Considerations for the acquisition and inversion of NMR T2 data in shales
© 2018 Elsevier B.V. Low-field Nuclear Magnetic Resonance (NMR) is a non-invasive method widely used in the petroleum industry for the evaluation of reservoirs. Pore structure and fluid properties can be evaluated from transverse relaxation (T2) distributions, obtained by inverting the raw NMR signa...
| Main Authors: | , |
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| Format: | Journal Article |
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Elsevier
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/72810 |
| _version_ | 1848762847827329024 |
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| author | Testamanti, M. Nadia Rezaee, M. Reza |
| author_facet | Testamanti, M. Nadia Rezaee, M. Reza |
| author_sort | Testamanti, M. Nadia |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 Elsevier B.V. Low-field Nuclear Magnetic Resonance (NMR) is a non-invasive method widely used in the petroleum industry for the evaluation of reservoirs. Pore structure and fluid properties can be evaluated from transverse relaxation (T2) distributions, obtained by inverting the raw NMR signal measured at subsurface conditions or in the laboratory. This paper aims to cast some light into the best practices for the T2 data acquisition and inversion in shales, with a focus on the suitability of different inversion methods. For this purpose, the sensitivity to various signal acquisition parameters was evaluated from T2 experiments using a real shale core plug. Then, four of the most common inversion methods were tested on synthetic T2 decays, simulating components often associated with shales, and their performance was evaluated. These inversion algorithms were finally applied to real T2 data from laboratory NMR measurements in brine-saturated shale samples. Methods using a unique regularization parameter were found to produce solutions with a good balance between the level of misfit and bias, but could not resolve adjacent fast T2 components. In contrast, methods applying variable regularization – based on the noise level of the data – returned T2 distributions with better accuracy at short times, in exchange of larger bias in the overall solution. When it comes to reproducing individual T2 components characteristic of shales, the Butler-Reeds-Dawson (BRD) algorithm was found to have the best performance. In addition, our findings suggest that threshold T2 cut-offs may be derived analytically, upon visual inspection of the T2 distributions obtained by two different NMR inversion methods. |
| first_indexed | 2025-11-14T10:54:05Z |
| format | Journal Article |
| id | curtin-20.500.11937-72810 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:54:05Z |
| publishDate | 2019 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-728102021-11-09T07:21:32Z Considerations for the acquisition and inversion of NMR T2 data in shales Testamanti, M. Nadia Rezaee, M. Reza © 2018 Elsevier B.V. Low-field Nuclear Magnetic Resonance (NMR) is a non-invasive method widely used in the petroleum industry for the evaluation of reservoirs. Pore structure and fluid properties can be evaluated from transverse relaxation (T2) distributions, obtained by inverting the raw NMR signal measured at subsurface conditions or in the laboratory. This paper aims to cast some light into the best practices for the T2 data acquisition and inversion in shales, with a focus on the suitability of different inversion methods. For this purpose, the sensitivity to various signal acquisition parameters was evaluated from T2 experiments using a real shale core plug. Then, four of the most common inversion methods were tested on synthetic T2 decays, simulating components often associated with shales, and their performance was evaluated. These inversion algorithms were finally applied to real T2 data from laboratory NMR measurements in brine-saturated shale samples. Methods using a unique regularization parameter were found to produce solutions with a good balance between the level of misfit and bias, but could not resolve adjacent fast T2 components. In contrast, methods applying variable regularization – based on the noise level of the data – returned T2 distributions with better accuracy at short times, in exchange of larger bias in the overall solution. When it comes to reproducing individual T2 components characteristic of shales, the Butler-Reeds-Dawson (BRD) algorithm was found to have the best performance. In addition, our findings suggest that threshold T2 cut-offs may be derived analytically, upon visual inspection of the T2 distributions obtained by two different NMR inversion methods. 2019 Journal Article http://hdl.handle.net/20.500.11937/72810 10.1016/j.petrol.2018.10.109 Elsevier fulltext |
| spellingShingle | Testamanti, M. Nadia Rezaee, M. Reza Considerations for the acquisition and inversion of NMR T2 data in shales |
| title | Considerations for the acquisition and inversion of NMR T2 data in shales |
| title_full | Considerations for the acquisition and inversion of NMR T2 data in shales |
| title_fullStr | Considerations for the acquisition and inversion of NMR T2 data in shales |
| title_full_unstemmed | Considerations for the acquisition and inversion of NMR T2 data in shales |
| title_short | Considerations for the acquisition and inversion of NMR T2 data in shales |
| title_sort | considerations for the acquisition and inversion of nmr t2 data in shales |
| url | http://hdl.handle.net/20.500.11937/72810 |