Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data
This research is oriented to the development and implementation of signal processing techniques for the analysis of drilling data with a focus on adaptive filters and segmentation schemes. The thesis is divided into two distinct parts; the first part deals with the use of extended Kalman filters to...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/57584 |
| _version_ | 1848760062325030912 |
|---|---|
| author | Soroush, Amirali |
| author_facet | Soroush, Amirali |
| author_sort | Soroush, Amirali |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This research is oriented to the development and implementation of signal processing techniques for the analysis of drilling data with a focus on adaptive filters and segmentation schemes. The thesis is divided into two distinct parts; the first part deals with the use of extended Kalman filters to estimate in real-time the instantaneous angular velocity of the drilling bit using downhole measurements, while the second part is devoted to a novel method for the segmentation of piece-wise linear signals corrupted with noise. |
| first_indexed | 2025-11-14T10:09:48Z |
| format | Thesis |
| id | curtin-20.500.11937-57584 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:09:48Z |
| publishDate | 2012 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-575842017-11-16T04:59:10Z Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data Soroush, Amirali This research is oriented to the development and implementation of signal processing techniques for the analysis of drilling data with a focus on adaptive filters and segmentation schemes. The thesis is divided into two distinct parts; the first part deals with the use of extended Kalman filters to estimate in real-time the instantaneous angular velocity of the drilling bit using downhole measurements, while the second part is devoted to a novel method for the segmentation of piece-wise linear signals corrupted with noise. 2012 Thesis http://hdl.handle.net/20.500.11937/57584 Curtin University fulltext |
| spellingShingle | Soroush, Amirali Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data |
| title | Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data |
| title_full | Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data |
| title_fullStr | Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data |
| title_full_unstemmed | Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data |
| title_short | Extended Kalman filters and piece-wise linear segmentation for the processing of drilling data |
| title_sort | extended kalman filters and piece-wise linear segmentation for the processing of drilling data |
| url | http://hdl.handle.net/20.500.11937/57584 |