Inverse Q-Filtering as a Tool for Seismic Resolution Enhancement: A Case Study from the Carpathian Foredeep
In this study, we analyze the quality factor- Q derived from the Vertical Seismic Profiling (VSP) and sonic log data that was performed in the DS-2 borehole located in the Carpathian Foredeep. We use the obtained quality factor distributions in the inverse Q-filtering (IQF) procedure during active s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/15/8564 |
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| author | Artur Piotr Łapinkiewicz Michał Martuś Anna Wachowicz-Pyzik Adam Cygal Tomasz Maćkowski Michał Stefaniuk |
| author_facet | Artur Piotr Łapinkiewicz Michał Martuś Anna Wachowicz-Pyzik Adam Cygal Tomasz Maćkowski Michał Stefaniuk |
| author_sort | Artur Piotr Łapinkiewicz |
| collection | DOAJ |
| description | In this study, we analyze the quality factor- Q derived from the Vertical Seismic Profiling (VSP) and sonic log data that was performed in the DS-2 borehole located in the Carpathian Foredeep. We use the obtained quality factor distributions in the inverse Q-filtering (IQF) procedure during active seismic data processing. Another very important and, unfortunately, subjective in nature parameter is the gain function applied to seismic data while performing the IQF. To calculate Q from VSP data we use an iterative approach to the spectral ratio method where we use several shallowest receivers as reference. We observe high variability of the obtained Q values, depending on the reference receiver, however, depth distribution of Q was consistent regardless To increase reliability of the obtained values, an additional method of Q measurements is incorporated, i.e., acoustic travel time dispersion method. We show that incorporating inverse Q-filtering to active seismic data processing flow allows to enhance the vertical resolution of 2D seismic data. |
| first_indexed | 2024-03-11T00:31:56Z |
| format | Article |
| id | doaj.art-08e15176c34d4a27a0f14dc10441b7f6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T00:31:56Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-08e15176c34d4a27a0f14dc10441b7f62023-11-18T22:34:34ZengMDPI AGApplied Sciences2076-34172023-07-011315856410.3390/app13158564Inverse Q-Filtering as a Tool for Seismic Resolution Enhancement: A Case Study from the Carpathian ForedeepArtur Piotr Łapinkiewicz0Michał Martuś1Anna Wachowicz-Pyzik2Adam Cygal3Tomasz Maćkowski4Michał Stefaniuk5Geo-Energy Innovations Sp. z o.o., Czarnowiejska 36/C5/017 Street, 30-054 Kraków, PolandGeo-Energy Innovations Sp. z o.o., Czarnowiejska 36/C5/017 Street, 30-054 Kraków, PolandGeo-Energy Innovations Sp. z o.o., Czarnowiejska 36/C5/017 Street, 30-054 Kraków, PolandGeo-Energy Innovations Sp. z o.o., Czarnowiejska 36/C5/017 Street, 30-054 Kraków, PolandGeo-Energy Innovations Sp. z o.o., Czarnowiejska 36/C5/017 Street, 30-054 Kraków, PolandGeo-Energy Innovations Sp. z o.o., Czarnowiejska 36/C5/017 Street, 30-054 Kraków, PolandIn this study, we analyze the quality factor- Q derived from the Vertical Seismic Profiling (VSP) and sonic log data that was performed in the DS-2 borehole located in the Carpathian Foredeep. We use the obtained quality factor distributions in the inverse Q-filtering (IQF) procedure during active seismic data processing. Another very important and, unfortunately, subjective in nature parameter is the gain function applied to seismic data while performing the IQF. To calculate Q from VSP data we use an iterative approach to the spectral ratio method where we use several shallowest receivers as reference. We observe high variability of the obtained Q values, depending on the reference receiver, however, depth distribution of Q was consistent regardless To increase reliability of the obtained values, an additional method of Q measurements is incorporated, i.e., acoustic travel time dispersion method. We show that incorporating inverse Q-filtering to active seismic data processing flow allows to enhance the vertical resolution of 2D seismic data.https://www.mdpi.com/2076-3417/13/15/8564quality factorseismic processinginverse Q-filtering |
| spellingShingle | Artur Piotr Łapinkiewicz Michał Martuś Anna Wachowicz-Pyzik Adam Cygal Tomasz Maćkowski Michał Stefaniuk Inverse Q-Filtering as a Tool for Seismic Resolution Enhancement: A Case Study from the Carpathian Foredeep Applied Sciences quality factor seismic processing inverse Q-filtering |
| title | Inverse Q-Filtering as a Tool for Seismic Resolution Enhancement: A Case Study from the Carpathian Foredeep |
| title_full | Inverse Q-Filtering as a Tool for Seismic Resolution Enhancement: A Case Study from the Carpathian Foredeep |
| title_fullStr | Inverse Q-Filtering as a Tool for Seismic Resolution Enhancement: A Case Study from the Carpathian Foredeep |
| title_full_unstemmed | Inverse Q-Filtering as a Tool for Seismic Resolution Enhancement: A Case Study from the Carpathian Foredeep |
| title_short | Inverse Q-Filtering as a Tool for Seismic Resolution Enhancement: A Case Study from the Carpathian Foredeep |
| title_sort | inverse q filtering as a tool for seismic resolution enhancement a case study from the carpathian foredeep |
| topic | quality factor seismic processing inverse Q-filtering |
| url | https://www.mdpi.com/2076-3417/13/15/8564 |
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