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Two-dimensional (2-D) modeling of magnetotelluric (MT) using edge finite-element method: Case of Papandayan field data
Roodhiyah L.Y.a, Tjong T.a, Nurhasana, Sutarno D.a
a Electromagnetic Induction Lab., Physics of Complex System Div., Faculty of Mathematics and Natural Sciences, Institut Teknologi, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 Author(s).Edge finite element (finite vector element), which is solved using a sparse direct solver (PARDISO) has been used in this paper to model 2-D magnetotelluric field data (Papandayan field data). The site sounding of the field data which is used on this modeling is eight site soundings. Before using this program to model Papandayan field data, our program has been verified using COMMEMI test model. Then it showed that our program worked perfectly well. In this work, we showed how 2-D magnetotelluric modeling scheme, which is developed, can model field data. First, the generating mesh to the field data and choosing the appropriate model are reviewed. Pseudo-cross-section of the field data is important prior information needed to define the appropriate model. Second, the accuracy of the modeling result (apparent resistivity and phase) is compared to field data. In the end, it has shown that the modeling result has a good agreement with the field data in which a conductive anomaly (1.5-5 ?·m) is showed by our program in around 200-2200 m.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]This work is supported by Directotrate General of Human Resource for Science, Technology and Higher Education (DIKTI) for the financial support through Program Pendidikan Magister Menuju Doktor untuk Sarjana Unggul (PMDSU) program.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1063/5.0016150[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]