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Global Inversion of Grounded Electric Source Time-domain Electromagnetic Data Using Particle Swarm Optimization

Journal of Engineering and Technological Sciences · Vol. 53 No. 1 (2021)

DOI
10.5614/j.eng.technol.sci.2021.53.1.1
ISSN
2338-5502, 2337-5779
Terbit
2021-01-18
Penerbit
Directorate for Research and Community Services, Institut Teknologi Bandung
Bahasa
eng

Abstrak

Global optimization inversion of grounded wire time-domain electromagnetic (TDEM) data was implemented through application of the particle swarm optimization (PSO) algorithm. This probabilistic approach is an alternative to the widely used deterministic local-optimization approach. In the PSO algorithm, each particle that constitutes the swarm epitomizes a probable geophysical model comprised by subsurface resistivity values at several layers and layer thicknesses. The forward formulation of the TDEM problem for calculating the vertical component of the induced magnetic field is first expressed in the Laplace domain. Transformation of the magnetic field from the Laplace domain into the time domain is performed by applying the Gaver-Stehfest numerical method. The implementation of PSO inversion to the TDEM problem is straightforward. It only requires adjustment of a few inversion parameters such as inertia, acceleration coefficients and numbers of iteration and particles. The PSO inversion scheme was tested on synthetic noise-free data and noisy synthetic data as well as to field data recorded in a volcanic-geothermal area. The results suggest that the PSO inversion scheme can effectively solve the TDEM 1D stratified earth problem.

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  • Bandung Institute of Technology
  • IPB University
  • Institut Teknologi Sepuluh Nopember
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Rekan penulisOrganisasiArtikel bersama
Mitra DjamalBandung Institute of Technology3
Irwan MeilanoAfiliasi tidak diketahui3
Hendra GunawanAfiliasi tidak diketahui2
Ratih KumalasariAfiliasi tidak diketahui2
Eleonora AgustineAfiliasi tidak diketahui2
Sorja KoesumaAfiliasi tidak diketahui2
R. KurniaBandung Institute of Technology1
Suprijadi SuprijadiBandung Institute of Technology1
Melany FebrinaAfiliasi tidak diketahui1
Eko SatriaAfiliasi tidak diketahui1
Martin LiessAfiliasi tidak diketahui1
Husnul HamdiAfiliasi tidak diketahui1
Rustan RustanAfiliasi tidak diketahui1
Ramadhani Eka PutraAfiliasi tidak diketahui1
Nadia Damika PutriAfiliasi tidak diketahui1
Mariyanto MariyantoInstitut Teknologi Sepuluh Nopember1
Rina Dwi IndrianaAfiliasi tidak diketahui1
Eleonora AgustinAfiliasi tidak diketahui1
Mimin IryantiAfiliasi tidak diketahui1
Abdul Latif AshadiAfiliasi tidak diketahui1
Nina Siti AminahBandung Institute of Technology1
Ari SetiawanAfiliasi tidak diketahui1
Irzaman IrzamanIPB University1
Perdinan PerdinanIPB University1
Retna ApsariAfiliasi tidak diketahui1
Wiwit SuryantoAfiliasi tidak diketahui1
Imam SuyantoAfiliasi tidak diketahui1
Heriansyah PutraAfiliasi tidak diketahui1
Herlan DarmawanAfiliasi tidak diketahui1
Maria EvitaAfiliasi tidak diketahui1
Moh YasinAfiliasi tidak diketahui1
Wahyudi WahyudiAfiliasi tidak diketahui1
Ari Handono RamelanAfiliasi tidak diketahui1
Sri AningsihAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jets/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Global Inversion of Grounded Electric Source Time-domain Electromagnetic Data Using Particle Swarm Optimization</dc:title>
	<dc:creator>Hapsoro, Cahyo Aji</dc:creator>
	<dc:creator>Srigutomo, Wahyu</dc:creator>
	<dc:creator>Purqon, Acep</dc:creator>
	<dc:creator>warsa, Warsa</dc:creator>
	<dc:creator>Sutarno, Doddy</dc:creator>
	<dc:creator>Kagiyama, Tsuneomi</dc:creator>
	<dc:subject xml:lang="en-US">horizontal electric dipole</dc:subject>
	<dc:subject xml:lang="en-US">particle swarm optimization</dc:subject>
	<dc:subject xml:lang="en-US">resistivity</dc:subject>
	<dc:subject xml:lang="en-US">electromagnetic time-domain</dc:subject>
	<dc:subject xml:lang="en-US">synthetic and field data</dc:subject>
	<dc:subject xml:lang="en-US">volcanic-geothermal area</dc:subject>
	<dc:description xml:lang="en-US">Global optimization inversion of grounded wire time-domain electromagnetic (TDEM) data was implemented through application of the particle swarm optimization (PSO) algorithm. This probabilistic approach is an alternative to the widely used deterministic local-optimization approach. In the PSO algorithm, each particle that constitutes the swarm epitomizes a probable geophysical model comprised by subsurface resistivity values at several layers and layer thicknesses. The forward formulation of the TDEM problem for calculating the vertical component of the induced magnetic field is first expressed in the Laplace domain. Transformation of the magnetic field from the Laplace domain into the time domain is performed by applying the Gaver-Stehfest numerical method. The implementation of PSO inversion to the TDEM problem is straightforward. It only requires adjustment of a few inversion parameters such as inertia, acceleration coefficients and numbers of iteration and particles. The PSO inversion scheme was tested on synthetic noise-free data and noisy synthetic data as well as to field data recorded in a volcanic-geothermal area. The results suggest that the PSO inversion scheme can effectively solve the TDEM 1D stratified earth problem. </dc:description>
	<dc:publisher xml:lang="en-US">Directorate for Research and Community Services, Institut Teknologi Bandung</dc:publisher>
	<dc:date>2021-01-18</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jets/article/view/13001</dc:identifier>
	<dc:identifier>10.5614/j.eng.technol.sci.2021.53.1.1</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Engineering and Technological Sciences; Vol. 53 No. 1 (2021); 210101</dc:source>
	<dc:source>2338-5502</dc:source>
	<dc:source>2337-5779</dc:source>
	<dc:source>10.5614/j.eng.technol.sci.2021.53.1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jets/article/view/13001/pdf_108</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Journal of Engineering and Technological Sciences</dc:rights>
</oai_dc:dc>