While 3D seismic data become widespread and the datasets get larger, the demand for automation to speed up the seismic interpretation process is increasing as well. However, the development of intelligent tools which can do more to assist interpreters has been difficult due to low information content in seismic data. In this paper, we present an image processing method in which a-priori geological knowledge is incorporated to correlate horizons across faults. Our new method exploits anisotropic spatial correlation of horizons for robustness and aims at developing an interpreter friendly interactive environment. The results of this method are compared with previously proposed methods.


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    Title :

    Anisotropic 3D seismic features for robust horizons correlation across faults


    Contributors:
    Admasu, F. (author) / Toennies, K. (author)


    Publication date :

    2005-01-01


    Size :

    278820 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Anistropic 3D Seismic Features for Robust Horizons Correlation across Faults

    Admasu, F. / Toennies, K. | British Library Conference Proceedings | 2005



    Automatic Method for Correlating Horizons across Faults in 3D Seismic Data

    Admasu, F. / Toennies, K. / IEEE Computer Society | British Library Conference Proceedings | 2004