In this paper, we address the problem of sparse multichannel seismic deconvolution. We introduce Multichannel Sparse Spike Inversion (MSSI) as an iterative procedure, which deconvolves the seismic data and recovers the earth twodimensional (2D) reflectivity image, while taking into consideration the relations between spatially-neighboring traces. We demonstrate the improved performance of the p...

We address the problem of estimating seismic velocities inside the earth which is necessary for obtaining seismic images in regular Cartesian coordinates. We derive a relation between the true seismic velocities and the routinely obtained so called ”time migration velocities”, which are some kind of mean velocities. We formulate an inverse problem and show that it is ill-posed. We suggest three...

flow unit characterization plays an important role in heterogeneity analysis and reservoir simulation studies. usually, a correct description of the lateral variations of reservoir is associated with uncertainties. from this point of view, the well data alone does not cover reservoir properties. because of large well distances, it is difficult to build the model of a heterogenic reservoir, but ...

bandar abbas (center of hormozgan province) is the most important port city in the south of iran because of its historical places, cultural, economic, social and political importance. high risk of earthquake occurrence in this city and its province indicates the necessity of surveying the seismic vulnerability of buildings. the object of this paper is collected from existing buildings, compiled...

I show that, by estimating local event slopes in prestack seismic reflection data, it is possible to accomplish all common time-domain imaging tasks, from normal moveout to prestack time migration, without the need to estimate seismic velocities or any other attributes. Local slopes contain complete information about the reflection geometry. Once they are estimated, seismic velocities and all o...

The Minimum Weighted Norm Interpolation (MWNI) algorithm (Liu and Sacchi, 2004, Trad et al. 2005) has been proposed as a method to reconstruct band-limited seismic data that depends on 1, 2, 3 and 4 spatial dimensions. In addition, Sacchi and Liu (2005) and Hunt et. al (2008) have demonstrated the ability of the method to reconstruct the data prior to true amplitude migration. Recently, Trad (2...

Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismic wave modeling can facilitate users in the area of geophysics to calculate synthetic seismograms using federated HPC resources and complex solution algorithms without knowing their complexities. The present paper is ...

In seismic data processing, random noise seriously affects the seismic data quality and subsequently the interpretation. This study aims to increase the signal-tonoise ratio by suppressing random noise and improve the accuracy of seismic data interpretation without losing useful information. Hence, we propose a structureoriented polynomial fitting filter. At the core of structure-oriented filte...

An overview of Gaussian beam imaging is given for converted and surface reflected seismic waves. The earthquake seismology community now regularly uses seismic waves from distant sources to illuminate structures beneath seismic arrays in so-called passive imaging experiments. Similarly, reservoir structures can be imaged with seismic waves incident from below using sources in boreholes. Gaussia...

Multi-dimensional Fourier interpolators have become the industry standard for 5D seismic volume reconstruction. However, room for improvement exists and a few key aspects of seismic data reconstruction do require additional study. The latter includes stability in the presence of coherent noise and statics, recovery conditions for extremely sparse data sets and computational efficiency. This pre...