An Improved Q Estimation Approach: Weighted Centroid Frequency Shift

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2015An Improved Q Estimation Approach: Weighted Centroid Frequency ShiftAuthors: Jingnan Li*Dengfeng YangShangxu WangShoudong WangZhaoming ChenPenglong LiJingnan Li*China University of Petroleum-BeijingSearch for more papers by this author, Dengfeng YangThe Research Institute of CNOOC Ltd. ShenzhenSearch for more papers by this author, Shangxu WangChina University of Petroleum-BeijingSearch for more papers by this author, Shoudong WangChina University of Petroleum-BeijingSearch for more papers by this author, Zhaoming ChenThe Research Institute of CNOOC Ltd. ShenzhenSearch for more papers by this author, and Penglong LiDaqing Well Logging Company, CNPCSearch for more papers by this authorhttps://doi.org/10.1190/segam2015-5831736.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Accurate estimation of Q factor is of great importance to enhance the resolution of seismic data, image and interpret subsurface precisely, and predict and delineate reservoirs. Centroid frequency shift method (CFS) is one of the most commonly used Q estimation methods. However, for seismic data containing noise, the accuracy and stability of extracted Q using CFS depends on the choice of frequency band. Aiming to reduce the influence of frequency band selection and get Q with greater precision and higher robustness, we present an improved CFS Q measurement approach—weighted CFS method (WCFS), by incorporating a Gauss-like weighting coefficient into the calculation procedure. In the novel method, we first construct a Gauss-like function using the centroid frequency and variance of source wavelet, then employ it as the weighting coefficient for original signal amplitude spectrum, and finally conventional CFS is adopted for the weighted amplitude spectrum so as to extract Q factor. Numerical tests of noise-free synthetic data demonstrate that this approach is feasible and yields more accurate results than conventional CFS. Tests for noisy data indicate that our developed method has better anti-noise ability than CFS. Finally the approach is applied to field VSP data and also shows good performance. Keywords: attenuation, borehole geophysics, VSP, signal processing, QPermalink: https://doi.org/10.1190/segam2015-5831736.1FiguresReferencesRelatedDetailsCited byAn improved Q estimation approach: the weighted centroid frequency shift method23 May 2016 | Journal of Geophysics and Engineering, Vol. 13, No. 3 SEG Technical Program Expanded Abstracts 2015ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2015 Pages: 5634 publication data© 2015 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 19 Aug 2015 CITATION INFORMATION Jingnan Li*, Dengfeng Yang, Shangxu Wang, Shoudong Wang, Zhaoming Chen, and Penglong Li, (2015), "An Improved Q Estimation Approach: Weighted Centroid Frequency Shift," SEG Technical Program Expanded Abstracts : 5605-5609. https://doi.org/10.1190/segam2015-5831736.1 Plain-Language Summary Keywordsattenuationborehole geophysicsVSPsignal processingQPDF DownloadLoading ...