N-036 BAYESIAN WAVELET ESTIMATION FROM SEISMIC AND WELL LOG DATA ARILD BULAND 1 and HENNING OMRE 2 Abstract 1 Statoil Research Centre Postuttak N-7005 Trondheim Norway 2 Norwegian University of Science and Technology N-7491 Trondheim Norway A Bayesian method for wavelet estimation from seismic and well data is developed. The forward model is based on the convolution model where the reflectivity is calculated from the well logs. The estimated wavelet is given as a probability density function such that uncertainty in the wavelet is an integrated part of the solution. Seismic noise and possible mistie between the seismic and well


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