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A METHOD FOR CORRECTING BIAS IN SPONTANEOUS POTENTIAL (SP) LOG READING DUE TO HEAVY PRESENCE OF METALLIC MINERALS

Scientific Contributions Oil and Gas · Vol. 28 No. 1 (2022) · hlm. 32–38

DOI
10.29017/SCOG.28.1.1037
ISSN
2541-0520, 2089-3361
Terbit
2022-03-30
Penerbit
Testing Center for Oil and Gas LEMIGAS
Bahasa
eng
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

In reservoir characterization and modeling, information derived from well log surveys (Figure 1) plays an important role. Petrophysical properties such as porosity and water saturation are important factors in the determination of hydrocarbon accumulation. (The same is true for the determination of reservoir geometrical dimensions.) Inaccurate Spontaneous Potential (SP) log derived shale contents (V) results in inaccurate porosity and water saturation. SP log is catagorized as lithology log, which primary role is to differentiate between permeable zones and non- permeable zones (i.e. shale). SP log also has secondary purposes such as determination of shale contents and formation water resistivity, as well as its use in many reservoir geological analyses. Some problems that are often asscociated with geological complexity in Indonesia is that many subsurface formations contains significant amount of minerals that have the potential to bias log survey reading including SP log's. Considering SP log's wide span of presence, misleading SP log reading may also have adverse consequence at wider scale. Therefore, a measure is required to minimize the SP log's potential bias due to presence of metallic minerals. The method presented in this paper is suggested to be used for the purpose.

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  • National Research and Innovation Agency
  • Hasanuddin University
  • Universitas Merdeka Madiun
  • University of Indonesia
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Junita Trivianty MusuAfiliasi tidak diketahui7
Fakhriyadi SaptonoAfiliasi tidak diketahui5
Suliantara SuliantaraNational Research and Innovation Agency4
Herru Lastiadi SetiawanNational Research and Innovation Agency4
Heru AtmokoAfiliasi tidak diketahui4
Tri Muji SusantoroNational Research and Innovation Agency3
Suprajitno MunadiAfiliasi tidak diketahui2
Ridwan RidwanHasanuddin University2
Kosasih KosasihAfiliasi tidak diketahui2
Merkurius. F. MendrofaAfiliasi tidak diketahui2
Djoko SunarjantoNational Research and Innovation Agency2
Mohamad RomliNational Research and Innovation Agency2
Diana DwiyanartiNational Research and Innovation Agency2
Aziz Masykur LubadAfiliasi tidak diketahui2
Herizal HerizalNational Research and Innovation Agency2
Nurkamelia NurkameliaNational Research and Innovation Agency2
Sunting KepiesNational Research and Innovation Agency2
Jonathan Setyoko HadimuljonoAfiliasi tidak diketahui1
Julikah JulikahAfiliasi tidak diketahui1
Desi YensusminarAfiliasi tidak diketahui1
Ongki Ari PrayogaAfiliasi tidak diketahui1
Yusep K CaryanaAfiliasi tidak diketahui1
Maizar RahmanAfiliasi tidak diketahui1
Hadi PrasetyoAfiliasi tidak diketahui1
Kosasih SartadiredjaAfiliasi tidak diketahui1
Bambang A WidjayantoAfiliasi tidak diketahui1
Tunggal TunggalAfiliasi tidak diketahui1
Ridwan RidwanUniversitas Merdeka Madiun1
Patrick M. WongAfiliasi tidak diketahui1
Himawan SutantoAfiliasi tidak diketahui1
Humbang PurbaAfiliasi tidak diketahui1
Andi RuswandiAfiliasi tidak diketahui1
Septi AnggraeniAfiliasi tidak diketahui1
Sugihardjo SugihardjoNational Research and Innovation Agency1
Panca WahyudiNational Research and Innovation Agency1
Danang SismartonoUniversity of Indonesia1
Wanda Ali AkbarAfiliasi tidak diketahui1
Usman UsmanNational Research and Innovation Agency1
Arie RahmadiNational Research and Innovation Agency1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.lemigas.esdm.go.id/index.php/SCOG/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">A METHOD FOR CORRECTING BIAS IN SPONTANEOUS POTENTIAL (SP) LOG  READING DUE TO HEAVY PRESENCE OF METALLIC MINERALS</dc:title>
	<dc:creator xml:lang="en">Widarsono, Bambang</dc:creator>
	<dc:subject xml:lang="en">Spontaneous Potential (Sp)</dc:subject>
	<dc:subject xml:lang="en">Heavy Presence</dc:subject>
	<dc:subject xml:lang="en">Metallic Minerals</dc:subject>
	<dc:description xml:lang="en">In reservoir characterization and modeling, information derived from well log surveys (Figure 1) plays an important role. Petrophysical properties such as porosity and water saturation are important factors in the determination of hydrocarbon accumulation. (The same is true for the determination of reservoir geometrical dimensions.) Inaccurate Spontaneous Potential (SP) log derived shale contents (V) results in inaccurate porosity and water saturation. SP log is catagorized as lithology log, which primary role is to differentiate between permeable zones and non- permeable zones (i.e. shale). SP log also has secondary purposes such as determination of shale contents and formation water resistivity, as well as its use in many reservoir geological analyses. Some problems that are often asscociated with geological complexity in Indonesia is that many subsurface formations contains significant amount of minerals that have the potential to bias log survey reading including SP log's. Considering SP log's wide span of presence, misleading SP log reading may also have adverse consequence at wider scale. Therefore, a measure is required to minimize the SP log's potential bias due to presence of metallic minerals. The method presented in this paper is suggested to be used for the purpose.</dc:description>
	<dc:publisher xml:lang="en">Testing Center for Oil and Gas LEMIGAS</dc:publisher>
	<dc:date>2022-03-30</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://journal.lemigas.esdm.go.id/index.php/SCOG/article/view/1037</dc:identifier>
	<dc:identifier>10.29017/SCOG.28.1.1037</dc:identifier>
	<dc:source xml:lang="en">Scientific Contributions Oil and Gas; Vol. 28 No. 1 (2005); 32-38</dc:source>
	<dc:source xml:lang="id">Scientific Contributions Oil and Gas; Vol 28 No 1 (2005); 32-38</dc:source>
	<dc:source>2541-0520</dc:source>
	<dc:source>2089-3361</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.lemigas.esdm.go.id/index.php/SCOG/article/view/1037/826</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 1970 SCIENTIFIC CONTRIBUTIONS OIL AND GAS (SCOG)</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>