Latest Research on Seismic Data: Dec – 2019

Seismic data processing: Theory and practice

This book emphasizes the sensible application of unstable processing ways. It provides data on laptop systems, processing, statistic analysis, unstable processing, migration and inversion theory and follow. Relevant component and procedures during a unstable processing laboratory ar mentioned. [1]

Nonlinear two‐dimensional elastic inversion of multioffset seismic data

The treatment of multioffset unstable knowledge as associate degree wave field is changing into more and more worrying to several geophysicists United Nations agency see a large number of wave phenomena, like amplitude‐offset variations and shearwave events, which may solely be explained by victimisation the additional correct elastic differential equation. Not solely area unit such phenomena unheeded by acoustic theory, however they’re conjointly treated as undesirable noise once they ought to be accustomed give additional data, like S‐wave speed, concerning the underwater. the issues of victimisation the traditional wave equation approach may be eliminated via associate degree elastic approach. during this paper, equations are derived to perform associate degree inversion for P‐wave speed, S‐wave speed, and density also because the P‐wave ohmic resistance, S‐wave ohmic resistance, and density. [2]

Migration of seismic data by phase shift plus interpolation

Under the horizontally stratified  speed assumption, migration is outlined by a group of freelance normal differential equations within the wavenumber‐frequency domain. The wave elements square measure work out downward by rotating their phases. This paper shows that one will generalize the ideas of the phase‐shift methodology to media having lateral speed variations. The wave extrapolation procedure consists of 2 steps. within the opening, the wave field is work out by the phase‐shift methodology victimization ℓ laterally uniform speed fields. The intermediate result’s ℓ reference wave fields. within the second step, the particular wave field is computed by interpolation from the reference wave fields. [3]

Continuous chatter of the Cascadia subduction zone revealed by machine learning

Tectonic faults append numerous manners, that vary from standard earthquakes to slow slip events to aseismic fault creep. Slow slip and associated tremor square measure common to several geological process zones, and occur down-dip from the close barred zone wherever megaquakes happen. within the clearest cases, like Cascadia, known tremor happens in distinct bursts, primarily throughout the slow slip event. Here we tend to show that the Cascadia geological process zone is seemingly endlessly broadcasting a low-amplitude, tremor-like signal that exactly informs of the fault displacement rate throughout the slow slip cycle. [4]

A Statistically Driven Spectral Method for Deriving Reservoir Properties Using 3D Seismic Data and Well Log Suites

A statistically driven spectral technique was allotted on 3D unstable knowledge and well logs in ‘’VIC’’ Field inside the Niger Delta with the aim of account reservoir properties and delineating stratigraphic options victimisation edge detection attributes like coherence therefore on have an improved and clearer read of subsurface  structure of a reservoir interval that possesses organic compound victimisation Spectral technique. [5]

Reference

[1] Hatton, L., Worthington, M.H. and Makin, J., 1986. Seismic data processing: theory and practice. Merlin Profiles Ltd. (Web Link)

[2] Mora, P., 1987. Nonlinear two-dimensional elastic inversion of multioffset seismic data. Geophysics, 52(9), (Web Link)

[3] Gazdag, J. and Sguazzero, P., 1984. Migration of seismic data by phase shift plus interpolation. Geophysics, 49(2), (Web Link)

[4] Continuous chatter of the Cascadia subduction zone revealed by machine learning
Bertrand Rouet-Leduc, Claudia Hulbert & Paul A. Johnson
Nature Geoscience volume 12, (Web Link)

[5] B. Olaseni, V., S. Onifade, Y., O. Airen, J. and Adeoti, L. (2018) “A Statistically Driven Spectral Method for Deriving Reservoir Properties Using 3D Seismic Data and Well Log Suites”, Asian Journal of Research and Reviews in Physics, 1(1), (Web Link)