Next Article in Journal
Precious Metal Enrichment at the Myra Falls VMS Deposit, British Columbia, Canada
Next Article in Special Issue
Comparison of the Sweetness Seismic Attribute and Porosity–Thickness Maps, Sava Depression, Croatia
Previous Article in Journal
The Impact of Biochar Incorporation on Inorganic Nitrogen Fertilizer Plant Uptake; An Opportunity for Carbon Sequestration in Temperate Agriculture
Previous Article in Special Issue
3D Numerical Modelling and Sensitivity Analysis of the Processes Controlling Organic Matter Distribution and Heterogeneity—A Case Study from the Toarcian of the Paris Basin
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Geosciences 2018, 8(11), 421; https://doi.org/10.3390/geosciences8110421

Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea

1
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS, pr. Koptyuga, 3, 630090 Novosibirsk, Russia
2
NORCE Norwegian Research Centre, Nygaardsgaten 112, 5008 Bergen, Norway
3
Earth Science Analytics AS, 4021 Stavanger, Norway
*
Author to whom correspondence should be addressed.
Received: 14 September 2018 / Revised: 25 October 2018 / Accepted: 12 November 2018 / Published: 14 November 2018
(This article belongs to the Special Issue Geostatistical Applications in Petroleum Geology)
Full-Text   |   PDF [3167 KB, uploaded 14 November 2018]   |  

Abstract

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. View Full-Text
Keywords: fault attributes; seismic attributes; displacement; length; Akaike information criterion; Bayesian information criterion fault attributes; seismic attributes; displacement; length; Akaike information criterion; Bayesian information criterion
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kolyukhin, D.; Torabi, A.; Libak, A.; Alaei, B.; Khachkova, T. Statistical Analysis of Displacement and Length Relation for Normal Faults in the Barents Sea. Geosciences 2018, 8, 421.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Geosciences EISSN 2076-3263 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top