng. Method Research of Using Mathematical Morphology to Remove Rules of the Noise in Seismic Data[D]. China University of Petroleum(Beijing), Beijing, 2008.
