Predictions of the acoustic scattering response of free‐methane bubbles in muddy sediments

1996 ◽  
Vol 99 (1) ◽  
pp. 163-172 ◽  
Author(s):  
Anthony P. Lyons ◽  
Michael E. Duncan ◽  
Aubrey L. Anderson ◽  
James A. Hawkins
Keyword(s):  
Acoustic Scattering ◽  
Scattering Response ◽  
Muddy Sediments

Measuring the acoustic scattering response of small groups of live fish in a laboratory tank

2015 ◽  
Vol 137 (4) ◽  
pp. 2362-2362
Author(s):  
Maria P. Raveau ◽  
Christopher Feuillade ◽  
Gabriel Venegas ◽  
Preston S. Wilson
Keyword(s):  
Small Groups ◽  
Acoustic Scattering ◽  
Live Fish ◽  
Scattering Response ◽  
Laboratory Tank

scholarly journals Measuring the acoustic scattering response of small groups of live fish in a laboratory tank

2015 ◽  
Author(s):  
Maria P. Raveau ◽  
Christopher Feuillade ◽  
Gabriel Venegas ◽  
Preston Scott Wilson
Keyword(s):  
Small Groups ◽  
Acoustic Scattering ◽  
Live Fish ◽  
Scattering Response ◽  
Laboratory Tank

The echo of a fault or fracture

Geophysics ◽  
2000 ◽  
Vol 65 (1) ◽  
pp. 176-189 ◽  
Author(s):  
Geir U. Haugen ◽  
Michael A. Schoenberg
Keyword(s):  
Acoustic Scattering ◽  
Seismic Energy ◽  
Scattering Data ◽  
Isotropic Case ◽  
Fracture Characterization ◽  
Isotropic Media ◽  
Single Well ◽  
Analytical Formulae ◽  
Scattering Response ◽  
Physical Features

The seismic response of single faults, joints, or fractures of large planar extent is analyzed. These are modeled as nonwelded interfaces. In spite of the large range of scale, all are assumed to behave according to linear slip theory. Such a model has been considered theoretically and experimentally before. The aim of this paper is to give a physical interpretation to such a linear slip interface; to provide simple analytical formulae for the scattering response, even when the fracture is embedded in an anisotropic background medium; and to relate the properties of this scattering response, in the isotropic case, to the physical features of the fracture. The analysis shows that the reflectivity and transmissivity of the fracture depend on slowness along the fracture and on frequency. The frequency dependence arises from the fact that, even though the fracture is assumed to be an interface of zero thickness, it still has at least two characteristic widths that provide the length scales necessary for scattering dependence on wavelength. For isotropic media, the PP and SS reflections generally decrease in amplitude with increasing slowness along the fracture. At certain slowness values, they reach minima before starting to increase for still larger slownesses. The slowness value of these minima reveals the fracture compliances, from which inferences about the physical properties of the fracture may be drawn. Both forward modeling of the acoustic response of a fracture and the estimation of fracture properties from acoustic scattering data can benefit from the type of analysis presented here. The range of such problems extends from the scattering of earthquake‐generated seismic energy by major faults in the earth, through reservoir fracture characterization from single‐well sonic imaging, to the characterization of flaws or poorly bonded surfaces in ultrasonic nondestructive testing.

scholarly journals The Autoregressive Moving Average with Exogenous Excitation Model for Acoustic Scattering from Underwater Objects

2020 ◽  
Vol 18 (02) ◽  
pp. 157-162
Author(s):  
Lubna Farhi ◽  
Farhan Ur Rehman ◽  
Agha Yasir Ali
Keyword(s):  
Time Domain ◽  
Moving Average ◽  
Acoustic Scattering ◽  
Autoregressive Moving Average ◽  
Mean Square ◽  
Exogenous Variables ◽  
Scattering Response ◽  
Mean Square Error Criterion ◽  
Excitation Model ◽  
Initial Results

This study aims to identify and predict objects underwater using the autoregressive moving average with exogenous excitation (ARMX) model in such a way that the outcome of the model is similar to actual measurements. It is used for parameter estimation. This model is validated by comparing results in actual model with ARMX model, autoregressive with an exogenous variables, and Box Jenkins (BJ) model. The results are analyzed in frequency and time domain by using mean square error criterion. Initial results show that ARMX predicts the acoustic scattering response with an accuracy of 96%, while ARX provides an accuracy of 78%, and BJ model poorly estimates the signal with an accuracy of 35%. ARMX also provides higher accuracy of detection by 7-8% as compared to the existing techniques.

Acoustic scattering characteristic depend on length and swimming angle of scorpion fish (Sebasiscus marmoratus) based on ex-situ method

2016 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Yu-Geun JI ◽  
Kyu-Kyeong SHIM ◽  
Keon-Woo SONG ◽  
Eun-A YOON ◽  
Doo-Jin HWANG
Keyword(s):  
Acoustic Scattering ◽  
Ex Situ ◽  
Scorpion Fish ◽  
Scattering Characteristic

Acoustic Scattering Classification of Zooplankton and Microstructure

2003 ◽  
Author(s):  
Timothy K. Stanton ◽  
Peter H. Wiebe
Keyword(s):  
Acoustic Scattering
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