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All Journal Journal of Geoscience, Engineering, Environment, and Technology Bulletin of Geology
Kusumah, Epo Prasetya
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Earth & Planetary Sciences Energy Engineering Environmental Science Physics

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Analysis of Petrophysical Parameter on Shaly Sand Reservoir by Comparing Conventional Method and Shaly Sand Method in Vulcan Subbasin, Northwest Australia Johanna, Ulrike; Kusumah, Epo Prasetya
Journal of Geoscience, Engineering, Environment, and Technology Vol. 8 No. 02-2 (2023): Special Issue from The 1st International Conference on Upstream Energy Techn
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2023.8.02-2.13880

Abstract

Vulcan Subbasin is an area with a lot of oil and gas exploration where is located in the Bonaparte Basin, Northwest Australia. There is some formation identified as sandstone reservoir with clay content which is usually called shaly sand based on the screening between resistivity log and density log. Clay content caused lower resistivity log readings so the shaly sand reservoir is considered as non-reservoir. To overcome this, a method besides the conventional method was applied to analyze the petrophysical parameters of shaly sand reservoir, it was shaly sand method. Petrophysical analysis is an analysis of rock physical parameters such as shale volume, porosity, and water saturation based on well log data. In this study, petrophysical analysis was carried out in the Vulcan Subbasin using 35 well log data, including gamma ray log, resistivity log, neutron log, and density log for the conventional method and shaly sand method involved Stieber equation and Thomas Stieber plot. The results obtained from this study are the comparison of petrophysical parameter values and pay summary between the conventional method and the shaly sand method, also its relation to the shale distribution type. By applying the shaly sand method, the average shale volume has decreased, the average porosity has increased, the average water saturation has increased, the average net to gross has increased, the average net thickness has increased, and the average net pay has increased. Changes in the average value were caused by laminated-dispersed shale distribution type which is influenced by diagenesis and the depositional environment of the formation.
Linear Regression for Flooding Surface Identification in Well Log, and Outcrop Image Kusumah, Epo Prasetya; Riadi, Ridha Santika; Setiawan, Teguh Surino
Bulletin of Geology Vol 6 No 2 (2022): Bulletin of Geology Special Issue: International Seminar on Earth Sciences and Te
Publisher : Fakultas Ilmu dan Teknologi Kebumian (FITB), Institut Teknologi Bandung (ITB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/bull.geol.2022.6.2.6

Abstract

Defining parasequences manually would take a huge amount of time. Interpretation subjectivity has also become an issue among stratigrapher when they are dealing with parasequence boundary identification which may resulting in inconsistency of parasequence identification. This paper means to present the use of automation in parasequence boundary identification using simple linear regression method in synthetic data, well log data, as well as outcrop image data. In stratigraphy, vertical succession of lithology holds a very important meaning. Vertical succession of lithology in paralic setting where deposition occurred in a certain sea level might shows coarsening upward vertical succession. In the event where flooding occurred and sea level abruptly rise, the coarsening vertical succession might be disturbed by sharp change of lithology into finer particle, or simply called vertical discontinuity. Stratigaphers may use vertical discontinuity to identify the presence of flooding surfaces or parasequence boundaries.Linear regression can be used to identify vertical discontinuity by measuring error occurred due to linear regression prediction. Vertical succession that showing deposition continuity might show small error number in the data where vertical disturbance occurred. The error value might increase significantly. Thus, it would be possible to determine flooding surface using linear regression by applying some threshold. This method has been proven to work using both well log data and outcrop image data which might ease stratigraphy analysis workflow in general. Keywords: Parasequence, automation, quantitative sedimentology, quantitative stratigraphy, sequence stratigraphy, computation
Co-Authors Johanna, Ulrike Riadi, Ridha Santika Setiawan, Teguh Surino