Hariyadi, Hariyadi and Setiawan, Jatmika and Kristanto, Dedy and Nugroho, Nur Arief (2021) Three-Dimensional Reservoir Modeling Based on Geostatistical Analysis to Determine Volumetric Oil in Place of Alpha Zone. International Journal of Geology and Earth Sciences, 7 (2).
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Abstract
The research of three-dimensional (3D) reservoir
modeling of Alpha Zone is located in Balikpapan Formation
Kutei Basin, East Kalimantan. The lithological analysis
shows that Alpha Zone consists of sandstones,
mudstone/shale and coal, which vertically and laterally
distributed based on 206 wells and 3D seismic. Based on the
results of petrophysical analysis, well and controlled
correlation with seismic horizon picking, produced a pattern
of fault trending NE-SW relative to the pattern trending
anticline structure relative North-South, where the
distributions of Alpha Zone have an average gross thickness
of 9-15 meter and average net sandstone is 4-11 meter.
Lithofacies approach method also used, which divided into
three lithofacies sandstone, shale, and coal, which have
sandstone facies distributions NW-SE, where the percentage
of the distributions is 20%. The 3D reservoir modeling
framework conducted is based on the reservoir depth
structure maps generated from picking seismic and
controlled by the correlation between wells. Distribution of
reservoir properties include facies, Vshale, porosity, and
water saturation (Sw), in making the property distribution
is based on the analysis of the distribution wells using
geostatistical variogram, where the results are validated
against production data, so we will get an integrated 3D
reservoir modeling of Alpha Zone. Furthermore, based on
the volumetric determination of Original Oil in Place (OOIP)
in Alpha Zone acquired 2.35 MMbbl.
Index Terms—geostatistical analysis, reservoir modeling,
facies, petrophysic
Item Type: | Article |
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Uncontrolled Keywords: | Terms—geostatistical analysis, reservoir modeling, facies, petrophysi |
Subjects: | Q Science > Q Science (General) |
Depositing User: | Dr.Ir, MT Dedy Kristanto |
Date Deposited: | 31 Mar 2023 14:16 |
Last Modified: | 31 Mar 2023 14:17 |
URI: | http://eprints.upnyk.ac.id/id/eprint/33094 |
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