Lithology Prediction from the Results of Full Elastic Wave-equation based Inversion Scheme
R. Feng, S.M. Luthi, A. Gisolf and S. Sharma
Event name: 78th EAGE Conference and Exhibition 2016
Session: Seismic Reservoir Characterization (B) - New Advanced Methods
Publication date: 31 May 2016
Info: Extended abstract, PDF ( 1.39Mb )
Price: € 20
Inversion results from seismic data of a synthetic example based on the Cretaceous fluvio-deltaic Book Cliffs outcrops in Utah (USA) have been used to extract the reservoir parameters. The input data sets are compressibility and shear compliance which are from the full elastic wave-equation based inversion method. A fuzzy logic inference algorithm has been applied in which the lithology templates are based on well-logging data. The membership functions of the lithologies are constructed firstly. Then inversion results are used to predict the reservoir lithology. It is suggested that this classification method performs well because most of the time the same or similar lithologies have been predicted. However, this approach heavily depends on the input inversion results and therefore the full elastic wave-equation based inversion has been chosen.