Kirchhoff migration of seismic data compressed by matching pursuit decomposition

1996 ◽  
Author(s):  
Bin Wang ◽  
Keh Pann
Keyword(s):  
Seismic Data ◽  
Matching Pursuit ◽  
Kirchhoff Migration ◽  
Matching Pursuit Decomposition

Relative P-impedance estimation using a dipole-based matching pursuit decomposition strategy

2015 ◽  
Vol 3 (4) ◽  
pp. T197-T206 ◽  
Author(s):  
Xiaotao Wen ◽  
Bo Zhang ◽  
Wayne Pennington ◽  
Zhenhua He
Keyword(s):  
Seismic Data ◽  
High Frequency ◽  
Reservoir Characterization ◽  
Matching Pursuit ◽  
Low Frequency ◽  
Data Set ◽  
Adaptive Smoothing ◽  
Impedance Inversion ◽  
Matching Pursuit Decomposition

The P-impedance is one of the most important elastic parameters of rocks, and it is commonly used for reservoir characterization. Conventional P-impedance inversion merges a low-frequency log-based model with a high-frequency seismic-derived model. We have proposed a method to estimate the P-impedance by employing dipole-based matching pursuit (DMP) decomposition. The matching pursuit decomposes the seismic traces into a superposition of scaled wavelets, and the associated scalar information represents the reflectivity series, which can be integrated for P-impedance estimation. Unfortunately, DMP analysis is usually performed trace by trace, resulting in a poor lateral continuity. Applying conventional lateral smoothing through mean or median filtering improves the lateral continuity but typically decreases the vertical resolution. We have evaluated an adaptive smoothing strategy that required the filtering to follow bed boundaries in an automated manner, sharpening the boundaries while maintaining the high quality of inversion. We have determined the effectiveness of our algorithm by first applying it to a synthetic wedge model and then to a real seismic data set.

Parametric Description of EEG Profiles for Assessment of Sleep Architecture in Disorders of Consciousness

2019 ◽  
Vol 29 (03) ◽  
pp. 1850049 ◽  
Author(s):  
Magdalena Zieleniewska ◽  
Anna Duszyk ◽  
Piotr Różański ◽  
Marcin Pietrzak ◽  
Marta Bogotko ◽  
...  
Keyword(s):  
Matching Pursuit ◽  
Disorders Of Consciousness ◽  
Sleep Architecture ◽  
Quality Of Sleep ◽  
Software Environment ◽  
Continuous Description ◽  
Matching Pursuit Decomposition ◽  
Parametric Description ◽  
Eeg Recordings

We propose a fully parametric approach to the assessment of sleep architecture, based upon the classical electroencephalographic criteria, applicable also to the recordings of patients with disorders of consciousness (DOC). Sleep spindles and slow waves are automatically detected from the matching pursuit decomposition of overnight EEG recordings. Their evolution can be presented in the form of EEG profiles, yielding a continuous description of sleep architecture, compatible with the classical criteria used in sleep staging. We propose assessment of these EEG profiles by five parameters, which can be combined by a linear classifier, assessing the quality of sleep architecture. Proposed methodology is evaluated on 59 overnight EEG recordings from 19 patients from a hospital for children with severe brain damage, in relation to their behavioral diagnosis according to the Coma Recovery Scale-Revised. Presented results indicate robustness of the proposed approach, which may serve as a valuable aid in diagnosis of DOC patients. Complete software environment for computing and presentation of EEG profiles is freely available from http://svarog.pl .

The link of Kirchhoff migration and demigration to Kirchhoff and Born modeling

Geophysics ◽  
1999 ◽  
Vol 64 (6) ◽  
pp. 1793-1805 ◽  
Author(s):  
Herman H. Jaramillo ◽  
Norman Bleistein
Keyword(s):  
Reflection Coefficient ◽  
Seismic Data ◽  
Kirchhoff Approximation ◽  
Kirchhoff Migration ◽  
Inversion Techniques

The Kirchhoff approximation provides a representation of seismic data as a summation of imaged data along isochron surfaces (demigration). The asymptotic inversion of this representation provides a migration as a summation of seismic data along diffraction surfaces. We replace Born inversion techniques with Kirchhoff inversion techniques and further show the link between the Kirchhoff and Born representations after the Born linearized reflection coefficient is replaced by the Kirchhoff reflection coefficient.

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