A recent study using data from the Al-Khafji oil field, in the Arabian Gulf off Kuwait, shows how seismic attribute data can predict reservoir properties, such as porosity, and its lateral variations and extensions if the attributes are calibrated accurately with the respective petrophysical data. The study explored reservoir quality and its spatial distribution and examined the stratigraphic trapping mechanism with 3D imaging. The Al-Khafji field had available 350 km2 of 3D seismic and data from 62 wells. In the study, the geological marker was flattend along a calibrated time horizon helped define a prospective regional Wara lithozone between Wara and Mauddud formations. The lithozone predominantly consists of shales, siltstones, and sandstones with minor calcareous sediments. The study interferred a definite relationship between porosity and seismic attributes. Porosity estimation using seismic attributes at all seismic locations provided good confidence and the confidence improved at well locations, thus describing reservoir properties between and away from wells. Porosity maps derived from well-calibrated seismic amplitudes and computed sand volume maps also predicted possible geological environment under which the sand bodies were deposited, particularly in the eastern part of the main Al-Khafji field. In the eastern part of the area, the interpretation found a good confidence level for the associated porosity attributes and thereby opened up an additional exploration area for reserves additions and also for drillable exploratory or development locations.


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    Title :

    3D seismic data predict Al-Khafji reservoir attributes


    Additional title:

    Die Vorhersage von Eigenschaften von Öllagerstätten mit Hilfe von 3D-Seismik im Al-Khafjifeld


    Contributors:

    Published in:

    Oil and Gas Journal ; 103 , 8 ; 43-52


    Publication date :

    2005


    Size :

    9 Seiten, 9 Bilder, 1 Tabelle, 1 Quelle



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English







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