The Computation of Attributes from Multi-fold Seismic Refraction Data

estimation of vs profiling by joint inversion of refraction microtremor and seismic refraction data using ga multi-objective optimization approach

it is very important to study and simulate s-wave structure for near surface (alluvium parts, in particular) owing to its direct relationship to urban facilities in geotechnical and earthquake engineering studies. so, in seismic microzonation, the first step is to study and identify s-wave pattern in alluvium in order to categorize different parts of cites according to s-wave velocity. current ...

Multi- and Monoscale Attributes for Well and Seismic Data

Inversion of seismic refraction data in planar dipping structure

A new method is presented for the direct inversion of seismic refraction data in dipping planar structure. Three recording geometries, each consisting of two common-shot profiles, are considered: reversed, split, and roll-along profiles. Inversion is achieved via slant stacking the common-shot wavefield to obtain a delay time-slowness (tau-p) wavefield. The tau-p curves from two shotpoints desc...

Computation of Seasonal Statistics from Annual Data for Iran's Economy

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Artificial Intelligence for prediction of porosity from Seismic Attributes: Case study in the Persian Gulf

Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...