Well-to-seismic calibration in depth domain using dynamic depth warping techniques

PreviousNext No AccessInternational Geophysical Conference, Beijing, China, 24-27 April 2018Well-to-seismic calibration in depth domain using dynamic depth warping techniquesAuthors: Hongmei LuoShuhui LiuChangjiang WangZhijing ZhangWenzhao ZhengHongmei LuoExploration and Development Research Institute of Shengli Oilfield, SINOPECSearch for more papers by this author, Shuhui LiuExploration and Development Research Institute of Shengli Oilfield, SINOPECSearch for more papers by this author, Changjiang WangExploration and Development Research Institute of Shengli Oilfield, SINOPECSearch for more papers by this author, Zhijing ZhangExploration and Development Research Institute of Shengli Oilfield, SINOPECSearch for more papers by this author, and Wenzhao ZhengExploration and Development Research Institute of Shengli Oilfield, SINOPECSearch for more papers by this authorhttps://doi.org/10.1190/IGC2018-171 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The seismic data in depth domain has not been widely used in petroleum exploration and development, primarily because of the discrepancy between seismic depth and true depth. Reliable and accurate calibration of well and seismic data is of great importance in geological prediction as the interpretation of the seismic data in depth domain depends on the well-seismic calibration. In this paper, we build the error influencing factor template based on the seismic data and geological model, as well as the distribution characteristics of the errors on depth between well and seismic data. Furthermore, a well-to-seismic calibration method based on the DDW (dynamic depth warping) algorithm is proposed. Setting the error template as a constraint, we analyzed the similarity or correlation between observed seismic and the synthetic seismogram in depth domain, preformed the warping algorithm, and obtained the distance-like quantity between the sampling points by calculating the amplitude, wave number and time-frequency features. Forward dynamic programming (DP) is used to find the optimum mapping path with the minimum distance so that the errors between the depth for the seismic event and the true depth can be obtained. Depth calibration can be further performed using the correction volume. This article is mainly to solve the depth of field seismic data and logging data in depth on the scale of inconsistencies, and that it is facing processed data without the possibility of secondary imaging, interpreters calibrate according to logging data and set up the relationship between seismic and logging data by simple means avoiding the differences in physical mechanism. This method can not only realize the seismic depth error correction, but also reasonable seismic waveform distortion correction caused by the migration velocity error and bad energy focusing to different extent. The proposed method was verified on a theoretical model and real seismic data, and the feasibility and reliability was clearly demonstrated by the results. Keywords: algorithm, imaging, migrationPermalink: https://doi.org/10.1190/IGC2018-171FiguresReferencesRelatedDetails International Geophysical Conference, Beijing, China, 24-27 April 2018ISSN (online):2159-6832Copyright: 2018 Pages: 1821 publication data© 2018 Published in electronic format with permission by the Society of Exploration Geophysicists and Chinese Geophysical SocietyPublisher:Society of Exploration Geophysicists HistoryPublished Online: 11 Dec 2018 CITATION INFORMATION Hongmei Luo, Shuhui Liu, Changjiang Wang, Zhijing Zhang, and Wenzhao Zheng, (2018), "Well-to-seismic calibration in depth domain using dynamic depth warping techniques," SEG Global Meeting Abstracts : 701-705. https://doi.org/10.1190/IGC2018-171 Plain-Language Summary KeywordsalgorithmimagingmigrationPDF DownloadLoading ...