Thin inter-bedded reservoirs,lithologic reservoirs and subtle reservoirs have gradually become the focus of exploration and development,which requires higher resolution processing methods and fidelity processing.In the process of improving resolution of conventional seismic data processing,the focus is mainly concentrated on the study of improving resolution methods,and there is a lack of systematic and comprehensive quantitative evaluation and analysis methods and software modules for improving resolution effect.In order to meet the urgent need of improving resolution quality monitoring,the authors carried out the study and development of evaluation methods and technical modules for improving seismic resolution effect so as to optimize the processing technology,process and parameters of improving resolution efficiently,comprehensively and reliably monitor the processing process of improving resolution,and realize the quantitative evaluation and analysis of the effect of improving resolution processing of seismic data.Quantitative evaluation method of improving resolution effect was applied to Shawan Formation thin layer reservoir in Chepaizi area.Quantitative evaluation and analysis of the effect of whole process of improving resolution processing were carried out.The capability of identifying thin layer has been greatly enhanced after improving resolution processing,and ideal results have been achieved.
Li J L, Li Z C, Guan L P , et al. The method of seismic attenuation and energy compensation[J]. Geophysical and Geochemical Exploration, 2015,39(3):456-465.
Chen S, Xu X Y, Luo X L , et al. Time-frequency attribute based on modified matching pursuit algorithm and its application to sedimentary microfacies of thin reservoir area[J]. Geophysical and Geochemical Exploration, 2018,42(5):1006-1012.
[3]
Rose A L R, Ulrych T J . Processing via spectral modeling[J]. Geophysics, 1991,56(8):1244-1251.
[4]
刁瑞 . 分频带预测反褶积方法研究[J]. 断块油气田, 2015,22(1):53-57.
[4]
Diao R . Method of separate frequency predictive deconvolution[J]. Fault-Block Oil & Gas Field, 2015,22(1):53-57.
Yu D, He Z J, Sun Y , et al. A comparison of the inverse Q filtering methods based on wavefield continuation[J]. Geophysical and Geochemical Exploration, 2018,42(2):331-338.
Li W J, Ning J R, Chen S J , et al. The application of Burg deconvolution to improving seismic data processing quality[J]. Geophysical and Geochemical Exploration, 2011,35(1):127-130.
Yang L Q, Hao T Y, Song H B . Seismic resolution improvement by means of LOG operator and modified algorithm[J]. Geophysical and Geochemical Exploration, 2005,29(4):351-354.
Wan H, Fan X Y, Liu T , et al. Methods and applications for improving pre-stack seismic data resolution[J]. Progress in Geophysics, 2012,27(1):304-311.
Cui Q H, Rui Y J, Shang X M , et al. Mixed-phase seismic wavelet extraction and its application[J]. Geophysical Prospecting for Petroleum, 2011,50(5):481-486.
Zhang J H, Zang S T, Zhou Z X , et al. Quantitative computation and comparison of S/N ratio in seismic data[J]. Oil Geophysical Prospecting, 2009,44(4):481-486.
Diao R, Feng Y P . Hydrocarbon recognition based on spectrum absorption characteristics of reservoir[J]. Oil Geophysical Prospecting, 2012,47(5):766-772.
Xu W X, Duan W X, Yang J , et al. Technology discussion on the integration and transplantation of seismic data acquisition engineering software[J]. Geophysical Prospecting for Petroleum, 2016,55(3):350-356.