Double-Capon and double-MUSICAL for arrival separation and observable estimation in an acoustic waveguide

Touzé, Grégoire Le; Nicolas, Barbara; Mars, Jérôme; Roux, Philippe; Oudompheng, Benoit

doi:10.1186/1687-6180-2012-187

Cited by 8 publications

(5 citation statements)

References 25 publications

(32 reference statements)

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“…The use of high‐resolution beamforming is a way to separate such arrivals, with the possibility to keep both the travel‐time and slowness information (Le Touzé et al . ).…”

Section: Discussionmentioning

confidence: 97%

Using slowness and azimuth fluctuations as new observables for four‐dimensional reservoir seismic monitoring

Cacqueray

Roux

Campillo

2015

Geophysical Prospecting

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Four‐dimensional imaging using geophysical data is of increasing interest in the oil and gas industries. While travel‐time and amplitude variations are commonly used to monitor reservoir properties at depth, their interpretation can suffer from a lack of information to decipher the parts played by different parameters. In this context, this study focuses on the slowness and azimuth angle measured at the surface using source and receiver arrays as complementary observables. In the first step, array processing techniques are used to extract both azimuth and incidence angles at the source side (departure angles) and at the receiver side (arrival angles). In the second step, the slowness and angle variations are monitored in a laboratory environment. These new observables are compared with traditional arrival‐time variations when the propagation medium is subject to temperature fluctuations. Finally, field data from a heavy‐oil permanent reservoir monitoring system installed onshore and facing steam injection and temperature variations are investigated. The slowness variations are computed over a period of 152 days. In agreement with Fermat's principle, strong correlations between the slowness and arrival‐time variations are highlighted, as well as good consistency with other techniques and field pressure measurements. Although the temporal variations of slowness and arrival time show the same features, there are still differences that can be considered for further characterization of the physical changes at depth.

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“…The use of high‐resolution beamforming is a way to separate such arrivals, with the possibility to keep both the travel‐time and slowness information (Le Touzé et al . ).…”

Section: Discussionmentioning

confidence: 97%

Using slowness and azimuth fluctuations as new observables for four‐dimensional reservoir seismic monitoring

Cacqueray

Roux

Campillo

2015

Geophysical Prospecting

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“…Moreover, the raypaths are reflected or refracted by the emitted signal thus they are fully correlated or coherent, which will lead to a rank deficiency of the trispectrum matrix. To resolve the problems, we use a three dimensional smoothing technique 6 to generate several realizations based on the received signal. The smoothing is performed in the dimensions of the emitted array, the receiver array and the frequency bins, respectively.…”

Section: Principle Of the Algorithmmentioning

confidence: 99%

Three dimensional higher-order raypath separation in a shallow-water waveguide

Longyu¹,

Zhang²,

Roux³

2021

Preprint

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Separating raypaths in a multipath shallow-water environment is a challenge problem due to the interferences between them and colored noise existing in ocean environment, especially for two raypaths arrive close to each other. Thus, in this paper, a three dimensional (3D) higher-order raypath separation in an array to array configuration is proposed. Performance tests using simulation data in a multipath environment, real data obtained in an ultrasonic waveguide and ocean shallow-water data, respectively, illustrate that the proposed algorithm achieves a higher resolution and a stronger robustness comparing to the existing algorithms.

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“…Kalagnomos et al [12] have integrated conventional APES and its enhanced version is called as parameterized APES for enhance spectral estimations over radar imaging. Touze et al [13] have introduced a three dimensional estimators using Capon and MUSICAL algorithm with double precision. Candes et al [14] have designed a soft thresholding approach for performing spectral estimation using singular value over medical images for achieving an optimal spectral estimation technique.…”

Section: Introductionmentioning

confidence: 99%

Resolving the Issues of Capon and APES Approach for Projecting Enhanced Spectral Estimation

Prasad

Suresh

2016

IJECE

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There are various applications on signal processing that is highly dependent on preciseness and accuracy of the outcomes in spectrum of signals. Hence, from the past two decades the research community has recognized the benefits, significance, as well as associated problems in carrying out a model for spectral estimation. While in-depth investigation of the existing literatures shows that there are various attempts by the researchers to solve the issues associated with spectral estimations, where majority of teh research work is inclined towards addressing problems associated with Capon and APES techniques of spectral analysis. Therefore, this paper introduces a very simple technique towards resolving the issues of Capon and APES techniques. The outcome of the study was analyzed using correlational factor and power spectral density to find the proposed system offers better spectral estimations compared to existing system.

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Double-Capon and double-MUSICAL for arrival separation and observable estimation in an acoustic waveguide

Cited by 8 publications

References 25 publications

Using slowness and azimuth fluctuations as new observables for four‐dimensional reservoir seismic monitoring

Using slowness and azimuth fluctuations as new observables for four‐dimensional reservoir seismic monitoring

Three dimensional higher-order raypath separation in a shallow-water waveguide

Resolving the Issues of Capon and APES Approach for Projecting Enhanced Spectral Estimation

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