反Q滤波是提高地震资料分辨率和保幅处理的常用方法之一,在地震储层预测中具有重要的实用价值.长期以来人们不断加以研究改进,其中采用时变增益限振幅补偿函数的反Q滤波方法是当前研究改进的方向之一.本文通过对几种常用的反Q滤波方法进行研究,提出了一种基于Teager-Kaiser能量原理求取振幅补偿函数增益限的时变增益限反Q滤波方法,改进了传统反Q滤波方法中存在的不足.新方法基于平滑连续函数而不是基于常用反Q滤波方法中采用的分段函数或截止频率来计算补偿函数的时变增益极限,因此新方法具有稳定调整时变增益极限的优点,从而提高了反Q滤波的可靠性和精度,特别是对于深层介质的保幅及分辨率提高效果较好.本文用理论模型及实际资料证明了新方法的有效性及实用性.

PreviousNext No AccessSEG 2020 Workshop: Broadband and Wide-azimuth Deepwater Seismic Technology, Beijing, China, 13–15 July 2020A new time-varying gain limits inverse Q filtering and its application to a study in Bohai BayAuthors: Yan JianguoSong XinleiChen QiDeng RubinZhang XuechunYan JianguoThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this author, Song XinleiThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this author, Chen QiThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this author, Deng RubinThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this author, and Zhang XuechunThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this authorhttps://doi.org/10.1190/bwds2020_27.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Inverse Q filtering of seismic data has become a common and useful approach in seismic reservoir characterization for increasing the resolution and preserving the amplitude of seismic data. We proposed a new time-varying gain limits inverse Q filtering with the continuous compensation functions instead of using the piecewise function or cut-off frequency to increase the quality of seismic amplitude compensation for reservoir characterization. By deriving a new relationship between the gain limits and formation quality factor Q, the stabilization factor and gain limits of compensation functions are time-varying. Basically, the gain of the compensation function in proposed method will increase when the attenuation and dispersion of seismic wave are strong in the subsurface, such as in the deep layer. So some significant improvements of quality of the inverse Q filtering are made by using this new approach. Theoretical and field examples have proved the validation of the method proposed, and the results are very encouraging when the method is applied to not only poststack data but also pre-stack data in the buried-hill basement rock reservoir characterization in the study area of Bohai Bay, in Eastern China. Keywords: Q, filtering, amplitude, seismic attributes, attenuationPermalink: https://doi.org/10.1190/bwds2020_27.1FiguresReferencesRelatedDetails SEG 2020 Workshop: Broadband and Wide-azimuth Deepwater Seismic Technology, Beijing, China, 13–15 July 2020ISSN (online):2159-6832Copyright: 2020 Pages: 155 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 09 Nov 2020 CITATION INFORMATION Yan Jianguo, Song Xinlei, Chen Qi, Deng Rubin, and Zhang Xuechun, (2020), "A new time-varying gain limits inverse Q filtering and its application to a study in Bohai Bay," SEG Global Meeting Abstracts : 100-103. https://doi.org/10.1190/bwds2020_27.1 Plain-Language Summary KeywordsQfilteringamplitudeseismic attributesattenuationPDF DownloadLoading ...

地震资料处理过程是连接资料采集和解释的关键环节,为资料解释提供直观、可靠的依据和有关的地质信息.不同处理软件和方法对地震资料处理结果的信噪比以及分辨率有着较大的影响.同时,同一方法,不同参数的选择也会影响到处理结果的准确性和真实性.本文根据两个不同地震资料处理软件Echos以及GeoEast的处理结果做对比,分析两种软件和不同方法对地震资料处理结果的影响.

预测反褶积在地震资料处理中有突出的贡献,既能提高分辨率又能压制一些规则干扰,是一种非常有效的处理手段.预测反褶积中预测步长的选择非常重要,其对资料的改善效果也会因"步"而异.本文通过对预测步长参数的优化,得到了分辨率较高,构造体现较好的成果.同时也发现,预测步长越小,分辨率越高,但信噪比越差;反之亦然.所以,实际处理时,要兼顾信噪比和分辨率,根据实际资料选择合理的参数.