Robust and adaptive approaches for Relative Geologic Time Estimation
| العنوان: | Robust and adaptive approaches for Relative Geologic Time Estimation |
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| المؤلفون: | Marc Donias, Mireille El Gheche, Sebastien Guillon, Yannick Berthoumieu, Moctar Mounirou Arouna |
| المساهمون: | Laboratoire d'Informatique Gaspard-Monge (ligm), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Laboratoire de l'intégration, du matériau au système (IMS), Centre National de la Recherche Scientifique (CNRS)-Institut Polytechnique de Bordeaux-Université Sciences et Technologies - Bordeaux 1, Culture et Environnements, Préhistoire, Antiquité, Moyen-Age (CEPAM), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Signal Processing Laboratory [Lausanne] (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | Journal of Applied Geophysics Journal of Applied Geophysics, Elsevier, 2018, 159, pp.157-172. ⟨10.1016/j.jappgeo.2018.07.013⟩ |
| بيانات النشر: | HAL CCSD, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Weight function, convex optimization, 021103 operations research, relative geologic time (rgt), Computer science, regularizations, 0211 other engineering and technologies, Process (computing), proximal algorithms, 02 engineering and technology, 010502 geochemistry & geophysics, 01 natural sciences, Regularization (mathematics), Image (mathematics), Term (time), flattening, Geophysics, Robustness (computer science), Convex optimization, penality functions, Relevance (information retrieval), Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences |
| الوصف: | For a geoscientist, the Relative Geologic Time (RGT) is an important tool to perform chronostratigraphic analysis. However, automatically estimate an RGT image from a seismic image can be a challenging task where we have to respect seismic features, the deposit orders and to deal efficiently with unconformities such as erosions, progradating systems, etc. To this end, approaches have been proposed formulating the estimation problem in a regularized convex optimization problem. However none of these fully address efficiently all issues. In this paper, we propose a new regularization term based on an asymmetric and adaptive weight function. The asymmetric behavior focuses on the ill-posed problem while the adaptive process is used to deal with unconformities by modulating the strength of the regularization if necessary. Moreover, to increase the robustness of the approach, we propose variants of the method in terms of l(1)-norm instead of l(2)-norm that corresponds to potentially too smooth solutions. For evaluating the relevance of our proposals, experimentations have been conducted on both synthetic and real seismic images. (C) 2018 Elsevier B.V. All rights reserved. |
| اللغة: | English |
| تدمد: | 0926-9851 |
| DOI: | 10.1016/j.jappgeo.2018.07.013⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d973befd73e9529000d62fe7edb16ab9 https://hal.archives-ouvertes.fr/hal-02509426 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....d973befd73e9529000d62fe7edb16ab9 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 09269851 |
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| DOI: | 10.1016/j.jappgeo.2018.07.013⟩ |