Least-squares Q migration: The path to improved seismic resolution and amplitude fidelity (2017)

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2017Least-squares Q migration: The path to improved seismic resolution and amplitude fidelityAuthors: Guangfu ShaoDongping ZhuangRongxin HuangPing WangBertram NoltePedro ParamoKareem VincentGuangfu ShaoCGG, Dongping ZhuangCGG, Rongxin HuangCGG, Ping WangCGG, Bertram NolteBP, Pedro ParamoBP, and Kareem VincentBPhttps://doi.org/10.1190/segam2017-17742644.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Standard prestack depth migration (PSDM), e.g., Kirchhoff/RTM, is by nature unable to fully recover the reflectivity with the desired amplitude fidelity and resolution due to factors such as inhomogeneous subsurface illumination and irregular acquisition geometry. This shortcoming is well recognized by the imaging community and has propelled the re-emergence of least-squares migration (LSM) in recent years. Another factor that degrades the amplitude fidelity and image resolution is the attenuation of seismic waves induced by anelastic absorption and elastic scattering during its propagation inside the earth, quantified by the so-called quality factor (Q). Absorption causes frequency-dependent amplitude decay, phase distortion, and resolution reduction. This effect can be compensated through Q prestack depth migration (QPSDM). QPSDM has become an effective solution for seismic imaging in areas where strong absorption anomalies exist in the overburden. However, the excessive noise often accompanying QPSDM poses a big challenge to its application. We describe a least-squares Q migration (LSQM) method that combines the benefits of both LSM and QPSDM to improve the amplitude fidelity and image resolution of seismic data. Using an OBC data set acquired over the Angelin gas field offshore Trinidad, we demonstrate that LSQM not only retains the full benefits of QPSDM while mitigating its issue of over-boosted noise but also compensates for inhomogeneous illumination caused by overburden velocity variations and irregular acquisition geometry that standard PSDM suffers from, leading to a final product with higher resolution and improved amplitude fidelity. Presentation Date: Tuesday, September 26, 2017 Start Time: 8:55 AM Location: 361A Presentation Type: ORAL Keywords: attenuation, least-squares migration, OBC, Kirchhoff, QPermalink: https://doi.org/10.1190/segam2017-17742644.1FiguresReferencesRelatedDetailsCited by4D seismic co-processing pre-stack depth migration for scarce acquisition repeatability19 July 2022 | Journal of Petroleum Exploration and Production Technology, Vol. 13, No. 1Least-squares Gaussian beam migration in viscoacoustic mediaYubo Yue, Yujin Liu, Yaonan Li, and Yunyan Shi16 December 2020 | GEOPHYSICS, Vol. 86, No. 1Improving Mississippi Canyon images with ocean bottom node data: Challenges and surprisesYuan Yao, Hui Zhang, Lingli Hu, and Chao Peng30 September 2020Visco-acoustic least-squares reverse time migration in TTI media and application to OBN dataSide Jin, Henning Kuehl, Michael Kiehn, Rene-Edward Plessix, and Martina Wittmann-Hohlbein10 August 2019Solving Trinidad's imaging challenges through orthorhombic and least-squares Q migration of high-density full-azimuth OBN dataKareem Vincent, Pedro Paramo, Bertram Nolte, Sean Cardinez, Katrina Packer, John C. Naranjo, Jim Mika, Imtiaz Ahmed, and Hu Jin27 August 2018 SEG Technical Program Expanded Abstracts 2017ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2017 Pages: 6093 publication data© 2017 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 17 Aug 2017 CITATION INFORMATION Guangfu Shao, Dongping Zhuang, Rongxin Huang, Ping Wang, Bertram Nolte, Pedro Paramo, and Kareem Vincent, (2017), "Least-squares Q migration: The path to improved seismic resolution and amplitude fidelity," SEG Technical Program Expanded Abstracts : 4400-4404. https://doi.org/10.1190/segam2017-17742644.1 Plain-Language Summary Keywordsattenuationleast-squares migrationOBCKirchhoffQPDF DownloadLoading ...