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...

With the development of computational power, there has been an increased focus on data-fitting related seismic inversion techniques for high fidelity seismic velocity model and image, such as full-waveform inversion and least square migration. However, though more advanced than conventional methods, these data fitting methods can be very expensive in terms of computational cost. Recently, vario...

Most of geothermal areas are located in seismically active regions. Because of an intensive tectonic regime, discontinuities of their lithosphere play the role of channels for powerful metallogenic heat and mass transfer processes, especially for intrusion of ultra-basic magmas with Fe, Mn etc. into the crust. Proceeding from the presence of substantial low resistivity structures in seismic lit...

Seismic modeling aids the geophysicists to have a better understanding of the subsurface image before the seismic acquisition, processing, and interpretation. In this regard, seismic survey modeling is employed to make a model close to the real structure and to obtain very realistic synthetic seismic data. The objective of this study is to analyze the resolution and illumination of the fault by...

In seismic data processing, deconvolution plays a very important role because it permits to increase the temporal resolution of seismic sections and to equalize sources. The deconvolution problem when the wavelet is known is an ill-posed problem that can be tackled via regularization methods. However, the seismic source wavelet is unknown and therefore, it must be estimated from the data prior ...

geological facies interpretation is essential for reservoir studying. the method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. use of neural networks as classifiers is increasing in different sciences like seismic. they are computer efficient and ideal for patterns identification. they can simply learn new algori...

based on the convolutional model, a seismic trace is the convolution of seismic source wavelet and reflection coefficient series of the earth. seismic source wavelet estimation is one of the most important stages in processing and interpretation of seismic data. accurate estimation of wavelet increases the efficiency of the deconvolution and temporal resolution of seismic data. on the other han...

In assessments of the seismic adequacy of existing steel bridges, the steel-to-concrete anchorage connections typically found at the base of steel truss piers can be potentially vulnerable, having little to no ductility and inadequate strength to resist seismic demands. Many other non-ductile failure locations may also exist along the seismic load path. Failure would result in unacceptable perf...