The presence of coal in complex structures featuring sandstone reservoirs seriously hinders reservoir characterization and the identification fluids subsurface formations. Coal can strongly obscure reflections from sandstone, easily leading to false bright spots during exploration; thus, their boundaries cannot be accurately described. Furthermore, layers intercalated with thin seams form compo...

Reservoir characterization has a leading role in the reservoir geophysics and reservoir management. Since the interests of the reservoir geophysics and reservoir managements are the elastic properties and reservoir properties of the subsurface rock for their purposes, a robust method is required for converting seismic data into elastic properties. Accordingly, by employing a rock physics model ...

Wavelet estimation plays an important role in many seismic processes like impedance inversion, amplitude versus offset (AVO) and full waveform inversion (FWI). Statistical methods of wavelet estimation away from well control are a desirable tool to support seismic signal processing. One of these methods based on Homomorphic analysis has long intrigued as a potentially elegant solution to the wa...

The federation of heterogeneous large astronomical databases foreseen in the framework of the AVO and NVO projects will pose unprecedented data mining and visualization problems which may find a rather natural and user friendly answer in artificial intelligence (A.I.) tools based on neural networks, fuzzy-C sets or genetic algorithms. We shortly describe some tools implemented by the AstroNeura...

Inversion of seismic AVO-data is an important part of reservoir evaluation. These data are convolved but the convolution kernel and the associated errorvariances are largely unknown. We aim at estimating these model parameters without using calibration observations in wells. This constitutes the first step in socalled blind deconvolution. We solve the seismic inverse problem in a Bayesian setti...

The uncertainty is proportional to the noise level, is dependent on the geology and is influenced by the acquisition geometry. Because of the nonlinearity of the inversion problem, azimuthal AVO inversion will always produce a positive estimate of the anisotropy gradient even if the media is isotropic; thus it is important that this attribute be examined along with its uncertainty. The interpre...