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...

Seismic methods play an important role in the development of tight fractured reservoirs with substantial spatial variability of fracture density. Here, we apply a comprehensive processing sequence designed for layered azimuthally anisotropic media to wide-azimuth P-wave data acquired over a fractured gas sand formation in the Rulison field, Colorado. The main processing steps include nonhyperbo...

A problem of choosing an appropriate set of parameters for estimates calculating algorithms height optimization is considered. The task arises for example in AVO-polynomial recognition method that depends on height optimization of individual ECA items. Initially some subset of general ECA family was used for such an optimization according to the simplicity of the resulting algorithms. In the pr...

O BSERVATIONS OF enhancement in burning rates of fabrics and the unquenchabil i ty of fires in capsular environments of 100~ oxygen 1,2 prompted the present investigation. At the t ime of these observations this oxygen concentration at a pressure of 4.6 psia (equivalent to 29,000 feet) was the cabin atmosphere generally f avo red / Therefore, the initial experiments were undertaken to determine...

We present a Monte Carlo based strategy for non-linear inversion of seismic amplitude versus offset data. The problem is formulated in a Bayesian framework such that the solution to inverse problem is an a posteriori probability density. A priori information about the problem is defined as a Gaussian probability density. The problem is conditioned by observations of reflected P-waveforms. A non...

Experience with ASTROVIRTEL, scientific analysis of current large data sets, and detailed preparation for the truly huge future missions especially GAIA, provide important lessons for the Astrophysical Virtual Observatory. They demonstrate that the science cases are impressive, specifically allowing new thresholds to be crossed. The AVO is more than just faster cheaper better, it allows the new...

Sharing vehicles and rides may become the norm with public use of fully-automated self-driving in near future, assuming pandemic-related health concerns fade. Dynamic ride-sharing (DRS) or ride-pooling trips can significantly improve system performance by lowering empty vehicle-miles traveled (eVMT) increasing average vehicle occupancy (AVO). With several cities looking to promote efficient cur...