EGU21-9287, updated on 04 Mar 2021
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

A Novel Approach for a better exploitation of a 3D seismic on a development field 

Nasrine Medjdouba1,2, Zahia Benaissa1, and Sabiha Annou2
Nasrine Medjdouba et al.
  • 1University of Sciences and Technology Houari Boumediène (usthb), Geosciences Faculty, BP 32, El Alia, Bab-Ezzouar, 16000 Algiers, Algeria
  • 2Sonatrach, Division Petroleum engineering and development

The main hydrocarbon-bearing reservoirover the study area is the lower Triassic Argilo-Gréseux reservoir. The Triassic sand is deposited as fluvial channels and overbank sands with a thickness ranging from 10 to 20 m, lying unconformably on the Paleozoic formations. Lateral and vertical distribution of the sand bodies is challenging which makes their mapping very difficult andnearly impossible with conventional seismic analysis. 

In order to better define the optimum drilling targets, the seismic attribute analysis and reservoir characterization process were performed targeting suchthin reservoir level, analysis of available two seismic vintages of PSTM cubes as well as post and pre stack inversion results were carried out.The combination of various attributes analysis (RMS amplitude, Spectral decomposition, variance, etc.) along with seismic inversion results has helped to clearly identify the channelized feature and its delineation on various horizon slices and geobodies, the results were reviewed and calibrated with reservoir properties at well location and showed remarkable correlation.

Ten development wells have been successfully drilledbased on the seismic analysis study, confirming the efficiency of seismic attribute analysis to predicted channel body geometry.

Keywords: Channel, Attributes, Amplitude, Inversion, Fluvial reservoir.

How to cite: Medjdouba, N., Benaissa, Z., and Annou, S.: A Novel Approach for a better exploitation of a 3D seismic on a development field , EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9287,, 2021.

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