Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea
This paper is devoted to the statistical analysis of dependence between fault length (L) and displacement (D). The main purpose of this work is to study the scaling relations between fault length and displacement using a database that includes datasets of 21 faults with geometric data extracted from...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Geosciences |
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| Online Access: | https://www.mdpi.com/2076-3263/8/11/421 |
| _version_ | 1819210629764874240 |
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| author | Dmitriy Kolyukhin Anita Torabi Audun Libak Behzad Alaei Tatiana Khachkova |
| author_facet | Dmitriy Kolyukhin Anita Torabi Audun Libak Behzad Alaei Tatiana Khachkova |
| author_sort | Dmitriy Kolyukhin |
| collection | DOAJ |
| description | This paper is devoted to the statistical analysis of dependence between fault length (L) and displacement (D). The main purpose of this work is to study the scaling relations between fault length and displacement using a database that includes datasets of 21 faults with geometric data extracted from 3D seismic coherence cubes of the Norwegian Barents Sea. Multiple linear regression and Bayesian and Akaike information criterions are applied to obtain optimal regression parameters. Our dataset is unique since it includes segment lengths of individual faults, unlike the previously published datasets. Hence, we studied both the dependence of fault segment length and accumulated fault length on displacement. The latter relation (accumulated fault length versus displacement) shows a general agreement (positive correlation and power-law relation) with the previously published results that are mainly obtained from outcrop studies, although the slopes vary for different lithologies. The differences could be attributed to the unique characteristics of our dataset that includes data of all segment lengths of individual faults. |
| first_indexed | 2024-12-23T06:14:13Z |
| format | Article |
| id | doaj.art-3b2e2123b682417bb3072d9616cabca4 |
| institution | Directory Open Access Journal |
| issn | 2076-3263 |
| language | English |
| last_indexed | 2024-12-23T06:14:13Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj.art-3b2e2123b682417bb3072d9616cabca42022-12-21T17:57:22ZengMDPI AGGeosciences2076-32632018-11-0181142110.3390/geosciences8110421geosciences8110421Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents SeaDmitriy Kolyukhin0Anita Torabi1Audun Libak2Behzad Alaei3Tatiana Khachkova4Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, pr. Koptyuga, 3, 630090 Novosibirsk, RussiaNORCE Norwegian Research Centre, Nygaardsgaten 112, 5008 Bergen, NorwayNORCE Norwegian Research Centre, Nygaardsgaten 112, 5008 Bergen, NorwayEarth Science Analytics AS, 4021 Stavanger, NorwayTrofimuk Institute of Petroleum Geology and Geophysics SB RAS, pr. Koptyuga, 3, 630090 Novosibirsk, RussiaThis paper is devoted to the statistical analysis of dependence between fault length (L) and displacement (D). The main purpose of this work is to study the scaling relations between fault length and displacement using a database that includes datasets of 21 faults with geometric data extracted from 3D seismic coherence cubes of the Norwegian Barents Sea. Multiple linear regression and Bayesian and Akaike information criterions are applied to obtain optimal regression parameters. Our dataset is unique since it includes segment lengths of individual faults, unlike the previously published datasets. Hence, we studied both the dependence of fault segment length and accumulated fault length on displacement. The latter relation (accumulated fault length versus displacement) shows a general agreement (positive correlation and power-law relation) with the previously published results that are mainly obtained from outcrop studies, although the slopes vary for different lithologies. The differences could be attributed to the unique characteristics of our dataset that includes data of all segment lengths of individual faults.https://www.mdpi.com/2076-3263/8/11/421fault attributesseismic attributesdisplacementlengthAkaike information criterionBayesian information criterion |
| spellingShingle | Dmitriy Kolyukhin Anita Torabi Audun Libak Behzad Alaei Tatiana Khachkova Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea Geosciences fault attributes seismic attributes displacement length Akaike information criterion Bayesian information criterion |
| title | Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea |
| title_full | Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea |
| title_fullStr | Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea |
| title_full_unstemmed | Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea |
| title_short | Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea |
| title_sort | statistical analysis of displacement and length relation for normal faults in the barents sea |
| topic | fault attributes seismic attributes displacement length Akaike information criterion Bayesian information criterion |
| url | https://www.mdpi.com/2076-3263/8/11/421 |
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