Shi, P orcid.org/0000-0001-5782-245X, Yuan, S, Wang, T et al. (2 more authors) (2018) Fracture Identification in a Tight Sandstone Reservoir: A Seismic Anisotropy and Automatic Multisensitive Attribute Fusion Framework. IEEE Geoscience and Remote Sensing Letters, 15 (10). pp. 1525-1529. ISSN 1545-598X
Abstract
Fracture monitoring is crucial for many geo-industrial applications, such as carbon dioxide storage and hydrocarbon exploration in tight reservoirs, because fractures can form storage space or leaking paths for geological sealing. We propose a fracture identification framework for geo-industrial applications by exploiting seismic reflection anisotropy and automatic multisensitive attribute fusion. Anisotropy maps extracted from different seismic attributes are automatically selected and fused according to the correlation between the predicted anisotropy strengths and the measured fracture densities at well locations. Through seismic anisotropy extraction and automatic multisensitive attribute fusion, we can acquire a more comprehensive evaluation of different fracture types in a reservoir. The proposed fracture identification framework is successfully applied to a deep, tight sandstone reservoir in Southwest China. The predicted fracture distribution is closely related to the local structures in the target reservoir. The orientations of the most predicted fractures are consistent with the local maximum principal stress direction in this area, which is good for the opening and fluid filling of fractures. The fracture identification results will be used to guide hydrocarbon exploration activities in this region, such as exploration well deployment.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Fracture identification; seismic anisotropy; seismic attribute fusion; sensitive attribute selection; tight sandstone |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Aug 2018 11:46 |
Last Modified: | 29 Oct 2018 14:10 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/LGRS.2018.2853631 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134177 |