Array-conditioned deconvolution of multiple component teleseismic recordings
We investigate the applicability of an array-conditioned deconvolution technique, developed for analyzing borehole seismic exploration data, to teleseismic receiver functions and data preprocessing steps for scattered wavefield imaging. This multichannel deconvolution technique constructs an approxi...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Technical Report |
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Massachusetts Institute of Technology. Earth Resources Laboratory
2012
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| Online Access: | http://hdl.handle.net/1721.1/68592 |
| _version_ | 1826206896914169856 |
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| author | Chen, C. -W. Rondenay, Stephane Miller, D. E. Djikpesse, H. A. |
| author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
| author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Chen, C. -W. Rondenay, Stephane Miller, D. E. Djikpesse, H. A. |
| author_sort | Chen, C. -W. |
| collection | MIT |
| description | We investigate the applicability of an array-conditioned deconvolution technique, developed for analyzing borehole seismic exploration data, to teleseismic receiver functions and data preprocessing steps for scattered wavefield imaging. This multichannel deconvolution technique constructs an approximate inverse filter to the estimated source signature by solving an overdetermined set of deconvolution equations, using an array of receivers detecting a common source. We find that this technique improves the efficiency and automation of receiverfunction calculation and data preprocessing workflow. We apply this technique to synthetic experiments and to teleseismic data recorded in a dense array in northern Canada. Our results show that this optimal deconvolution automatically determines and subsequently attenuates the noise from data, enhancing P-to-S converted phases in seismograms with various noise levels. In this context, the array-conditioned deconvolution presents a new, effective and automatic means for processing large amounts of array data, as it does not require any ad-hoc regularization; the regularization is achieved naturally by using the noise present in the array itself. |
| first_indexed | 2024-09-23T13:40:39Z |
| format | Technical Report |
| id | mit-1721.1/68592 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:40:39Z |
| publishDate | 2012 |
| publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/685922019-04-12T15:20:20Z Array-conditioned deconvolution of multiple component teleseismic recordings Chen, C. -W. Rondenay, Stephane Miller, D. E. Djikpesse, H. A. Massachusetts Institute of Technology. Earth Resources Laboratory Chen, C. -W. Rondenay, Stephane Inversion We investigate the applicability of an array-conditioned deconvolution technique, developed for analyzing borehole seismic exploration data, to teleseismic receiver functions and data preprocessing steps for scattered wavefield imaging. This multichannel deconvolution technique constructs an approximate inverse filter to the estimated source signature by solving an overdetermined set of deconvolution equations, using an array of receivers detecting a common source. We find that this technique improves the efficiency and automation of receiverfunction calculation and data preprocessing workflow. We apply this technique to synthetic experiments and to teleseismic data recorded in a dense array in northern Canada. Our results show that this optimal deconvolution automatically determines and subsequently attenuates the noise from data, enhancing P-to-S converted phases in seismograms with various noise levels. In this context, the array-conditioned deconvolution presents a new, effective and automatic means for processing large amounts of array data, as it does not require any ad-hoc regularization; the regularization is achieved naturally by using the noise present in the array itself. 2012-01-17T16:30:31Z 2012-01-17T16:30:31Z 2010-01-01 Technical Report http://hdl.handle.net/1721.1/68592 Earth Resources Laboratory Industry Consortia Annual Report;2010-16 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
| spellingShingle | Inversion Chen, C. -W. Rondenay, Stephane Miller, D. E. Djikpesse, H. A. Array-conditioned deconvolution of multiple component teleseismic recordings |
| title | Array-conditioned deconvolution of multiple component teleseismic recordings |
| title_full | Array-conditioned deconvolution of multiple component teleseismic recordings |
| title_fullStr | Array-conditioned deconvolution of multiple component teleseismic recordings |
| title_full_unstemmed | Array-conditioned deconvolution of multiple component teleseismic recordings |
| title_short | Array-conditioned deconvolution of multiple component teleseismic recordings |
| title_sort | array conditioned deconvolution of multiple component teleseismic recordings |
| topic | Inversion |
| url | http://hdl.handle.net/1721.1/68592 |
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