谷歌浏览器插件
订阅小程序
在清言上使用

Near-surface Q model building and inverse Q filtering: A case study from Daqing oilfield, China

Seg Technical Program Expanded Abstracts(2013)

引用 29|浏览3
暂无评分
摘要
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2013Near-surface Q model building and inverse Q filtering: A case study from Daqing oilfield, ChinaAuthors: Cheng WangJiangyun PeiJianmin WangCheng WangExploration & Development Research Institute of Daaing Oilfield Company Ltd.Search for more papers by this author, Jiangyun PeiExploration & Development Research Institute of Daaing Oilfield Company Ltd.Search for more papers by this author, and Jianmin WangExploration & Development Research Institute of Daaing Oilfield Company Ltd.Search for more papers by this authorhttps://doi.org/10.1190/segam2013-0319.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract For land seismic, near-surface absorption of seismic wave is the main reason that leads to velocity dispersion and energy attenuation, especially for its high-frequency components. To eliminate the effect of near-surface on seismic wave propagation, we put forward a stable, efficient approach to prestack inverse Q filtering with near surface Q model and travel time, based on the theory of wave-field downward continuation. First, accurate near surface Q values at survey points were estimated from double-hole uphole survey data using the modified peak-frequency-shift method. Then, we calibrate them to whole area near-surface Q model which is got from the reflected seismic data to get the final Q model. Finally, with the near-surface Q model and travel time, we extend the received wave signal to the top of high-velocity layer using stabilized inverse Q filtering. The application of this technology in DQCY area shows the stabilized inverse Qfilter corrects the wavelet distortion in terms of shape and timing, compensates for energy loss without boosting ambient noise, and produces desirable seismic images with high resolution and high S/N ratio. Permalink: https://doi.org/10.1190/segam2013-0319.1FiguresReferencesRelatedDetailsCited byHigh-resolution seismic processing technique with broadband, wide-azimuth, and high-density seismic data — A case study of thin-sand reservoirs in eastern ChinaQin Su, Huahui Zeng, Yancan Tian, Hailiang Li, Lei Lyu, and Xiaomei Zhang7 July 2021 | Interpretation, Vol. 9, No. 3Spectral-ratio tomography for seismic attenuation estimation2 July 2021 | Journal of Geophysics and Engineering, Vol. 18, No. 3Prestack time migration from 3D irregular surfaces with near-surface-related deabsorptionJincheng Xu, Jianfeng Zhang, Linong Liu, Wei Zhang, and Hui Yang28 November 2019 | GEOPHYSICS, Vol. 85, No. 1Some remarks on Q ‐compensated sparse deconvolution without knowing the quality factor Q24 July 2019 | Geophysical Prospecting, Vol. 67, No. 8Near-surface Q tomography via the combination of surface and crosshole seismic surveyHao Zheng27 August 2018Enhancing seismic resolution by removing the weathering layer absorptionShanshan Zhang, Guofa Li, Shanshan Zhu, Wenliang Zhu, and Tongli Zhai1 September 2016 SEG Technical Program Expanded Abstracts 2013ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2013 Pages: 5258 Publisher:Society of Exploration Geophysicists HistoryPublished Online: 19 Aug 2013 CITATION INFORMATION Cheng Wang, Jiangyun Pei, and Jianmin Wang, (2013), "Near-surface Q model building and inverse Q filtering: A case study from Daqing oilfield, China," SEG Technical Program Expanded Abstracts : 1821-1825. https://doi.org/10.1190/segam2013-0319.1 Plain-Language Summary PDF DownloadLoading ...
更多
查看译文
关键词
Seismic Data Processing,Ambient Seismic,Seismic Waveform Inversion
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要