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Annotation of Using Borehole Time-Lapse Gravity by Genetic Algorithm Inversion for Subsurface Modeling

Journal of Engineering and Technological Sciences · Vol. 52 No. 2 (2020) · hlm. 153–165

DOI
10.5614/j.eng.technol.sci.2020.52.2.2
ISSN
2338-5502, 2337-5779
Terbit
2020-04-30
Penerbit
Directorate for Research and Community Services, Institut Teknologi Bandung
Bahasa
eng

Abstrak

We present the annotation to a genetic algorithm (GA) method for an inverse synthetic subsurface density model using surface and borehole time-lapse gravity data. The objective of the inversion is to find the boundaries of the object area and background, where one bit of the chromosome represents the densities. The model that was used in this paper was a simple homogeneous body anomaly and a simplified real water mass injection model in order to argue that the code is suitable for field modeling. We show the influences of the existence of borehole gravity data and location towards the inversion, where the result indicates that an additional good borehole location could increase the success rate up to 13.33% compared to without gravity borehole data for the simple model and up to 4.39% for the field model. The inversion produced the best results when the borehole positions were placed in a state of symmetry towards the body object's mass.

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25 penulis · 71 tautan kepenulisan bersama · 26 lintas organisasi

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  • Bandung Institute of Technology
  • Islamic University of Riau
  • University of Pembangunan Nasional Veteran Jawa Timur
  • Pertamina (Indonesia)
  • Victoria University
  • Badan Geologi
  • Universitas Pertamina
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Rekan penulisOrganisasiArtikel bersama
Djoko SantosoBandung Institute of Technology4
Kamrul AhsanVictoria University1
Wiwik HandayaniUniversity of Pembangunan Nasional Veteran Jawa Timur1
Nanik HariyanaUniversity of Pembangunan Nasional Veteran Jawa Timur1
Nanang T. PuspitoBandung Institute of Technology1
Accep HandyarsoBadan Geologi1
Muslim Darbi AbdurrahmanIslamic University of Riau1
Muhamad Raihan Al FikriIslamic University of Riau1
Veni Dwi Amelia PutriIslamic University of Riau1
Novia RitaIslamic University of Riau1
Rachmat SuleBandung Institute of Technology1
Junita Trivianty MusuAfiliasi tidak diketahui1
Asep Kurnia PermadiBandung Institute of Technology1
Oki HedrianaBandung Institute of Technology1
Dewi MersitariniPertamina (Indonesia)1
Dimas ArdiyantaPertamina (Indonesia)1
Sofyan SumarnaUniversitas Pertamina1
Marlon NauwBandung Institute of Technology1
Benyamin SapiieBandung Institute of Technology1
Dwiharso NugrohoBandung Institute of Technology1

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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">Annotation of Using Borehole Time-Lapse Gravity by Genetic Algorithm Inversion for Subsurface Modeling</dc:title>
	<dc:creator>Gunawan, Indra</dc:creator>
	<dc:creator>Wahyudi, Eko Januari</dc:creator>
	<dc:creator>Alawiyah, Susanti</dc:creator>
	<dc:creator>Kadir, Wawan Gunawan Abdul</dc:creator>
	<dc:creator>Fauzi, Umar</dc:creator>
	<dc:subject xml:lang="en-US">genetic algorithm</dc:subject>
	<dc:subject xml:lang="en-US">gravity inversion</dc:subject>
	<dc:subject xml:lang="en-US">subsurface modeling</dc:subject>
	<dc:subject xml:lang="en-US">surface and borehole gravity</dc:subject>
	<dc:subject xml:lang="en-US">time-lapse gravity</dc:subject>
	<dc:description xml:lang="en-US">We present the annotation to a genetic algorithm (GA) method for an inverse synthetic subsurface density model using surface and borehole time-lapse gravity data. The objective of the inversion is to find the boundaries of the object area and background, where one bit of the chromosome represents the densities. The model that was used in this paper was a simple homogeneous body anomaly and a simplified real water mass injection model in order to argue that the code is suitable for field modeling. We show the influences of the existence of borehole gravity data and location towards the inversion, where the result indicates that an additional good borehole location could increase the success rate up to 13.33% compared to without gravity borehole data for the simple model and up to 4.39% for the field model. The inversion produced the best results when the borehole positions were placed in a state of symmetry towards the body object's mass.</dc:description>
	<dc:publisher xml:lang="en-US">Directorate for Research and Community Services, Institut Teknologi Bandung</dc:publisher>
	<dc:date>2020-04-30</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/11859</dc:identifier>
	<dc:identifier>10.5614/j.eng.technol.sci.2020.52.2.2</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Engineering and Technological Sciences; Vol. 52 No. 2 (2020); 153-165</dc:source>
	<dc:source>2338-5502</dc:source>
	<dc:source>2337-5779</dc:source>
	<dc:source>10.5614/j.eng.technol.sci.2020.52.2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jets/article/view/11859/pdf_58</dc:relation>
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