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Study on the amplitude inversion of internal waves at Wenchang area of the South China Sea 被引量:10
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作者 ZHANG Xudong WANG Jing +1 位作者 SUN Lina MENG Junmin 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2016年第7期14-19,共6页
The field experiment is conducted from April 16, 2005 to July 20, 2005 at Wenchang area east of Hainan Island (19~35'N, l12~E) of China. Internal wave packets are observed frequently with thermistor chains during t... The field experiment is conducted from April 16, 2005 to July 20, 2005 at Wenchang area east of Hainan Island (19~35'N, l12~E) of China. Internal wave packets are observed frequently with thermistor chains during the experiment. Meanwhile, internal waves are also detected from a synthetic aperture radar (SAR) image on June 19, 2005 and several other moderate-resolution imaging spectroradiometer (MODIS) images near a mooring position. The distance between the positive and negative peaks induced by the internal wave can be obtained from satellite images. Combined with remote sensing images and in situ data, a new method to inverse the amplitude of the internal wave is proposed based on a corrected nonlinear Schr6dinger (NLS) equation. Two relationships are given between the peak-to-peak distance and the characteristic wavelength of the internal wave for different nonlinear and dispersion coefficients. Based on the satellite images, the amplitude inversion of the internal waves are carried out with the NLS equation as well as the KdV equation. The calculated amplitudes of the NLS equation are close to the observation amplitude which promise the NLS equation a reliable method. 展开更多
关键词 internal wave amplitude inversion nonlinear SchrSdinger equation remote sensing image Wenchang area
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Improving seismic interpretation: a high-contrast approximation to the reflection coefficient of a plane longitudinal wave 被引量:12
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作者 Yin Xingyao Zong Zhaoyun Wu Guochen 《Petroleum Science》 SCIE CAS CSCD 2013年第4期466-476,共11页
Linearized approximations of reflection and transmission coefficients set a foundation for amplitude versus offset(AVO) analysis and inversion in exploration geophysics.However,the weak properties contrast hypothesi... Linearized approximations of reflection and transmission coefficients set a foundation for amplitude versus offset(AVO) analysis and inversion in exploration geophysics.However,the weak properties contrast hypothesis of those linearized approximate equations leads to big errors when the two media across the interface vary dramatically.To extend the application of AVO analysis and inversion to high contrast between the properties of the two layers,we derive a novel nonlinearized high-contrast approximation of the PP-wave reflection coefficient,which establishes the direct relationship between PPwave reflection coefficient and P-wave velocities,S-wave velocities and densities across the interface.(A PP wave is a reflected compressional wave from an incident compressional wave(P-wave).) This novel approximation is derived from the exact reflection coefficient equation with Taylor expansion for the incident angle.Model tests demonstrate that,compared with the reflection coefficients of the linearized approximations,the reflection coefficients of the novel nonlinearized approximate equation agree with those of the exact PP equation better for a high contrast interface with a moderate incident angle.Furthermore,we introduce a nonlinear direct inversion method utilizing the novel reflection coefficient equation as forward solver,to implement the direct inversion for the six parameters including P-wave velocities,S-wave velocities,and densities in the upper and lower layers across the interface.This nonlinear inversion algorithm is able to estimate the inverse of the nonlinear function in terms of model parameters directly rather than in a conventional optimization way.Three examples verified the feasibility and suitability of this novel approximation for a high contrast interface,and we still could estimate the six parameters across the interface reasonably when the parameters in both media across the interface vary about 50%. 展开更多
关键词 High-contrast interface reflection coefficient amplitude variation with angle multiparameter estimation artificial neural network inversion
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