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Choice Of Water Saturation Model In Log Analysis And Its Implication To Water Saturation Estimates – A Further Investigation

Scientific Contributions Oil and Gas · Vol. 35 No. 3 (2022) · hlm. 99–107

DOI
10.29017/SCOG.35.3.782
ISSN
2541-0520, 2089-3361
Terbit
2022-03-10
Penerbit
Testing Center for Oil and Gas LEMIGAS
Bahasa
eng
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Water saturation is one of the most important governing factors in hydrocarbon in place and reserves estimation. Error in the estimation of water saturation may signifi cantly impose bias in the estimation of both quantities. In spite of there are various factors affecting potential error in water saturation estimation, choice in water saturation model(s) appears to play an important factor. This study involves eight water saturation models that are widely used in log analysis up until today. Using the same input data, the eight models have proved themseleves to have produced different water saturation estimates. Using a moderate level of water saturation error of 20% evaluation may result in up to 50% error in the reserves estimates. Observing the wide disparities in the estimated water saturation values yielded by the models used in this study, errors higher than 50% may take place. This evidence should strengthen our awareness over the potential error and careful applications of model(s) – and validation of results – that have to be observed.

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Fakhriyadi SaptonoAfiliasi tidak diketahui5
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Heru AtmokoAfiliasi tidak diketahui4
Tri Muji SusantoroAfiliasi tidak diketahui3
Ridwan RidwanHasanuddin University3
Herru Lastiadi SetiawanAfiliasi tidak diketahui2
Suprajitno MunadiAfiliasi tidak diketahui2
Kosasih KosasihAfiliasi tidak diketahui2
Merkurius F MendrofaAfiliasi tidak diketahui2
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Danang SismartonoUniversity of Indonesia1
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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">Choice Of Water Saturation Model In Log Analysis And Its Implication To Water Saturation Estimates – A Further Investigation</dc:title>
	<dc:creator xml:lang="en">Widarsono, Bambang</dc:creator>
	<dc:subject xml:lang="en">water saturation</dc:subject>
	<dc:subject xml:lang="en">choice of water saturation model</dc:subject>
	<dc:subject xml:lang="en">error in reserves</dc:subject>
	<dc:subject xml:lang="en">careful application of model</dc:subject>
	<dc:description xml:lang="en">Water saturation is one of the most important governing factors in hydrocarbon in place and reserves estimation. Error in the estimation of water saturation may signifi cantly impose bias in the estimation of both quantities. In spite of there are various factors affecting potential error in water saturation estimation, choice in water saturation model(s) appears to play an important factor. This study involves eight water saturation models that are widely used in log analysis up until today. Using the same input data, the eight models have proved themseleves to have produced different water saturation estimates. Using a moderate level of water saturation error of 20% evaluation may result in up to 50% error in the reserves estimates. Observing the wide disparities in the estimated water saturation values yielded by the models used in this study, errors higher than 50% may take place. This evidence should strengthen our awareness over the potential error and careful applications of model(s) – and validation of results – that have to be observed.</dc:description>
	<dc:publisher xml:lang="en">Testing Center for Oil and Gas LEMIGAS</dc:publisher>
	<dc:date>2022-03-10</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/782</dc:identifier>
	<dc:identifier>10.29017/SCOG.35.3.782</dc:identifier>
	<dc:source xml:lang="en">Scientific Contributions Oil and Gas; Vol. 35 No. 3 (2012); 99-107</dc:source>
	<dc:source xml:lang="id">Scientific Contributions Oil and Gas; Vol 35 No 3 (2012); 99-107</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/782/569</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>