Dewanto, Ordas and Mulyatno, Bagus Sapto and Rizki Ordas, Perdana and Wibowo, Rahmat Catur (2021) Reservoir Properties Prediction Using Seismic Inversion and Geostatistical Integration. IOP Conference Series: Materials Science and Engineering, 1149. pp. 1-6. (Submitted)

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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: Article
Subjects: Q Science > Q Science (General)
Q Science > QE Geology
Divisions: Fakultas Teknik (FT) > Prodi Teknik Geofisika
Depositing User: ORDAS DEWA
Date Deposited: 24 May 2021 01:37
Last Modified: 24 May 2021 01:37

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