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The quantitative evaluation method of seismic high resolution processing effect |
Rui DIAO |
Geophysical Research Institute of Shengli Oil Field Branch,SINOPEC,Dongying 257022,China |
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Abstract 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.
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Received: 16 May 2019
Published: 22 April 2020
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Seismic section and time-frequency spectrum
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The quantitative evaluation results of spectrum
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Improved resolution effect contrast a—original processing data;b—multistep high resolution data;c—inverse Q filtering data
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The quantitative evaluation results a—the quantitative evaluation results of spectrum;b—the quantitative evaluation results of S/N,wavelet consistency,waveform similarity
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The effect contrast of high resolution processing before(a) and after(b)
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