Seafloor shallow stratum sound energy attenuation model building and two important sound energy attenuation feature parameter extraction method

Abstract

The invention discloses a seafloor shallow stratum sound energy attenuation model building and two important sound energy attenuation feature parameter extraction method. The method mainly comprises the following steps: (1) according to a sonar equation, the sound energy level of reflected waves from the seafloor received by a receiving transducer is calculated; (2) starting from the seafloor, the echo sound energy level of each layers of seafloor shallow stratum sediments is calculated sequentially; (3) according to a surveying adjustment theory, the mathematical model for the whole sound energy propagation process of the shallow stratum is deduced; and (4) according to a slow change rule of sediment types of the shallow stratum in a transverse small range and further according to a least square rule, the back scattering difference and the attenuation compensation residual of neighboring traces on the same stratum are approximately equal. The attenuation rule of sound waves in the seafloor shallow stratum sediments is disclosed, two important acoustic parameters capable of reflecting physical features of the sediments are deduced, important acoustic feature parameters can be provided for classification of shallow stratumsediment types, and the sediment classification precision is better improved.

Description

technical field [0001] The invention relates to the field of marine geological engineering, in particular to the construction of a sound energy attenuation model in shallow seabed strata and a method for extracting two important sound energy attenuation characteristic parameters. Background technique [0002] As we all know, the detection of shallow seabed sediments is the basis for the investigation and research of seabed resources, marine environment development and marine engineering design. High-precision detection of submarine sediment types, precise detection and development of submarine resources, early warning of geological disasters such as submarine sediment evolution, submarine landslides and collapses, auxiliary surveys for cross-sea bridge construction, etc. At present, the detection of shallow sediments is especially closely concerned by experts in related fields. In sediment detection, the acoustic characteristic parameters of sediments play an important role ...

AI Technical Summary

Problems solved by technology

[0006] (1) There is no disclosure of the entire sound energy attenuation law in shallow formations, and there is no specific mathematical model that can describe the sound energy attenuation law in shallow formations

[0007] (2) In the traditional process of substratum classification in shallow strata, the texture characteristic parameters of sonar images of shallow strata are generally used, and the acoustic characteristic parameters that can reflect the attenuation law of shallow strata are rarely used. It may not be able to accurately reflect or detect the attenuation of sound energy during the propagation of shallow formations

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