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Lindu Software: A Free Seismological Data Processing Software for Traveltime Tomography Using Python Framework
Styawan Y.a, Firdaus R.a, Yudistira T.b, Suhendi C.a
a Geophysical Engineering, Department of Industrial Technology, Institut Teknologi Sumatera, Lampung Selatan, Indonesia
b Geophysical Engineering, Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung, 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 Published under licence by IOP Publishing Ltd.Earthquake data can be used to infer some physical properties for representing the subsurface condition. The 3-Dimensional (3D) seismic velocity structure as a kind of these important properties contains the information of variation in lithology change and fluid saturation. The most common method for inverting from the travel time of seismic event into 3D seismic velocity structure is travel time tomography which is based on the relation between velocity and travel time of P-and S-wave. Based on this concept, we develop a module of Lindu software to infer this seismic velocity structure from travel time data. This module is a part of seismological data processing sequences that have been integrated into Lindu software. The Lindu software uses Python framework, a kind of high-level programming languages. The pseudo-bending raytracing method is employed to calculate the travel time between the event sources and stations and also to build the kernel matrix. The resolution test that relates density of rays and resulted tomogram uses the synthetic Checkerboard Resolution Test (CRT) by using Damped-Least Squares (DLS) method for the inversion. For validating this module, it has been tested by using both synthetic and real data.[/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]Damped least squares (DLS),High-level programming language,Ray-tracing method,Seismic velocity structure,Seismological data,Subsurface conditions,Synthetic and real data,Travel time tomography[/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][/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/10.1088/1755-1315/537/1/012017[/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]