A New Method for Pore Pressure Prediction Using Logging and Seismic Data

Seg Technical Program Expanded Abstracts(2015)

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PreviousNext No AccessSEG Technical Program Expanded Abstracts 2015A new method for pore pressure prediction using logging and seismic dataAuthors: Liwen Yu*Sam Zandong SunZhishui LiuNing DongYiming MaWenkui YangRongrongLiwen Yu*Lab for Integration of Geology and Geophysics (LIGG), China University of Petroleum (Beijing)Search for more papers by this author, Sam Zandong SunLab for Integration of Geology and Geophysics (LIGG), China University of Petroleum (Beijing)Search for more papers by this author, Zhishui LiuLab for Integration of Geology and Geophysics (LIGG), China University of Petroleum (Beijing)Search for more papers by this author, Ning DongPetroleum E&P Research Institute, SINOPECSearch for more papers by this author, Yiming MaLab for Integration of Geology and Geophysics (LIGG), China University of Petroleum (Beijing)Search for more papers by this author, Wenkui YangLab for Integration of Geology and Geophysics (LIGG), China University of Petroleum (Beijing)Search for more papers by this author, and RongrongLab for Integration of Geology and Geophysics (LIGG), China University of Petroleum (Beijing)Search for more papers by this authorhttps://doi.org/10.1190/segam2015-5917110.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Eaton's equation and Yan's equation are widely used in pore pressure prediction. In these equations, velocity from the normal compaction trend line (Vnormal) must be calculated. But it is hard to accurately obtain when the shallow velocity logging data is incomplete or fluctuates strongly. In this case, the predicted result is unreliable due to the error caused by Vnormal. To solve the problem, this paper proposes a new method for pore pressure prediction. The new method combines the Eaton's method and Yan's method to calculate the pore pressure through iterative computations. Vnormal is not needed as a necessary input in the new method. Thus the new method essentially eliminates the error caused by the unreliable Vnormal which calculated from poor-quality shallow velocity logging data. Through the calibration of the measured pressure, the prediction result from the new method is proved to be more accurate than Eaton's equation and Yan's equation. Then the new equation is used to study the influence of density and P-wave velocity on pressure which contributes to analyze the characteristics of gas reservoir. What's more, the new method has been successfully applied to seismic data and turned out to be reliable since the predicted result from seismic data match well with that from logging data. Keywords: logging, shale gas, seismic, pore pressurePermalink: https://doi.org/10.1190/segam2015-5917110.1FiguresReferencesRelatedDetails 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 Liwen Yu*, Sam Zandong Sun, Zhishui Liu, Ning Dong, Yiming Ma, Wenkui Yang, and Rongrong, (2015), "A new method for pore pressure prediction using logging and seismic data," SEG Technical Program Expanded Abstracts : 3234-3238. https://doi.org/10.1190/segam2015-5917110.1 Plain-Language Summary Keywordsloggingshale gasseismicpore pressurePDF DownloadLoading ...
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seismic,pore pressure,logging
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