Introduction to Seismic Hazard Analysis Representations of Seismic Hazard Data completeness Recurrence Relation Gutenberg-Richter recurrence law Mmax Estimation Predictive relationships Deterministic Seismic Hazard Analysis Probabilistic Seismic Hazard Analysis Applicability of DSHA and PSHA Summary of uncertainties Uncertainty in the Hypocentral Distance Regional Recurrence Deaggregation Unifo...

Analysis and understanding of seismic anisotropy has proven to be a valuable tool in many exploration and reservoir management studies. Seismic anisotropy should not be viewed as a problem that must be dealt with but instead regarded as an additional attribute to understand the rocks within the reservoir and overburden. Recent developments in borehole and seismic methods coupled with the latest...

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 ...

On the basis of the optimization-based approach to the analysis of massive ordered data sets, a new method is proposed for computer-aided interpretation of seismic exploratory data from the so-called crystalline basement of the Earth mantle, which underlies the relatively thin sedimentary cover having been, up to now, the almost exceptional object of seismic explorations. The seismic explorator...

natural signals are continues, therefore, digitizing is an essential task enabling us to use computing tools to process them. according to the nyquist/shannon sampling theory, the sampling frequency must be at least twice the maximum frequency contained in the signal which is being sampled; otherwise, some high frequencies may be aliased and result in a bad reconstruction. the nyquist sampling ...

Under operator, matrix and inverse theory, seismic-wave imaging can be considered a unified process—mapping from data space to model space. The main topics in seismic-wave imaging include (1) seismic-data interpolation, regularization and redatuming, which mainly decrease the imaging noise; (2) seismic-wave illumination analysis, which predicts whether a target reflector can be imaged and evalu...

Different seismic data compression algorithms have been developed in order to make the storage more efficient, and to reduce both the transmission time and cost. In general, those algorithms have three stages: transformation, quantization and coding. The Wavelet transform is highly used to compress seismic data, due to the capabilities of the Wavelets on representing geophysical events in seism...

Unsupervised neural networks such as the Kohonen Self-Organizing Maps (SOM) have been widely used for searching natural clusters in multidimensional and massive data. One example where the data available for analysis can be extremely large is seismic interpretation for hydrocarbon exploration. In order to assist the interpreter in identifying characteristics of interest confined in the seismic ...

the oudna field part of the offshore northeastern tunisia, straddles between two structural domains, the tunisian atlas to the north and the pelagian sea to the south. the study of this field has confirmed adequate petroleum system in fahdene formations (albian-cenomanian) and birsa (serravallian) resulting from the combination of several sedimentary, tectonic and thermal factors. to do this, w...