Heuristic evolving latent projections: resolving two-way multicomponent data. 1. Selectivity, latent-projective graph, datascope, local rank, and unique resolution

1992 ◽  
Vol 64 (8) ◽  
pp. 936-946 ◽  
Author(s):  
Olav M. Kvalheim ◽  
Yi Zeng. Liang
Keyword(s):  
Projective Graph ◽  
Multicomponent Data ◽  
Local Rank

Identifying SS reflections in conventional onshore multicomponent data

2021 ◽  
Author(s):  
Saul E. Guevara ◽  
Daniel O. Trad
Keyword(s):  
Multicomponent Data

3D passive wavefield imaging using the energy norm

Geophysics ◽  
2019 ◽  
Vol 84 (2) ◽  
pp. KS13-KS27 ◽  
Author(s):  
Daniel Rocha ◽  
Paul Sava ◽  
Jeffrey Shragge ◽  
Ben Witten
Keyword(s):  
Wave Mode ◽  
Source Location ◽  
Time Step ◽  
Elastic Wave Equation ◽  
Imaging Condition ◽  
Mode Decomposition ◽  
Passive Seismic ◽  
Anisotropic Elastic ◽  
Wavefield Extrapolation ◽  
Multicomponent Data

In passive seismic monitoring of microseismicity, full-wavefield imaging offers a robust approach for the estimation of source location and mechanism. With multicomponent data and the full 3D anisotropic elastic wave equation, the coexistence of P- and S-modes at the source location in time-reversal wavefield extrapolation allows the development of imaging conditions that identify the source position and radiation pattern. We have developed an imaging condition for passive wavefield imaging that is based on energy conservation and is related to the source mechanism. Similar to the correlation between the decomposed P- and S-wavefields — the most common imaging condition used in passive elastic wavefield imaging — our proposed imaging condition compares the different modes present in the displacement field producing a strong and focused correlation at the source location without costly wave-mode decomposition at each time step. Numerical experiments demonstrate the advantages of the proposed imaging condition (compared to PS correlation with decomposed wave modes), its sensitivity with respect to velocity inaccuracy, and its quality and efficacy in estimating the source location.

scholarly journals On the Marchenko equation for multicomponent single-sided reflection data

2014 ◽  
Vol 199 (3) ◽  
pp. 1367-1371 ◽  
Author(s):  
Kees Wapenaar ◽  
Evert Slob
Keyword(s):  
Green’S Function ◽  
Recent Work ◽  
Green's Function ◽  
Scattered Field ◽  
Iterative Solution ◽  
Virtual Source ◽  
Function Representation ◽  
Reflection Data ◽  
Marchenko Equation ◽  
Multicomponent Data

Abstract Recent work on the Marchenko equation has shown that the scalar 3-D Green's function for a virtual source in the subsurface can be retrieved from the single-sided reflection response at the surface and an estimate of the direct arrival. Here, we discuss the first steps towards extending this result to multicomponent data. After introducing a unified multicomponent 3-D Green's function representation, we analyse its 1-D version for elastodynamic waves in more detail. It follows that the main additional requirement is that the multicomponent direct arrival, needed to initiate the iterative solution of the Marchenko equation, includes the forward-scattered field. Under this and other conditions, the multicomponent Green's function can be retrieved from single-sided reflection data, and this is demonstrated with a 1-D numerical example.

The Analysis of Matrix Formatted Multicomponent Data

1982 ◽  
pp. 75-140 ◽  
Author(s):  
Isiah M. Warner
Keyword(s):  
Multicomponent Data

Joint PP and PS Stratigraphic Inversion for Prestack Time Migrated Multicomponent Data

2005 ◽  
Author(s):  
D. Mace ◽  
Y. Agullo ◽  
K. Labat ◽  
T. Tonellot ◽  
A. Bourgeois ◽  
...  
Keyword(s):  
Multicomponent Data

Multicomponent Data Analysis and Wave Separation in Marine Seismic Survey

2001 ◽  
Author(s):  
X. Dagany ◽  
J. Mars ◽  
F. Luc
Keyword(s):  
Data Analysis ◽  
Seismic Survey ◽  
Wave Separation ◽  
Marine Seismic ◽  
Multicomponent Data

Continuous Progress in Processing Multicomponent Data - a Case Study

2002 ◽  
Author(s):  
B. Olofsson ◽  
J.H. Kommedal ◽  
O.I. Barkved ◽  
R. Alexandre ◽  
J. Brunelliere ◽  
...  
Keyword(s):  
Continuous Progress ◽  
Multicomponent Data

On-Board Processing of Ocean Bottom Cable Multicomponent Data

1998 ◽  
Author(s):  
N. Jones ◽  
J. E. Gaiser ◽  
E. Angerer
Keyword(s):  
Ocean Bottom ◽  
Multicomponent Data

Local Rank Deficiency Caused Problems in Analyzing Chemical Data

2017 ◽  
Vol 89 (4) ◽  
pp. 2259-2266 ◽  
Author(s):  
Mahsa Akbari Lakeh ◽  
Róbert Rajkó ◽  
Hamid Abdollahi
Keyword(s):  
Chemical Data ◽  
Rank Deficiency ◽  
Local Rank
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