Predicting stress-induced anisotropy around a borehole
Formation elastic properties near a borehole may be altered from their original state due to the stress concentration around the borehole. This could result in a biased estimation of formation properties but could provide a means to estimate in situ stress from sonic logging data. In order to proper...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Technical Report |
| Language: | en_US |
| Published: |
Massachusetts Institute of Technology. Earth Resources Laboratory
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/90466 |
| _version_ | 1811093096152170496 |
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| author | Fang, Xinding Fehler, Michael Zhu, Zhenya Chen, Tianrun Brown, Stephen Cheng, Arthur Toksoz, M. Nafi |
| author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
| author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Fang, Xinding Fehler, Michael Zhu, Zhenya Chen, Tianrun Brown, Stephen Cheng, Arthur Toksoz, M. Nafi |
| author_sort | Fang, Xinding |
| collection | MIT |
| description | Formation elastic properties near a borehole may be altered from their original state due to the stress concentration around the borehole. This could result in a biased estimation of formation properties but could provide a means to estimate in situ stress from sonic logging data. In order to properly account for the formation property alteration, we propose an iterative numerical approach to calculate the stress-induced anisotropy around a borehole by combining Mavko’s rock physics model and a finite-element method. We show the validity and accuracy of our approach by comparing numerical results to laboratory measurements of the stress-strain relation of a sample of Berea sandstone, which contains a borehole and is subjected to uniaxial stress loading. Our iterative approach converges very fast and can be applied to calculate the spatially varying stiffness tensor of the formation around a borehole for any given stress state. |
| first_indexed | 2024-09-23T15:39:42Z |
| format | Technical Report |
| id | mit-1721.1/90466 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:39:42Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/904662019-04-10T21:28:35Z Predicting stress-induced anisotropy around a borehole Fang, Xinding Fehler, Michael Zhu, Zhenya Chen, Tianrun Brown, Stephen Cheng, Arthur Toksoz, M. Nafi Massachusetts Institute of Technology. Earth Resources Laboratory Logging Inversion Formation elastic properties near a borehole may be altered from their original state due to the stress concentration around the borehole. This could result in a biased estimation of formation properties but could provide a means to estimate in situ stress from sonic logging data. In order to properly account for the formation property alteration, we propose an iterative numerical approach to calculate the stress-induced anisotropy around a borehole by combining Mavko’s rock physics model and a finite-element method. We show the validity and accuracy of our approach by comparing numerical results to laboratory measurements of the stress-strain relation of a sample of Berea sandstone, which contains a borehole and is subjected to uniaxial stress loading. Our iterative approach converges very fast and can be applied to calculate the spatially varying stiffness tensor of the formation around a borehole for any given stress state. Massachusetts Institute of Technology. Earth Resources Laboratory (Founding Member Postdoctoral Fellowship) 2014-09-30T13:58:59Z 2014-09-30T13:58:59Z 2012 Technical Report http://hdl.handle.net/1721.1/90466 en_US Earth Resources Laboratory Industry Consortia Annual Report;2012-08 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
| spellingShingle | Logging Inversion Fang, Xinding Fehler, Michael Zhu, Zhenya Chen, Tianrun Brown, Stephen Cheng, Arthur Toksoz, M. Nafi Predicting stress-induced anisotropy around a borehole |
| title | Predicting stress-induced anisotropy around a borehole |
| title_full | Predicting stress-induced anisotropy around a borehole |
| title_fullStr | Predicting stress-induced anisotropy around a borehole |
| title_full_unstemmed | Predicting stress-induced anisotropy around a borehole |
| title_short | Predicting stress-induced anisotropy around a borehole |
| title_sort | predicting stress induced anisotropy around a borehole |
| topic | Logging Inversion |
| url | http://hdl.handle.net/1721.1/90466 |
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