A low-frequency underwater sound source for seismic exploration.

2009 ◽  
Vol 126 (4) ◽  
pp. 2234 ◽  
Author(s):  
Elmer L. Hixson
Keyword(s):  
Sound Source ◽  
Low Frequency ◽  
Seismic Exploration ◽  
Underwater Sound

Resonance Low Frequency Sound Source With Extended Frequency Band

1995 ◽  
Author(s):  
Dimitri M. Donskoy ◽  
Jan Nazalewicz
Keyword(s):  
Frequency Band ◽  
Sound Source ◽  
Digital Signal Processor ◽  
Frequency Control ◽  
Low Cost ◽  
Reaction Force ◽  
Double Resonance ◽  
Low Frequency ◽  
Underwater Sound ◽  
Compact Size

Abstract A new concept of a low-frequency (< 1000-Hz) underwater sound source has been proposed and tested (Donskoy and Blue, 1994). The present work is a further development of the source. A full scale reaction force driver to power the source was developed, built, and tested. In order to extend frequency band of the source, a double resonance approach (resonating reaction mass and resonating radiation piston) was employed. This approach allows for a significant extension (up to 400%) of the frequency band without an increase in a vibromotive force. The driver consists of a brushless servomotor, a brushless resolver for feedback, a Digital Signal Processor (DSP) based servo amplifier, and an interface with a PC. Vibromotive force is created with an eccentric weight mounted to a resonating mechanical structure. The driver can generate up to 8.000 lbs force, it has a programmable frequency control in the range up to 117 Hz, high power output (3.3 kW), compact size, low weight, and relatively low cost.

A new concept of a low‐frequency underwater sound source

1994 ◽  
Vol 95 (4) ◽  
pp. 1977-1982 ◽  
Author(s):  
Dimitri M. Donskoy ◽  
Joseph E. Blue
Keyword(s):  
Sound Source ◽  
Low Frequency ◽  
Underwater Sound

A Low Frequency Underwater Sound Source with an Acoustic Reel Shape Resonator

1990 ◽  
Vol 29 (S1) ◽  
pp. 83
Author(s):  
Hiroyuki Hachiya ◽  
Shigeo Ohtsuki ◽  
Motoyoshi Okujima
Keyword(s):  
Sound Source ◽  
Low Frequency ◽  
Underwater Sound

Response of the Lungs to Low Frequency Underwater Sound.

1994 ◽  
Author(s):  
Peter H. Rogers ◽  
Gary W. Caille ◽  
Thomas N. Lewis
Keyword(s):  
Low Frequency ◽  
Underwater Sound

scholarly journals Low-Frequency Expansion Approach for Seismic Data Based on Compressed Sensing in Low SNR

2021 ◽  
Vol 11 (11) ◽  
pp. 5028
Author(s):  
Miaomiao Sun ◽  
Zhenchun Li ◽  
Yanli Liu ◽  
Jiao Wang ◽  
Yufei Su
Keyword(s):  
Reflection Coefficient ◽  
Compressed Sensing ◽  
Objective Function ◽  
Low Frequency ◽  
Original Data ◽  
Seismic Exploration ◽  
High Signal ◽  
Inversion Process ◽  
Frequency Information ◽  
Low Snr

Low-frequency information can reflect the basic trend of a formation, enhance the accuracy of velocity analysis and improve the imaging accuracy of deep structures in seismic exploration. However, the low-frequency information obtained by the conventional seismic acquisition method is seriously polluted by noise, which will be further lost in processing. Compressed sensing (CS) theory is used to exploit the sparsity of the reflection coefficient in the frequency domain to expand the low-frequency components reasonably, thus improving the data quality. However, the conventional CS method is greatly affected by noise, and the effective expansion of low-frequency information can only be realized in the case of a high signal-to-noise ratio (SNR). In this paper, well information is introduced into the objective function to constrain the inversion process of the estimated reflection coefficient, and then, the low-frequency component of the original data is expanded by extracting the low-frequency information of the reflection coefficient. It has been proved by model tests and actual data processing results that the objective function of estimating the reflection coefficient constrained by well logging data based on CS theory can improve the anti-noise interference ability of the inversion process and expand the low-frequency information well in the case of a low SNR.

Sign in / Sign up

Export Citation Format

Share Document