Dewanto, Ordas and Mulyanto, Bagus Sapto and Ordas, Perdana Rizki and Wibowo, Rahmat Catur Reservoir Properties Prediction Using Seismic Inversion and Geostatistical Integration. In: ICSTAR 2020, Bandar Lampung, Indonesia.
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Abstract
Exploration and production in the sand reservoir still have their challenges due to the low porosity and permeability characteristics. This study was conducted to analyse the characteristics of a tight sand reservoir based on a log property distribution map, using acoustic impedance inversion and multi-attribute analysis. Stepwise regression multi-attribute analysis is a method that uses the best attributes to predict the target log by going through a trial and error process. Choosing the right seismic attributes can provide a better depiction of the target zone. This research was conducted to obtain a map of subsurface geological structures, acoustic impedance volumes. Then, we performed a multi-attribute analysis to obtain a prediction of volume log properties such as pseudo gamma-ray, density and porosity using the stepwise regression method. The results of acoustic impedance seismic inversion and stepwise regression multi-attribute analysis shows that the reservoir is a gas with tight sand lithology, which has a range of acoustic impedance values of 15,000 ((ft/s)*(g/cc)) up to 30,000 ((ft/s)*(g/cc)), porosity of 12% to 24%, and the distribution of Sw of small value (8-13%). The density and porosity maps obtained from the multi-attributes analysis can help in the long-term exploration and production stages The aims are to improve primary recovery and tertiary recovery, understanding the stratigraphic traps, and continuity of reservoir layers.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QC Physics |
| Divisions: | Fakultas Teknik (FT) > Prodi Teknik Geofisika |
| Depositing User: | Rahmat Catur Wibowo, S.T., M.Eng. |
| Date Deposited: | 05 Nov 2021 01:50 |
| Last Modified: | 05 Nov 2021 01:50 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/35020 |
Available Versions of this Item
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Reservoir Properties Prediction Using Seismic Inversion and
Geostatistical Integration. (deposited 21 May 2021 05:48)
- Reservoir Properties Prediction Using Seismic Inversion and Geostatistical Integration. (deposited 05 Nov 2021 01:50) [Currently Displayed]
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