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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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 |
work_keys_str_mv |
AT eunyounglee compactiontrendestimationandapplicationstosedimentarybasinreconstructionbasinvis20 AT johannesnovotny compactiontrendestimationandapplicationstosedimentarybasinreconstructionbasinvis20 AT michaelwagreich compactiontrendestimationandapplicationstosedimentarybasinreconstructionbasinvis20 |
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