GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion

The completion of gravitational data inversion results in a smooth recovered model. GRAV3D is one software that can be used to solve 3D inversion problems of gravity data. Nevertheless there are still fundamental problems related to how to ensure the validity of GRAV3D to be used in 3D inversion. On...

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Main Authors: Mochamad Aryono Adhi, Wahyudi Wahyudi, Wiwit Suryanto, Muh Sarkowi
Format: Article
Language:English
Published: Universitas Negeri Semarang 2018-11-01
Series:Scientific Journal of Informatics
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Online Access:https://journal.unnes.ac.id/nju/index.php/sji/article/view/16736
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author Mochamad Aryono Adhi
Wahyudi Wahyudi
Wiwit Suryanto
Muh Sarkowi
author_facet Mochamad Aryono Adhi
Wahyudi Wahyudi
Wiwit Suryanto
Muh Sarkowi
author_sort Mochamad Aryono Adhi
collection DOAJ
description The completion of gravitational data inversion results in a smooth recovered model. GRAV3D is one software that can be used to solve 3D inversion problems of gravity data. Nevertheless there are still fundamental problems related to how to ensure the validity of GRAV3D to be used in 3D inversion. One approach used is to use lower bounds as inversion parameters. In this study lower bounds are set from  to . The results obtained show that the use of lower bounds decreases resulting in a larger data misfit which means that the more data that meets the tolerance calculation, the better recovered model produced.
format Article
id doaj-art-6a42f2eaf14e457d9360b6a91649732d
institution OA Journals
issn 2407-7658
language English
publishDate 2018-11-01
publisher Universitas Negeri Semarang
record_format Article
series Scientific Journal of Informatics
spelling doaj-art-6a42f2eaf14e457d9360b6a91649732d2025-08-20T02:13:30ZengUniversitas Negeri SemarangScientific Journal of Informatics2407-76582018-11-015227127710.15294/sji.v5i2.167368136GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data InversionMochamad Aryono Adhi0Wahyudi Wahyudi1Wiwit SuryantoMuh Sarkowi2Mathematics and Natural Science Semarang State UniversityPhysics Deparment FMIPA UGMUniversitas LampungThe completion of gravitational data inversion results in a smooth recovered model. GRAV3D is one software that can be used to solve 3D inversion problems of gravity data. Nevertheless there are still fundamental problems related to how to ensure the validity of GRAV3D to be used in 3D inversion. One approach used is to use lower bounds as inversion parameters. In this study lower bounds are set from  to . The results obtained show that the use of lower bounds decreases resulting in a larger data misfit which means that the more data that meets the tolerance calculation, the better recovered model produced.https://journal.unnes.ac.id/nju/index.php/sji/article/view/16736grav3d, 3d inversion, validation, lower bounds
spellingShingle Mochamad Aryono Adhi
Wahyudi Wahyudi
Wiwit Suryanto
Muh Sarkowi
GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion
Scientific Journal of Informatics
grav3d, 3d inversion, validation, lower bounds
title GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion
title_full GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion
title_fullStr GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion
title_full_unstemmed GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion
title_short GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion
title_sort grav3d validation using generalized cross validation gcv algorithm by lower bounds approach for 3d gravity data inversion
topic grav3d, 3d inversion, validation, lower bounds
url https://journal.unnes.ac.id/nju/index.php/sji/article/view/16736
work_keys_str_mv AT mochamadaryonoadhi grav3dvalidationusinggeneralizedcrossvalidationgcvalgorithmbylowerboundsapproachfor3dgravitydatainversion
AT wahyudiwahyudi grav3dvalidationusinggeneralizedcrossvalidationgcvalgorithmbylowerboundsapproachfor3dgravitydatainversion
AT wiwitsuryanto grav3dvalidationusinggeneralizedcrossvalidationgcvalgorithmbylowerboundsapproachfor3dgravitydatainversion
AT muhsarkowi grav3dvalidationusinggeneralizedcrossvalidationgcvalgorithmbylowerboundsapproachfor3dgravitydatainversion