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文昌A油田叠前道集优化处理技术研究

Study on optimization processing technology of pre-stack gathers in Wenchang A oilfield
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摘要 叠前反演在储层定量刻画中发挥着关键作用,反演精度受道集品质的影响较大。从提高叠前反演精度的角度出发,提出了一种针对叠前道集“去噪-提频-谱平衡-剩余时差校正”组合的优化处理技术。通过RNA-3D随机噪声压制技术的应用,能提高CRP道集的信噪比;通过融合时频分析与谱白化技术,能提高CRP道集的垂向分辨率;通过谱平衡技术,能解决动校正拉伸导致的远近偏移距频率不匹配的问题;通过移动积分剩余时差校正技术,能解决同相轴不平的问题,且能较好保持AVO特征,不会造成中、远偏移距振幅畸变。在文昌A油田实际应用表明,该组合优化处理技术能较大程度改善CRP道集品质,提升储层预测的精度。 Pre-stack inversion plays a key role in the quantitative characterization of reservoirs,and the inversion accuracy is greatly affected by the quality of the gathers.From the perspective of improving the accuracy of pre-stack inversion,an optimized processing technique is proposed pertinent to the combined“denoising-frequency boosting-spectral balance-residual time difference correction”of pre-stack gathers.Due to the application of RNA-3D random noise suppression technology,the signal-to-noise ratio of CRP gathers can be improved;by integrating time-frequency analysis with spectral whitening technology,the vertical resolution of CRP gathers can be improved;by virtue of spectral balance technology,the mismatched far/near offset frequencies caused by dynamic correction stretching can be solved.Resorting to mobile integral residual time difference correction,the problem of uneven event axis can be solved,and the AVO features can be better maintained without causing the amplitude distortion of mid/long offsets.Its field applications in Wenchang A oilfield suggest that the combined optimization processing technology can greatly improve the quality of CRP gathers and enhance the accuracy of reservoir prediction.
作者 隋波 苏云 邓盾 徐伟 李轶彬 唐娟 SUI Bo;SU Yun;DENG Dun;XU Wei;LI Yibin;TANG Juan(CNOOC China Limited,Zhanjiang Branch,Zhanjiang,Guangdong 524057,China;Seismic Data Processing Institute of Geophysical Research Institute of Zhongyuan Oilfield Company,SINOPEC,Zhengzhou,Henan 450046,China)
出处 《中国海上油气》 CAS CSCD 北大核心 2022年第3期62-70,共9页 China Offshore Oil and Gas
关键词 叠前道集 优化处理 AVO特征 剩余时差 随机噪声 pre-stack gather optimized processing AVO features residual time difference random noise
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