Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)

BasinVis 1.0, a MATLAB-based modular open-source program released in 2016, has been used for multiple application studies of sedimentary basin analysis and modelling in both academic and industry fields. Based on these studies and user feedbacks, we have improved the workflow, revised user interface...

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Main Authors: Eun Young Lee, Johannes Novotny, Michael Wagreich
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:Applied Computing and Geosciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197419300151
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spelling doaj-a4ba8afeac7f486f8eea69924ab6ba122020-11-25T03:00:57ZengElsevierApplied Computing and Geosciences2590-19742020-03-015Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)Eun Young Lee0Johannes Novotny1Michael Wagreich2Faculty of Earth System and Environmental Sciences, Chonnam National University, Gwangju 61186, Republic of Korea; Corresponding author.Department of Computer Science, Brown University, Providence, RI 02906, USADepartment of Geodynamics and Sedimentology, University of Vienna, Vienna 1090, AustriaBasinVis 1.0, a MATLAB-based modular open-source program released in 2016, has been used for multiple application studies of sedimentary basin analysis and modelling in both academic and industry fields. Based on these studies and user feedbacks, we have improved the workflow, revised user interfaces and developed novel techniques for the compaction trend estimation of infilling sediments and its applications (decompaction process) to sedimentary basin reconstruction and visualization. These improved functions are implemented in BasinVis, upgrading the software to Version 2.0. This study introduces BasinVis 2.0 and demonstrates its functions through extensive case studies comprising of well data from the Perth Basin (Australia) and the Vienna Basin (Austria). Compaction trend estimation and decompaction process are crucial for analyzing numerical basin evolution (e.g., subsidence) and evaluating hydrocarbon reservoirs and geological storages. The compaction trend is estimated with improved accuracy using linear and exponential trending equations. The quality is evaluated using porosity-depth data from IODP Site U1459 and the industry well Houtman-1 in the northern Perth Basin, offshore southwestern Australia. Data from 38 industry wells in the southern Vienna Basin, central Europe, are applied to demonstrate the redesigned interfaces and new functions using the decompaction technique in the stratigraphic visualization process for basin reconstruction. The results provide useful and more detailed information for the compaction trends and the sedimentation setting during basin formation as well as changes during burial.http://www.sciencedirect.com/science/article/pii/S2590197419300151BasinVis 2.0Compaction trendDecompactionBasin reconstructionSubsidencePorosity-depth relation
collection DOAJ
language English
format Article
sources DOAJ
author Eun Young Lee
Johannes Novotny
Michael Wagreich
spellingShingle Eun Young Lee
Johannes Novotny
Michael Wagreich
Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)
Applied Computing and Geosciences
BasinVis 2.0
Compaction trend
Decompaction
Basin reconstruction
Subsidence
Porosity-depth relation
author_facet Eun Young Lee
Johannes Novotny
Michael Wagreich
author_sort Eun Young Lee
title Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)
title_short Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)
title_full Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)
title_fullStr Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)
title_full_unstemmed Compaction trend estimation and applications to sedimentary basin reconstruction (BasinVis 2.0)
title_sort compaction trend estimation and applications to sedimentary basin reconstruction (basinvis 2.0)
publisher Elsevier
series Applied Computing and Geosciences
issn 2590-1974
publishDate 2020-03-01
description BasinVis 1.0, a MATLAB-based modular open-source program released in 2016, has been used for multiple application studies of sedimentary basin analysis and modelling in both academic and industry fields. Based on these studies and user feedbacks, we have improved the workflow, revised user interfaces and developed novel techniques for the compaction trend estimation of infilling sediments and its applications (decompaction process) to sedimentary basin reconstruction and visualization. These improved functions are implemented in BasinVis, upgrading the software to Version 2.0. This study introduces BasinVis 2.0 and demonstrates its functions through extensive case studies comprising of well data from the Perth Basin (Australia) and the Vienna Basin (Austria). Compaction trend estimation and decompaction process are crucial for analyzing numerical basin evolution (e.g., subsidence) and evaluating hydrocarbon reservoirs and geological storages. The compaction trend is estimated with improved accuracy using linear and exponential trending equations. The quality is evaluated using porosity-depth data from IODP Site U1459 and the industry well Houtman-1 in the northern Perth Basin, offshore southwestern Australia. Data from 38 industry wells in the southern Vienna Basin, central Europe, are applied to demonstrate the redesigned interfaces and new functions using the decompaction technique in the stratigraphic visualization process for basin reconstruction. The results provide useful and more detailed information for the compaction trends and the sedimentation setting during basin formation as well as changes during burial.
topic BasinVis 2.0
Compaction trend
Decompaction
Basin reconstruction
Subsidence
Porosity-depth relation
url http://www.sciencedirect.com/science/article/pii/S2590197419300151
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