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Using 3D Seismic Technique in Previous HitPredictingNext Hit Bahariya Previous HitReservoirNext Hit Facies of the Kenz Field in Khalda Concession, Western Desert, Egypt

By

Azza Kamel1, Fekry Yousef1, Khaled Saied1

(1) Khalda Petroleum Company, Cairo, Egypt

 The discovery of the Kenz field is considered a paradigm (milestone) shift in Khalda’s exploration policy, which led to an outstandingly successful oil and gas development phase. The kenz discovery proved the existence of multi oil and gas reservoirs within the Bahariya and Alam El Bueib formations of the Lower Cretaceous.

The Bahariya formation is the main oil Previous HitreservoirNext Hit in the Kenz field as well as in nearby fields. The main productive zones in the Bahariya are the Upper and some of the subzones in the Lower Bahariya formation. The cumulative oil production from the Bahariya reached nearly over 5 MMSTBO, which represents more than 90% of the total oil production of the Kenz field.

The Bahariya formation is geographically well distributed in the Kenz field as well as the Khalda-West concession, without remarkable thickness variation. However, severe facies variations were observed from well to well. The Bahariya deposits are typical of muddy inner shelf and tidal flat environments, with sequences of small channels and bars. Thus, their Previous HitqualityNext Hit and orientation represents the main risk factor to be taken into account for assessing the Previous HitreservoirNext Hit uncertainty.

This paper is a trial to employ amplitude information from 3D seismic data, integrated with geological and petrophysical data to predict and model the facies distribution of the Bahariya reservoirs. Acoustic impedence inversion data has been used to derive amplitude maps for each Previous HitreservoirNext Hit subzone in order to construct facies maps that were calibrated with standard lithological data from wells. Amplitude maps for each Previous HitreservoirTop subzone were derived from acoustic impedence inversion data in order to construct facies maps and calibrate them to standard lithological data from wells.